Alternatives to Fortanix Confidential AI

Anjuna® Confidential Computing software makes the public cloud the safest and most secure place to compute--completely isolating existing data and workloads from insiders, bad actors, and malicious code. Anjuna software deploys simply in minutes as software over AWS, Azure, and other public clouds. By employing the strongest secure enclave data protection available, Anjuna software effectively replaces complex legacy perimeter security without disrupting operations, applications, or IT.

Cosmian’s Data Protection Suite offers a robust and advanced cryptography solution designed to safeguard sensitive data and applications, whether they are actively used, stored, or transmitted through cloud and edge environments. This suite features Cosmian Covercrypt, a powerful hybrid encryption library that combines classical and post-quantum techniques, providing precise access control with traceability; Cosmian KMS, an open-source key management system that facilitates extensive client-side encryption dynamically; and Cosmian VM, a user-friendly, verifiable confidential virtual machine that ensures its own integrity through continuous cryptographic checks without interfering with existing operations. Additionally, the AI Runner known as “Cosmian AI” functions within the confidential VM, allowing for secure model training, querying, and fine-tuning without the need for programming skills. All components are designed for seamless integration via straightforward APIs and can be quickly deployed through marketplaces such as AWS, Azure, or Google Cloud, thus enabling organizations to establish zero-trust security frameworks efficiently. The suite’s innovative approach not only enhances data security but also streamlines operational processes for businesses across various sectors.

Maple AI serves as a privacy-centric, versatile AI assistant tailored for professionals and individuals who value confidentiality in their online communications. Constructed with robust end-to-end encryption, secure enclaves, and a commitment to open-source transparency, Maple guarantees that your discussions remain your own, safeguarded, and available at any time and place. Whether you are a therapist handling sensitive client details, a lawyer preparing confidential materials, or an entrepreneur brainstorming innovative ideas, Maple AI facilitates secure and effective productivity. It enables seamless synchronization across various devices, allowing users to transition smoothly from desktop to mobile, ensuring they can continue from where they last left off without hassle. Maple AI creates a uniform and secure experience on all platforms. Its features, including chat history search, AI-generated chat naming, and tailored chat organization, significantly boost user productivity. Additionally, Maple provides a user-friendly interface that makes navigating through its features both intuitive and efficient, catering to a diverse range of professional needs.

OPAQUE Systems delivers a cutting-edge confidential AI platform designed to unlock the full potential of AI on sensitive enterprise data while maintaining strict security and compliance. By combining confidential computing with hardware root of trust and cryptographic attestation, OPAQUE ensures AI workflows on encrypted data are secure, auditable, and policy-compliant. The platform supports popular AI frameworks such as Python and Spark, enabling seamless integration into existing environments with no disruption or retraining required. Its turnkey retrieval-augmented generation (RAG) workflows allow teams to accelerate time-to-value by 4-5x and reduce costs by over 60%. OPAQUE’s confidential agents enable secure, scalable AI and machine learning on encrypted datasets, allowing businesses to leverage data that was previously off-limits due to privacy restrictions. Extensive audit logs and attestation provide verifiable trust and governance throughout AI lifecycle management. Leading financial firms like Ant Financial have enhanced their models using OPAQUE’s confidential computing capabilities. This platform transforms AI adoption by balancing innovation with rigorous data protection.

Lumo is an AI assistant focused on privacy, designed to harness the capabilities of generative AI while ensuring complete confidentiality in your conversations. Created by the privacy specialists behind Proton Mail and VPN, Lumo guarantees that your discussions are private, with no logs stored on its servers, and all saved conversations encrypted with zero-access encryption, which means that even Proton cannot access them. With an open-source framework, the service is both transparent and verifiable, allowing users to engage with it confidently. You can inquire about various topics with Lumo, whether it's summarizing documents, rewriting emails, assisting with coding, translating text, brainstorming ideas, and much more, all without worrying that your data will be used for training models or shared with outside parties. Conversations are protected with end-to-end encryption, and if you enable the AI’s web search feature, it utilizes privacy-conscious search engines. Accessible without the need for registration and available through both web and mobile applications, Lumo provides options for both free and premium plans. With its commitment to user privacy, Lumo stands out as a reliable choice for anyone concerned about the security of their information while interacting with AI.

nilGPT serves as a privacy-centric AI chat partner that prioritizes secure and anonymous engagement. The platform asserts that all interactions are governed by a principle of “data private by default,” where user inputs are fragmented and distributed across various nilDB nodes, while AI operations occur within secure enclaves, ensuring that data remains unexposed in a centralized manner. It presents a variety of tailored conversation modes, including wellness, personal assistant, and companion, to cater to diverse user needs. The service is designed to be a safe environment where individuals can express sensitive thoughts or personal matters without concerns about data retention or monitoring. Users can access it through both a web chat interface and a dedicated app, with the flexibility to either sign in or engage anonymously. According to the information available on its GitHub repository, nilGPT is constructed with “SecretLLM + SecretVaults” and is fully open source under the MIT license, promoting transparency and community collaboration. The focus on user privacy and customization makes nilGPT a distinctive choice in the landscape of AI chat companions.

