NVIDIA DGX Cloud Integrations

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Microsoft Azure serves as a versatile cloud computing platform that facilitates swift and secure development, testing, and management of applications. With Azure, you can innovate purposefully, transforming your concepts into actionable solutions through access to over 100 services that enable you to build, deploy, and manage applications in various environments—be it in the cloud, on-premises, or at the edge—utilizing your preferred tools and frameworks. The continuous advancements from Microsoft empower your current development needs while also aligning with your future product aspirations. Committed to open-source principles and accommodating all programming languages and frameworks, Azure allows you the freedom to build in your desired manner and deploy wherever it suits you best. Whether you're operating on-premises, in the cloud, or at the edge, Azure is ready to adapt to your current setup. Additionally, it offers services tailored for hybrid cloud environments, enabling seamless integration and management. Security is a foundational aspect, reinforced by a team of experts and proactive compliance measures that are trusted by enterprises, governments, and startups alike. Ultimately, Azure represents a reliable cloud solution, backed by impressive performance metrics that validate its trustworthiness. This platform not only meets your needs today but also equips you for the evolving challenges of tomorrow.

AWS is the leading provider of cloud computing, delivering over 200 fully featured services to organizations worldwide. Its offerings cover everything from infrastructure—such as compute, storage, and networking—to advanced technologies like artificial intelligence, machine learning, and agentic AI. Businesses use AWS to modernize legacy systems, run high-performance workloads, and build scalable, secure applications. Core services like Amazon EC2, Amazon S3, and Amazon DynamoDB provide foundational capabilities, while advanced solutions like SageMaker and AWS Transform enable AI-driven transformation. The platform is supported by a global infrastructure that includes 38 regions, 120 availability zones, and 400+ edge locations, ensuring low latency and high reliability. AWS integrates with leading enterprise tools, developer SDKs, and partner ecosystems, giving teams the flexibility to adopt cloud at their own pace. Its training and certification programs help individuals and companies grow cloud expertise with industry-recognized credentials. With its unmatched breadth, depth, and proven track record, AWS empowers organizations to innovate and compete in the digital-first economy.

NVIDIA's Isaac GR00T (Generalist Robot 00 Technology) serves as an innovative research platform aimed at the creation of versatile humanoid robot foundation models and their associated data pipelines. This platform features models such as Isaac GR00T-N, alongside synthetic motion blueprints, GR00T-Mimic for enhancing demonstrations, and GR00T-Dreams, which generates novel synthetic trajectories to expedite the progress in humanoid robotics. A recent highlight is the introduction of the open-source Isaac GR00T N1 foundation model, characterized by a dual-system cognitive structure that includes a rapid-response “System 1” action model and a language-capable, deliberative “System 2” reasoning model. The latest iteration, GR00T N1.5, brings forth significant upgrades, including enhanced vision-language grounding, improved following of language commands, increased adaptability with few-shot learning, and support for new robot embodiments. With the integration of tools like Isaac Sim, Lab, and Omniverse, GR00T enables developers to effectively train, simulate, post-train, and deploy adaptable humanoid agents utilizing a blend of real and synthetic data. This comprehensive approach not only accelerates robotics research but also opens up new avenues for innovation in humanoid robot applications.

NVIDIA Isaac is a comprehensive platform designed for the development of AI-driven robots, featuring an array of CUDA-accelerated libraries, application frameworks, and AI models that simplify the process of creating various types of robots, such as autonomous mobile units, robotic arms, and humanoid figures. A key component of this platform is NVIDIA Isaac ROS, which includes a suite of CUDA-accelerated computing tools and AI models that leverage the open-source ROS 2 framework to facilitate the development of sophisticated AI robotics applications. Within this ecosystem, Isaac Manipulator allows for the creation of intelligent robotic arms capable of effectively perceiving, interpreting, and interacting with their surroundings. Additionally, Isaac Perceptor enhances the rapid design of advanced autonomous mobile robots (AMRs) that can navigate unstructured environments, such as warehouses and manufacturing facilities. For those focused on humanoid robotics, NVIDIA Isaac GR00T acts as both a research initiative and a development platform, providing essential resources for general-purpose robot foundation models and efficient data pipelines, ultimately pushing the boundaries of what robots can achieve. Through these diverse capabilities, NVIDIA Isaac empowers developers to innovate and advance the field of robotics significantly.