CustomGPT serves as an AI platform designed to enhance customer engagement, boost employee productivity, and increase revenue by utilizing your company's own data alongside ChatGPT. By implementing a custom ChatGPT model trained specifically on your business resources, you can automate mundane tasks and deliver swift answers to customer questions, thereby allowing human employees to concentrate on higher-level responsibilities. Integrating ChatGPT with your business content enables more personalized and meaningful interactions with customers, significantly improving their overall experience. Explore the multitude of ways CustomGPT can optimize your processes and elevate your organization's effectiveness. Effortlessly integrate your business materials through our intuitive sitemap feature or by directly uploading documents, ensuring a hassle-free setup. Gain access to advanced AI functionalities with our ChatGPT-based custom chatbot, which can be easily shared through embed widgets, live chat, or an API. With tailored AI solutions, companies can enhance the relevance and personalization of their customer interactions, paving the way for stronger relationships and improved satisfaction. Embrace the potential of CustomGPT and transform the way your business interacts with its clients.

HIPAA-compliant AI chat solutions, API access, and enterprise-grade tools—powered by Anthropic’s Claude—Hathr AI enables healthcare providers, insurers, and professionals handling HIPAA-regulated data to streamline workflows while maintaining strict data security. Built within AWS GovCloud’s FedRAMP High environment, Hathr AI ensures all data interactions remain private and safeguarded from unauthorized access. Users can automate key processes like patient note summarization, pre-authorization drafting, and insurance claim submissions, all within a secure and intuitive platform. By leveraging advanced models such as Claude 3.5 Sonnet, Hathr AI delivers a private AI environment tailored for HIPAA compliance. Teams can efficiently extract and summarize data from complex medical records, supporting more informed clinical and administrative decisions.

Privatemode offers an AI service similar to ChatGPT, distinguished by its commitment to user data privacy. By utilizing confidential computing techniques, Privatemode ensures that your data is encrypted right from your device, maintaining its protection throughout the AI processing stages. This guarantees that your sensitive information is safeguarded at every step. Key features include: Complete encryption: Thanks to confidential computing, your data is continuously encrypted, whether it is being transferred, stored, or processed in memory. Comprehensive attestation: The Privatemode application and proxy confirm the integrity of the service using cryptographic certificates issued by hardware, ensuring trustworthiness. Robust zero-trust architecture: The design of the Privatemode service actively prevents any unauthorized access to your data, including from Edgeless Systems. EU-based hosting: The Privatemode infrastructure is located in premier data centers within the European Union, with plans for additional locations in the near future. This commitment to privacy and security sets Privatemode apart in the landscape of AI services.

Duality Technologies offers an innovative platform designed to enable privacy-preserving collaboration and AI-driven analysis on sensitive and distributed datasets without compromising security or compliance. Leveraging Privacy Enhancing Technologies such as fully homomorphic encryption, trusted execution environments, and federated learning, Duality ensures data remains encrypted and protected throughout its lifecycle. The platform facilitates seamless secure data collaboration and governance, allowing organizations to unlock valuable insights while preserving data privacy and sovereignty. Its applications span financial services, healthcare, government, and marketing, enabling secure risk assessment, patient research, and customer retention analytics. Duality integrates with leading cloud platforms like AWS, Azure, and Google, providing flexible deployment options with verifiable compliance. The company’s approach eliminates the need to move or expose sensitive data, significantly reducing regulatory and operational risks. Duality’s customers, including top global banks and government agencies, use the platform to securely evaluate AI models and collaborate across decentralized data environments. Their technology supports advanced AI workflows, enabling organizations to monetize sensitive data while maintaining full control and transparency.

Duck.ai is an AI-driven chatbot from DuckDuckGo, fully integrated into their search platform to offer conversational answers that prioritize user privacy. Utilizing sophisticated machine learning techniques, it delivers swift, precise, and context-aware responses on a wide variety of subjects. This chatbot aims to assist users in finding immediate information, while distinguishing itself by maintaining a strict policy against the collection, storage, or tracking of personal data. In harmony with DuckDuckGo's dedication to safeguarding user privacy, Duck.ai provides a trustworthy avenue for individuals to interact with AI while ensuring their anonymity and data protection remain intact. Additionally, the user-friendly interface makes it easy for anyone to access information without worrying about their privacy being compromised.

Qypt AI boosts productivity and protects sensitive information with features such as AI-driven document search and detailed access controls. It serves as an effective communication tool for teams, allowing for secure collaboration without compromising privacy. Suitable for both personal use and organizational needs, Qypt AI includes encrypted messaging, secure file transfers, and sophisticated document redaction techniques. This ensures that whether managing personal tax documents or essential business contracts, data security remains a priority at every stage. By implementing Qypt AI, users can eliminate the risk of data leaks and streamline their workflows significantly. Furthermore, its user-friendly interface makes it accessible for all levels of tech-savviness.

The Intel® Tiber™ AI Cloud serves as a robust platform tailored to efficiently scale artificial intelligence workloads through cutting-edge computing capabilities. Featuring specialized AI hardware, including the Intel Gaudi AI Processor and Max Series GPUs, it enhances the processes of model training, inference, and deployment. Aimed at enterprise-level applications, this cloud offering allows developers to create and refine models using well-known libraries such as PyTorch. Additionally, with a variety of deployment choices, secure private cloud options, and dedicated expert assistance, Intel Tiber™ guarantees smooth integration and rapid deployment while boosting model performance significantly. This comprehensive solution is ideal for organizations looking to harness the full potential of AI technologies.

Venice is an alternative to popular AI apps that does not require permission. This is a necessary alternative because these apps violate your privacy, and censor AI responses. Venice uses open-source AI technology that is leading in the industry to deliver uncensored and unbiased machine intelligence. We do this while protecting your privacy. At the touch of a button, you can search the entire world's knowledge, have rich conversations, analyse documents, create images and artwork, and more. Venice is very simple and requires no downloads. No installation is required. The service is free and no account is required for basic use. Venice is a clean, intuitive web app that will feel familiar to anyone with experience in generative AI. Your conversation history is only stored in your browser. Venice does not log or store prompt or model responses. Different AI models are available for different styles and results. Ability to save past conversations and organize them for future reference.

PrivateGPT serves as a personalized AI solution that integrates smoothly with a business's current data systems and tools while prioritizing privacy. It allows for secure, instantaneous access to information from various sources, enhancing team productivity and decision-making processes. By facilitating regulated access to a company's wealth of knowledge, it promotes better collaboration among teams, accelerates responses to customer inquiries, and optimizes software development workflows. The platform guarantees data confidentiality, providing versatile hosting choices, whether on-site, in the cloud, or through its own secure cloud offerings. PrivateGPT is specifically designed for organizations that aim to harness AI to tap into essential company data while ensuring complete oversight and privacy, making it an invaluable asset for modern businesses. Ultimately, it empowers teams to work smarter and more securely in a digital landscape.

Jatter is a chat application powered by AI that prioritizes your privacy and anonymity through client-side encryption, meaning that only you possess the key to access your messages while the service does not store any chat history. It enhances user privacy by removing personal identifiers before any processing occurs and enables you to quickly create emails, documents, or notes without compromising encryption. Additionally, Jatter offers detailed, tailored responses to a wide range of technical and creative inquiries, fostering a more efficient learning experience. When you mention locations, the app conveniently links them to maps, making trip planning and finding restaurants or attractions simpler, and it also features end-to-end encrypted location sharing for safely updating friends or colleagues about your position. Built on the GPT-4o Mini framework with integrated mapping capabilities, Jatter merges strong privacy measures with a diverse array of chat functionalities for thoughtful and secure discussions. Furthermore, its user-centric design ensures that every interaction remains protected while enhancing the overall communication experience.

Pipeshift is an adaptable orchestration platform developed to streamline the creation, deployment, and scaling of open-source AI components like embeddings, vector databases, and various models for language, vision, and audio, whether in cloud environments or on-premises settings. It provides comprehensive orchestration capabilities, ensuring smooth integration and oversight of AI workloads while being fully cloud-agnostic, thus allowing users greater freedom in their deployment choices. Designed with enterprise-level security features, Pipeshift caters specifically to the demands of DevOps and MLOps teams who seek to implement robust production pipelines internally, as opposed to relying on experimental API services that might not prioritize privacy. Among its notable functionalities are an enterprise MLOps dashboard for overseeing multiple AI workloads, including fine-tuning, distillation, and deployment processes; multi-cloud orchestration equipped with automatic scaling, load balancing, and scheduling mechanisms for AI models; and effective management of Kubernetes clusters. Furthermore, Pipeshift enhances collaboration among teams by providing tools that facilitate the monitoring and adjustment of AI models in real-time.

Armet AI offers a robust GenAI platform designed for security through Confidential Computing, encapsulating every phase from data ingestion and vectorization to LLM inference and response management within hardware-enforced secure enclaves. Utilizing technologies like Intel SGX, TDX, TiberTrust Services, and NVIDIA GPUs, it ensures that data remains encrypted whether at rest, in transit, or during processing; this is complemented by AI Guardrails that automatically cleanse sensitive inputs, enforce security protocols, identify inaccuracies, and adhere to organizational standards. Additionally, it provides comprehensive Data & AI Governance through consistent role-based access controls, collaborative project frameworks, and centralized management of access rights. The platform’s End-to-End Data Security guarantees zero-trust encryption across all layers, including storage, transit, and processing. Furthermore, Holistic Compliance ensures alignment with regulations such as GDPR, the EU AI Act, and SOC 2, safeguarding sensitive information like PII, PCI, and PHI, ultimately reinforcing the integrity and confidentiality of data handling processes. By addressing these vital aspects, Armet AI empowers organizations to leverage AI capabilities while maintaining stringent security and compliance measures.