NVIDIA Base Command™ is a software service designed for enterprise-level AI training, allowing organizations and their data scientists to expedite the development of artificial intelligence. As an integral component of the NVIDIA DGX™ platform, Base Command Platform offers centralized, hybrid management of AI training initiatives. It seamlessly integrates with both NVIDIA DGX Cloud and NVIDIA DGX SuperPOD. By leveraging NVIDIA-accelerated AI infrastructure, Base Command Platform presents a cloud-based solution that helps users sidestep the challenges and complexities associated with self-managing platforms. This platform adeptly configures and oversees AI workloads, provides comprehensive dataset management, and executes tasks on appropriately scaled resources, from individual GPUs to extensive multi-node clusters, whether in the cloud or on-site. Additionally, the platform is continuously improved through regular software updates, as it is frequently utilized by NVIDIA’s engineers and researchers, ensuring it remains at the forefront of AI technology. This commitment to ongoing enhancement underscores the platform's reliability and effectiveness in meeting the evolving needs of AI development.

NVIDIA AI Enterprise serves as the software backbone of the NVIDIA AI platform, enhancing the data science workflow and facilitating the development and implementation of various AI applications, including generative AI, computer vision, and speech recognition. Featuring over 50 frameworks, a range of pretrained models, and an array of development tools, NVIDIA AI Enterprise aims to propel businesses to the forefront of AI innovation while making the technology accessible to all enterprises. As artificial intelligence and machine learning have become essential components of nearly every organization's competitive strategy, the challenge of managing fragmented infrastructure between cloud services and on-premises data centers has emerged as a significant hurdle. Effective AI implementation necessitates that these environments be treated as a unified platform, rather than isolated computing units, which can lead to inefficiencies and missed opportunities. Consequently, organizations must prioritize strategies that promote integration and collaboration across their technological infrastructures to fully harness AI's potential.

Generative AI is transforming nearly every sector by opening up vast new avenues for knowledge and creative professionals to tackle some of the most pressing issues of our time. NVIDIA is at the forefront of this transformation, providing a robust array of cloud services, pre-trained foundation models, and leading-edge frameworks, along with optimized inference engines and APIs, to integrate intelligence into enterprise applications seamlessly. The NVIDIA AI Foundations suite offers cloud services that enhance generative AI capabilities at the enterprise level, allowing for tailored solutions in diverse fields such as text processing (NVIDIA NeMo™), visual content creation (NVIDIA Picasso), and biological research (NVIDIA BioNeMo™). By leveraging the power of NeMo, Picasso, and BioNeMo through NVIDIA DGX™ Cloud, organizations can fully realize the potential of generative AI. This technology is not just limited to creative endeavors; it also finds applications in generating marketing content, crafting narratives, translating languages globally, and synthesizing information from various sources, such as news articles and meeting notes. By harnessing these advanced tools, businesses can foster innovation and stay ahead in an ever-evolving digital landscape.

NVIDIA Picasso is an innovative cloud platform designed for the creation of visual applications utilizing generative AI technology. This service allows businesses, software developers, and service providers to execute inference on their models, train NVIDIA's Edify foundation models with their unique data, or utilize pre-trained models to create images, videos, and 3D content based on text prompts. Fully optimized for GPUs, Picasso enhances the efficiency of training, optimization, and inference processes on the NVIDIA DGX Cloud infrastructure. Organizations and developers are empowered to either train NVIDIA’s Edify models using their proprietary datasets or jumpstart their projects with models that have already been trained in collaboration with prestigious partners. The platform features an expert denoising network capable of producing photorealistic 4K images, while its temporal layers and innovative video denoiser ensure the generation of high-fidelity videos that maintain temporal consistency. Additionally, a cutting-edge optimization framework allows for the creation of 3D objects and meshes that exhibit high-quality geometry. This comprehensive cloud service supports the development and deployment of generative AI-based applications across image, video, and 3D formats, making it an invaluable tool for modern creators. Through its robust capabilities, NVIDIA Picasso sets a new standard in the realm of visual content generation.