Nscale is a specialized hyperscaler designed specifically for artificial intelligence, delivering high-performance computing that is fine-tuned for training, fine-tuning, and demanding workloads. Our vertically integrated approach in Europe spans from data centers to software solutions, ensuring unmatched performance, efficiency, and sustainability in all our offerings. Users can tap into thousands of customizable GPUs through our advanced AI cloud platform, enabling significant cost reductions and revenue growth while optimizing AI workload management. The platform is crafted to facilitate a smooth transition from development to production, whether employing Nscale's internal AI/ML tools or integrating your own. Users can also explore the Nscale Marketplace, which provides access to a wide array of AI/ML tools and resources that support effective and scalable model creation and deployment. Additionally, our serverless architecture allows for effortless and scalable AI inference, eliminating the hassle of infrastructure management. This system dynamically adjusts to demand, guaranteeing low latency and economical inference for leading generative AI models, ultimately enhancing user experience and operational efficiency. With Nscale, organizations can focus on innovation while we handle the complexities of AI infrastructure.

01.AI delivers an all-encompassing platform for deploying AI and machine learning models, streamlining the journey of training, launching, and overseeing these models on a large scale. The platform equips businesses with robust tools to weave AI seamlessly into their workflows while minimizing the need for extensive technical expertise. Covering the entire spectrum of AI implementation, 01.AI encompasses model training, fine-tuning, inference, and ongoing monitoring. By utilizing 01.AI's services, organizations can refine their AI processes, enabling their teams to prioritize improving model efficacy over managing infrastructure concerns. This versatile platform caters to a variety of sectors such as finance, healthcare, and manufacturing, providing scalable solutions that enhance decision-making abilities and automate intricate tasks. Moreover, the adaptability of 01.AI ensures that businesses of all sizes can leverage its capabilities to stay competitive in an increasingly AI-driven market.

Your sensitive information is processed exclusively in secure hardware enclaves that remain isolated from external access. The reliability of both code and data is assured, permitting only authorized actions. The Phala confidential contract adheres to various standards, such as Intel SGX and AMD SEV. It offers secure and dependable data storage and processing through a decentralized storage system and a unique random scheduling algorithm. Remote attestation ensures that contracts operate correctly within a trustless and confidential setting. All code and execution processes can be verified on-chain, reinforcing transparency. The utility of a smart contract diminishes significantly without composability, which is crucial for enhancing functionality. Notably, Phala stands out as the only confidential contract protocol that maintains both interoperability and composability, ensuring that users can easily integrate their contracts with other systems. This unique feature positions Phala as a leader in the development of confidential smart contracts.

Instill Core serves as a comprehensive AI infrastructure solution that effectively handles data, model, and pipeline orchestration, making the development of AI-centric applications more efficient. Users can easily access it through Instill Cloud or opt for self-hosting via the instill-core repository on GitHub. The features of Instill Core comprise: Instill VDP: A highly adaptable Versatile Data Pipeline (VDP) that addresses the complexities of ETL for unstructured data, enabling effective pipeline orchestration. Instill Model: An MLOps/LLMOps platform that guarantees smooth model serving, fine-tuning, and continuous monitoring to achieve peak performance with unstructured data ETL. Instill Artifact: A tool that streamlines data orchestration for a cohesive representation of unstructured data. With its ability to simplify the construction and oversight of intricate AI workflows, Instill Core proves to be essential for developers and data scientists who are harnessing the power of AI technologies. Consequently, it empowers users to innovate and implement AI solutions more effectively.

Intel Tiber Trust Authority operates as a zero-trust attestation service designed to guarantee the security and integrity of applications and data in diverse settings, such as various cloud environments, sovereign clouds, edge computing, and on-premises setups. This service conducts independent verification of the trustworthiness of compute assets, which includes infrastructure, data, applications, endpoints, AI/ML workloads, and identities, thereby affirming the validity of Intel Confidential Computing environments like Trusted Execution Environments (TEEs), Graphical Processing Units (GPUs), and Trusted Platform Modules (TPMs). It provides confidence in the authenticity of the operating environment, regardless of how the data center is managed, effectively addressing the essential need for a clear separation between cloud infrastructure providers and those who verify them. By enabling the expansion of workloads across on-premises, edge, multiple cloud, or hybrid deployments, Intel Tiber Trust Authority offers a consistent attestation service that is fundamentally rooted in silicon technology. This ensures that organizations can maintain robust security measures as they navigate increasingly complex computing landscapes.

BeeKeeperAI™ employs advanced privacy-preserving analytics across various institutional sources of protected data within a secure computing framework that includes end-to-end encryption, secure enclaves, and the latest processors from Intel featuring SGX technology, ensuring robust protection for both data and algorithm intellectual property. This system guarantees that data remains within the organization's secure cloud environment, thereby mitigating risks associated with control loss and potential data resharing. Unlike relying on synthetic or de-identified data, BeeKeeperAI™ utilizes original primary data directly from its sources, maintaining constant encryption throughout the process. The platform offers specialized tools and workflows tailored for healthcare that facilitate the creation, labeling, segmentation, and annotation of datasets. By leveraging secure enclaves, BeeKeeperAI™ effectively prevents any risk of data exfiltration and shields algorithm IP from potential internal and external threats. Acting as a crucial intermediary, BeeKeeperAI™ connects data stewards with algorithm developers, significantly cutting down the time, effort, and costs associated with data projects by more than half, thus streamlining the overall process. This innovative approach not only enhances data security but also fosters collaboration and efficiency in the healthcare sector.