NVIDIA has introduced an innovative generative AI model that utilizes both text and audio inputs to seamlessly produce a diverse array of music, voices, and sounds. This groundbreaking tool, developed by a team of experts in generative AI, serves as a versatile audio creation platform, empowering users to manipulate sound outputs through simple textual commands. Unlike other AI systems that might compose music or alter vocal tracks, this model boasts unmatched versatility and finesse. Named Fugatto, it can either generate new audio compositions or modify existing ones, based on user-defined prompts that incorporate various text and audio combinations. For instance, Fugatto can craft a musical piece from a descriptive text, adjust the instrumentation in a track, alter vocal tones and emotions, and even generate entirely new sounds that have never been heard before. With its capability to handle a wide range of audio generation and modification tasks, Fugatto stands out as the inaugural foundational generative AI model that reveals emergent properties, pushing the boundaries of what is possible in sound creation. Its diverse applications promise to inspire creativity across multiple domains in the music and audio industry.

NVIDIA Base Command Manager provides rapid deployment and comprehensive management for diverse AI and high-performance computing clusters, whether at the edge, within data centers, or across multi- and hybrid-cloud settings. This platform automates the setup and management of clusters, accommodating sizes from a few nodes to potentially hundreds of thousands, and is compatible with NVIDIA GPU-accelerated systems as well as other architectures. It facilitates orchestration through Kubernetes, enhancing the efficiency of workload management and resource distribution. With additional tools for monitoring infrastructure and managing workloads, Base Command Manager is tailored for environments that require accelerated computing, making it ideal for a variety of HPC and AI applications. Available alongside NVIDIA DGX systems and within the NVIDIA AI Enterprise software suite, this solution enables the swift construction and administration of high-performance Linux clusters, thereby supporting a range of applications including machine learning and analytics. Through its robust features, Base Command Manager stands out as a key asset for organizations aiming to optimize their computational resources effectively.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

The NVIDIA Llama Nemotron family comprises a series of sophisticated language models that are fine-tuned for complex reasoning and a wide array of agentic AI applications. These models shine in areas such as advanced scientific reasoning, complex mathematics, coding, following instructions, and executing tool calls. They are designed for versatility, making them suitable for deployment on various platforms, including data centers and personal computers, and feature the ability to switch reasoning capabilities on or off, which helps to lower inference costs during less demanding tasks. The Llama Nemotron series consists of models specifically designed to meet different deployment requirements. Leveraging the foundation of Llama models and enhanced through NVIDIA's post-training techniques, these models boast a notable accuracy improvement of up to 20% compared to their base counterparts while also achieving inference speeds that can be up to five times faster than other leading open reasoning models. This remarkable efficiency allows for the management of more intricate reasoning challenges, boosts decision-making processes, and significantly lowers operational expenses for businesses. Consequently, the Llama Nemotron models represent a significant advancement in the field of AI, particularly for organizations seeking to integrate cutting-edge reasoning capabilities into their systems.

NVIDIA DGX Cloud Serverless Inference provides a cutting-edge, serverless AI inference framework designed to expedite AI advancements through automatic scaling, efficient GPU resource management, multi-cloud adaptability, and effortless scalability. This solution enables users to reduce instances to zero during idle times, thereby optimizing resource use and lowering expenses. Importantly, there are no additional charges incurred for cold-boot startup durations, as the system is engineered to keep these times to a minimum. The service is driven by NVIDIA Cloud Functions (NVCF), which includes extensive observability capabilities, allowing users to integrate their choice of monitoring tools, such as Splunk, for detailed visibility into their AI operations. Furthermore, NVCF supports versatile deployment methods for NIM microservices, granting the ability to utilize custom containers, models, and Helm charts, thus catering to diverse deployment preferences and enhancing user flexibility. This combination of features positions NVIDIA DGX Cloud Serverless Inference as a powerful tool for organizations seeking to optimize their AI inference processes.

NVIDIA Cloud Functions (NVCF) is a serverless API tailored for deploying and managing AI tasks on GPUs, ensuring security, scalability, and dependable performance. It accommodates various access methods, including HTTP polling, HTTP streaming, and gRPC protocols, for interacting with workloads. Primarily, Cloud Functions is optimized for brief, preemptable tasks such as inferencing and model fine-tuning. Users can choose between two types of functions: "Container" and "Helm Chart," enabling them to customize functions according to their specific needs. Since workloads are transient and preemptable, it is crucial for users to save their progress diligently. Additionally, models, containers, helm charts, and other essential resources are stored and retrieved from the NGC Private Registry. To begin utilizing NVCF, users can refer to the quickstart guide for functions, which outlines a comprehensive workflow for establishing and launching a container-based function utilizing the fastapi_echo_sample container. This resource not only highlights the ease of setup but also encourages users to explore the full potential of NVIDIA’s serverless infrastructure.