FPT Cloud represents an advanced cloud computing and AI solution designed to enhance innovation through a comprehensive and modular suite of more than 80 services, encompassing areas such as computing, storage, databases, networking, security, AI development, backup, disaster recovery, and data analytics, all adhering to global standards. Among its features are scalable virtual servers that provide auto-scaling capabilities and boast a 99.99% uptime guarantee; GPU-optimized infrastructure specifically designed for AI and machine learning tasks; the FPT AI Factory, which offers a complete AI lifecycle suite enhanced by NVIDIA supercomputing technology, including infrastructure, model pre-training, fine-tuning, and AI notebooks; high-performance object and block storage options that are S3-compatible and encrypted; a Kubernetes Engine that facilitates managed container orchestration with portability across different cloud environments; as well as managed database solutions that support both SQL and NoSQL systems. Additionally, it incorporates sophisticated security measures with next-generation firewalls and web application firewalls, alongside centralized monitoring and activity logging features, ensuring a holistic approach to cloud services. This multifaceted platform is designed to meet the diverse needs of modern enterprises, making it a key player in the evolving landscape of cloud technology.

Oxtrys provides cloud infrastructure solutions that include high-performance virtual private servers (VPS) and dedicated hosting services distributed across key global locations such as the USA, Germany, the UK, Singapore, Australia, Japan, and India. Their VPS offerings utilize SSD storage along with Intel and AMD Xeon processors, ensuring powerful performance. Users benefit from complete root access, both IPv4 and IPv6 addresses, DDoS protection, and impressive uptime statistics ranging from 99.7% to 99.9%. The platform allows for seamless scaling of resources such as RAM, CPU cores, and storage, facilitated by a user-friendly control panel that supports live migration and upgrades. Additionally, Oxtrys provides managed support for quick setup, ongoing maintenance, and security services, including SSL certificates from DigiCert, as well as cloud backup solutions tailored for Forex-related applications. Furthermore, Oxtrys' infrastructure is adept at handling environments for AI and machine learning development, web hosting, software testing, and forex trading, all while taking advantage of strong network connectivity and dedicated bandwidth. In essence, Oxtrys aims to deliver a comprehensive hosting experience designed to meet the diverse needs of modern enterprises.

Oumi is an entirely open-source platform that enhances the complete lifecycle of foundation models, encompassing everything from data preparation and training to evaluation and deployment. It facilitates the training and fine-tuning of models with parameter counts ranging from 10 million to an impressive 405 billion, utilizing cutting-edge methodologies such as SFT, LoRA, QLoRA, and DPO. Supporting both text-based and multimodal models, Oumi is compatible with various architectures like Llama, DeepSeek, Qwen, and Phi. The platform also includes tools for data synthesis and curation, allowing users to efficiently create and manage their training datasets. For deployment, Oumi seamlessly integrates with well-known inference engines such as vLLM and SGLang, which optimizes model serving. Additionally, it features thorough evaluation tools across standard benchmarks to accurately measure model performance. Oumi's design prioritizes flexibility, enabling it to operate in diverse environments ranging from personal laptops to powerful cloud solutions like AWS, Azure, GCP, and Lambda, making it a versatile choice for developers. This adaptability ensures that users can leverage the platform regardless of their operational context, enhancing its appeal across different use cases.

Now you have the opportunity to fine-tune GPT without any technical expertise required. By customizing AI models to suit your individual requirements, you can enhance their capabilities effortlessly. With Prompteasy.ai, fine-tuning AI models takes just seconds, streamlining the process of creating personalized AI solutions. The best part is that you don't need to possess any knowledge of AI fine-tuning; our sophisticated models handle everything for you. As we launch Prompteasy, we are excited to offer it completely free of charge initially, with plans to introduce pricing options later this year. Our mission is to democratize AI, making it intelligent and accessible to everyone. We firmly believe that the real potential of AI is unlocked through the way we train and manage foundational models, rather than merely utilizing them as they come. You can set aside the hassle of generating extensive datasets; simply upload your relevant materials and engage with our AI using natural language. We will take care of constructing the dataset needed for fine-tuning, allowing you to simply converse with the AI, download the tailored dataset, and enhance GPT at your convenience. This innovative approach empowers users to harness the full capabilities of AI like never before.

Intel® Tiber™ AI Studio serves as an all-encompassing machine learning operating system designed to streamline and unify the development of artificial intelligence. This robust platform accommodates a diverse array of AI workloads and features a hybrid multi-cloud infrastructure that enhances the speed of ML pipeline creation, model training, and deployment processes. By incorporating native Kubernetes orchestration and a meta-scheduler, Tiber™ AI Studio delivers unparalleled flexibility for managing both on-premises and cloud resources. Furthermore, its scalable MLOps framework empowers data scientists to seamlessly experiment, collaborate, and automate their machine learning workflows, all while promoting efficient and cost-effective resource utilization. This innovative approach not only boosts productivity but also fosters a collaborative environment for teams working on AI projects.

According to IDC's forecast, by the year 2023, there will be a staggering 300 percent increase in applications operating within data centers and edge environments, alongside the creation of 500 million digital applications and services leveraging cloud-native methodologies. Elevate the performance of your applications with a versatile 2-socket modular server powered by 4th Gen Intel Xeon Scalable processors. Prepare for the future with a system designed to foster rapid innovation while facilitating simplified cloud management. Enhance your efficiency through a flexible operational framework and a versatile hybrid cloud infrastructure. Seamlessly integrate any application onto a highly efficient modular and scalable platform. Additionally, utilize UCS X-Fabric Technology to seamlessly connect PCIe nodes with compute nodes, ensuring optimal performance and connectivity. This comprehensive approach positions your organization to thrive in the evolving digital landscape.

Explore a diverse array of resources to kickstart your AI initiative. The AI hub offers an extensive selection of essential tools, such as industry-specific AI starter kits, datasets, coding notebooks, pre-trained models, and ready-to-deploy solutions and pipelines. Gain access to top-notch resources from external sources or those developed internally by your organization. Efficiently prepare and manage your data for model training by collecting, organizing, tagging, or selecting features, with a user-friendly drag-and-drop interface. Collaborate seamlessly with team members to tag extensive datasets and implement a robust quality control process to maintain high dataset standards. Easily build models with just a few clicks using intuitive model wizards, requiring no prior data science expertise. The system intelligently identifies the most suitable models for your specific challenges while optimizing their training parameters. For those with advanced skills, there's the option to fine-tune models and adjust hyper-parameters. Furthermore, enjoy the convenience of one-click deployment into production environments for inference. With this comprehensive framework, your AI project can flourish with minimal hassle.

Amazon SageMaker simplifies the process of deploying machine learning models for making predictions, also referred to as inference, ensuring optimal price-performance for a variety of applications. The service offers an extensive range of infrastructure and deployment options tailored to fulfill all your machine learning inference requirements. As a fully managed solution, it seamlessly integrates with MLOps tools, allowing you to efficiently scale your model deployments, minimize inference costs, manage models more effectively in a production environment, and alleviate operational challenges. Whether you require low latency (just a few milliseconds) and high throughput (capable of handling hundreds of thousands of requests per second) or longer-running inference for applications like natural language processing and computer vision, Amazon SageMaker caters to all your inference needs, making it a versatile choice for data-driven organizations. This comprehensive approach ensures that businesses can leverage machine learning without encountering significant technical hurdles.

NetApp AIPod presents a holistic AI infrastructure solution aimed at simplifying the deployment and oversight of artificial intelligence workloads. By incorporating NVIDIA-validated turnkey solutions like the NVIDIA DGX BasePOD™ alongside NetApp's cloud-integrated all-flash storage, AIPod brings together analytics, training, and inference into one unified and scalable system. This integration allows organizations to efficiently execute AI workflows, encompassing everything from model training to fine-tuning and inference, while also prioritizing data management and security. With a preconfigured infrastructure tailored for AI operations, NetApp AIPod minimizes complexity, speeds up the path to insights, and ensures smooth integration in hybrid cloud settings. Furthermore, its design empowers businesses to leverage AI capabilities more effectively, ultimately enhancing their competitive edge in the market.

SiliconFlow is an advanced AI infrastructure platform tailored for developers, providing a comprehensive and scalable environment for executing, optimizing, and deploying both language and multimodal models. With its impressive speed, minimal latency, and high throughput, it ensures swift and dependable inference across various open-source and commercial models while offering versatile options such as serverless endpoints, dedicated computing resources, or private cloud solutions. The platform boasts a wide array of features, including integrated inference capabilities, fine-tuning pipelines, and guaranteed GPU access, all facilitated through an OpenAI-compatible API that comes equipped with built-in monitoring, observability, and intelligent scaling to optimize costs. For tasks that rely on diffusion, SiliconFlow includes the open-source OneDiff acceleration library, and its BizyAir runtime is designed to efficiently handle scalable multimodal workloads. Built with enterprise-level stability in mind, it incorporates essential features such as BYOC (Bring Your Own Cloud), strong security measures, and real-time performance metrics, making it an ideal choice for organizations looking to harness the power of AI effectively. Furthermore, SiliconFlow's user-friendly interface ensures that developers can easily navigate and leverage its capabilities to enhance their projects.

GPU.ai is a cloud service designed specifically for GPU infrastructure aimed at artificial intelligence tasks. The platform provides two primary offerings: the GPU Instance, which allows users to initiate compute instances equipped with the latest NVIDIA GPUs for various functions such as training, fine-tuning, and inference, and a model inference service where users can upload their pre-trained models, with GPU.ai managing the deployment process. Among the available hardware options are the H200s and A100s, catering to different performance requirements. Additionally, GPU.ai accommodates custom requests through its sales team, ensuring quick responses—typically within about 15 minutes—for those with specific GPU or workflow needs, making it a versatile choice for developers and researchers alike. This flexibility enhances user experience by enabling tailored solutions that align with individual project demands.

While generative AI is a relatively recent development, our efforts over the last five years have paved the way for this moment. Deep Lake merges the strengths of data lakes and vector databases to craft and enhance enterprise-level solutions powered by large language models, allowing for continual refinement. However, vector search alone does not address retrieval challenges; a serverless query system is necessary for handling multi-modal data that includes embeddings and metadata. You can perform filtering, searching, and much more from either the cloud or your local machine. This platform enables you to visualize and comprehend your data alongside its embeddings, while also allowing you to monitor and compare different versions over time to enhance both your dataset and model. Successful enterprises are not solely reliant on OpenAI APIs, as it is essential to fine-tune your large language models using your own data. Streamlining data efficiently from remote storage to GPUs during model training is crucial. Additionally, Deep Lake datasets can be visualized directly in your web browser or within a Jupyter Notebook interface. You can quickly access various versions of your data, create new datasets through on-the-fly queries, and seamlessly stream them into frameworks like PyTorch or TensorFlow, thus enriching your data processing capabilities. This ensures that users have the flexibility and tools needed to optimize their AI-driven projects effectively.

Our flexible modular design allows you to tailor your infrastructure to match the specific demands of your workload, ensuring operational efficiency and a predictable total cost of ownership. With data growth reaching unprecedented rates, the ability to expand your storage quickly and affordably has become essential. Regardless of whether you opt for traditional spinning disks, SSDs, NVMe, or a hybrid solution, the Cisco UCS S-Series enables you to scale up to petabytes in just minutes. As new applications continue to challenge performance thresholds by shifting data closer to computing resources, a dual server node setup utilizing 2nd Gen Intel® Xeon® Scalable processors offers an ideal mix of computational power and storage capacity. Investing wisely in technology can yield substantial long-term advantages, enhancing your business's agility and responsiveness. The Cisco UCS S-Series is designed for maximum investment protection, featuring a multi-generational system architecture that offers the adaptability to meet your specific needs while accommodating future growth. In this rapidly evolving landscape, choosing the right technology is crucial to maintaining a competitive edge.

Amazon EC2 Inf1 instances are specifically designed to provide efficient, high-performance machine learning inference at a competitive cost. They offer an impressive throughput that is up to 2.3 times greater and a cost that is up to 70% lower per inference compared to other EC2 offerings. Equipped with up to 16 AWS Inferentia chips—custom ML inference accelerators developed by AWS—these instances also incorporate 2nd generation Intel Xeon Scalable processors and boast networking bandwidth of up to 100 Gbps, making them suitable for large-scale machine learning applications. Inf1 instances are particularly well-suited for a variety of applications, including search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization, and fraud detection. Developers have the advantage of deploying their ML models on Inf1 instances through the AWS Neuron SDK, which is compatible with widely-used ML frameworks such as TensorFlow, PyTorch, and Apache MXNet, enabling a smooth transition with minimal adjustments to existing code. This makes Inf1 instances not only powerful but also user-friendly for developers looking to optimize their machine learning workloads. The combination of advanced hardware and software support makes them a compelling choice for enterprises aiming to enhance their AI capabilities.

Enhance and launch AI models using Simplismart's ultra-fast inference engine. Seamlessly connect with major cloud platforms like AWS, Azure, GCP, and others for straightforward, scalable, and budget-friendly deployment options. Easily import open-source models from widely-used online repositories or utilize your personalized custom model. You can opt to utilize your own cloud resources or allow Simplismart to manage your model hosting. With Simplismart, you can go beyond just deploying AI models; you have the capability to train, deploy, and monitor any machine learning model, achieving improved inference speeds while minimizing costs. Import any dataset for quick fine-tuning of both open-source and custom models. Efficiently conduct multiple training experiments in parallel to enhance your workflow, and deploy any model on our endpoints or within your own VPC or on-premises to experience superior performance at reduced costs. The process of streamlined and user-friendly deployment is now achievable. You can also track GPU usage and monitor all your node clusters from a single dashboard, enabling you to identify any resource limitations or model inefficiencies promptly. This comprehensive approach to AI model management ensures that you can maximize your operational efficiency and effectiveness.

These 1U rack systems offer substantial memory capacity along with versatile networking, storage, and I/O options that allow for seamless scaling as your enterprise expands and changes. Engineered to support the Intel® Xeon® Scalable processor, these systems based on the Intel® Server Board S2600WF are tailored to meet the needs of your most intensive workloads. Additionally, Intel® Data Center Systems (Intel® DCS) are rigorously validated server solutions designed to help partners expedite their time to market while utilizing Intel’s cutting-edge technology. Furthermore, Intel customizes servers according to your specifications by using a selection of thoroughly validated components, ensuring optimal performance and reliability for your specific requirements.

Businesses now have numerous options to efficiently train their deep learning and machine learning models without breaking the bank. AI accelerators cater to various scenarios, providing solutions that range from economical inference to robust training capabilities. Getting started is straightforward, thanks to an array of services designed for both development and deployment purposes. Custom-built ASICs known as Tensor Processing Units (TPUs) are specifically designed to train and run deep neural networks with enhanced efficiency. With these tools, organizations can develop and implement more powerful and precise models at a lower cost, achieving faster speeds and greater scalability. A diverse selection of NVIDIA GPUs is available to facilitate cost-effective inference or to enhance training capabilities, whether by scaling up or by expanding out. Furthermore, by utilizing RAPIDS and Spark alongside GPUs, users can execute deep learning tasks with remarkable efficiency. Google Cloud allows users to run GPU workloads while benefiting from top-tier storage, networking, and data analytics technologies that improve overall performance. Additionally, when initiating a VM instance on Compute Engine, users can leverage CPU platforms, which offer a variety of Intel and AMD processors to suit different computational needs. This comprehensive approach empowers businesses to harness the full potential of AI while managing costs effectively.

Reduce the timeframe for proposal production from lengthy weeks to swift days. Vultron's proprietary multi-domain models are favored 94% of the time due to their effectiveness. In contrast, foundation models tend to create generic content that poses various risks, including potential intellectual property violations, confidentiality breaches, hallucinations, and the generation of repetitive content. Although fine-tuned models can produce organization-specific content, they often lack responsiveness, substantiation, and clear explanations, leading to the need for extensive rewrites and multiple revisions. Custom-built models, tailored specifically for each organization and focused on proposal development, seamlessly integrate into every workflow. These models embed the organization's capabilities and brand voice throughout the content creation process, resulting in timely delivery of high-quality outcomes. Accelerate revenue growth by fostering new business opportunities and enhancing on-contract performance. Moreover, this approach not only boosts proposal speed and quality but also ensures that Vultron adheres to the highest security standards, safeguarding your organization's sensitive data at all times. Ultimately, this unique blend of speed, quality, and security positions Vultron as a preferred choice for organizations looking to enhance their proposal strategies.

Baseten is a cloud-native platform focused on delivering robust and scalable AI inference solutions for businesses requiring high reliability. It enables deployment of custom, open-source, and fine-tuned AI models with optimized performance across any cloud or on-premises infrastructure. The platform boasts ultra-low latency, high throughput, and automatic autoscaling capabilities tailored to generative AI tasks like transcription, text-to-speech, and image generation. Baseten’s inference stack includes advanced caching, custom kernels, and decoding techniques to maximize efficiency. Developers benefit from a smooth experience with integrated tooling and seamless workflows, supported by hands-on engineering assistance from the Baseten team. The platform supports hybrid deployments, enabling overflow between private and Baseten clouds for maximum performance. Baseten also emphasizes security, compliance, and operational excellence with 99.99% uptime guarantees. This makes it ideal for enterprises aiming to deploy mission-critical AI products at scale.

Achieving ultra-rapid market analysis and order fulfillment relies on advanced algorithms supported by high-performance servers. Equipped with either single Intel® Core™ i9 i9-10980XE / i9-7980XE or dual Intel® Xeon® Scalable processors, CIARA ORION high-frequency servers are tailored to fulfill all your needs for speedy processing, ensuring you maintain an edge in the competitive high-frequency trading landscape. These systems are engineered for the demanding, regulated environments of trading and foreign exchange sectors. With a robust fleet of over 10,000 computers operating across 28 global stock exchanges, CIARA ORION high-frequency servers offer the dependability, scalability, and security that your clients expect and deserve. Each system is meticulously validated and fine-tuned with industry leaders such as Xilinx (Solarflare), Nvidia (Mellanox), Cisco (Exablaze), and Intel® (Altera). Ultimately, CIARA ORION high-frequency servers serve as the backbone of the trading community, ensuring that market players can respond swiftly and accurately to ever-changing conditions. The integration of cutting-edge technology makes these servers a vital asset for any trading operation.

Introducing the next iteration of our open-source large language model, this version features model weights along with initial code for the pretrained and fine-tuned Llama language models, which span from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been developed using an impressive 2 trillion tokens and offer double the context length compared to their predecessor, Llama 1. Furthermore, the fine-tuned models have been enhanced through the analysis of over 1 million human annotations. Llama 2 demonstrates superior performance against various other open-source language models across multiple external benchmarks, excelling in areas such as reasoning, coding capabilities, proficiency, and knowledge assessments. For its training, Llama 2 utilized publicly accessible online data sources, while the fine-tuned variant, Llama-2-chat, incorporates publicly available instruction datasets along with the aforementioned extensive human annotations. Our initiative enjoys strong support from a diverse array of global stakeholders who are enthusiastic about our open approach to AI, including companies that have provided valuable early feedback and are eager to collaborate using Llama 2. The excitement surrounding Llama 2 signifies a pivotal shift in how AI can be developed and utilized collectively.