Compare Gemma 3n vs. MedGemma

LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents. Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development. Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Google AI Studio is a user-friendly, web-based workspace that offers a streamlined environment for exploring and applying cutting-edge AI technology. It acts as a powerful launchpad for diving into the latest developments in AI, making complex processes more accessible to developers of all levels. The platform provides seamless access to Google's advanced Gemini AI models, creating an ideal space for collaboration and experimentation in building next-gen applications. With tools designed for efficient prompt crafting and model interaction, developers can quickly iterate and incorporate complex AI capabilities into their projects. The flexibility of the platform allows developers to explore a wide range of use cases and AI solutions without being constrained by technical limitations. Google AI Studio goes beyond basic testing by enabling a deeper understanding of model behavior, allowing users to fine-tune and enhance AI performance. This comprehensive platform unlocks the full potential of AI, facilitating innovation and improving efficiency in various fields by lowering the barriers to AI development. By removing complexities, it helps users focus on building impactful solutions faster.

Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

Resco Field Service+ empowers field service teams by transforming traditional service processes into streamlined digital workflows. Built to enhance operations in industries like utilities, telecommunications, manufacturing, and energy, Field Service+ combines offline functionality with advanced scheduling, routing, and data capture tools to keep teams productive in any environment. With seamless integration into Dynamics 365 and Salesforce, Resco Field Service+ enables real-time data access and updates from the field, reducing manual entry and eliminating paper-based records. Field technicians can use their mobile devices to capture photos, scan barcodes, complete checklists, and access service history—even offline, which is critical for remote or high-traffic areas. Features include drag-and-drop customization, allowing teams to create workflows, forms, and reports without coding. Its GPS and routing capabilities help technicians optimize their routes, and with real-time insights, supervisors can monitor job status and resource allocation on the go. Resco Field Service+ makes managing field operations efficient and reliable, helping organizations improve response times, reduce errors, and enhance customer satisfaction.

STORIS offers ERP software solutions tailored for the home furnishings and appliance industry. With over 35 years of experience, STORIS develops tools to support retailers' specific operational needs. Its ERP platform connects key business functions, including Point of Sale, Inventory Management, Logistics and Distribution, Buying Tools, Customer Service, Accounting, Financing, Reporting, Business Intelligence, and System Tools. STORIS NextGen, a cloud-based and mobile-first solution, streamlines transactions by reducing processing time from 35 minutes to 4-6 minutes. This enhances efficiency and improves customer interactions. STORIS helps retailers optimize operations and manage their businesses with integrated, industry-specific solutions.

FirstWave’s NMIS is a network management system that provides fault, performance, configuration management, performance graphs, and threshold alerts. Business rules allow for highly specific notification policies that can be used with multiple notification methods. FirstWave also enables partners, including some of the world’s largest telcos and managed service providers (MSPs), to protect their customers from cyber-attacks, while rapidly growing cybersecurity services revenues at scale. FirstWave provides a comprehensive end-to-end solution for network discovery, management, and cybersecurity for its partners globally.

PVcase Ground Mount is an AutoCAD-based software that allows you to design solar power plants at utility scale. It allows solar engineers to reduce project costs and increase reliability while improving solar plant performance. Realistic, terrain-based PV layouts can reduce project uncertainty and eliminate design errors. Great solar designs can be ruined by poor CAPEX. Get a clear breakdown of the project costs early. Optimize your design and assess potential near-shading issues. Streamline your electrical design by streamlining string mapping and device placement. You can easily download and share cable runs, piling lengths and other cost estimates with your team. PVsyst allows you to export your PV design in a custom format.

The Kantata Professional Services Cloud, formerly known as the Mavenlink Industry Cloud for Professional Services, is an incredibly powerful collection of operational management and resource optimization, business insight, integration, workflow automation functionality, and workflow optimization functionality that optimizes resources. It also enhances operational performance. This resource-first architecture allows services businesses to have the best team possible and monitor progress against budgets and timelines so that projects run smoothly, predictably and profitably. The Kantata Professional Services Cloud is purpose-built to help agencies and professional services organizations with 50 to 5000+ employees. Kantata is your business's heart. Kantata was designed to address the challenges you face in resource management every day. Kantata's resource optimization functionality leverages operations management science, advanced algorithms and analytics to solve previously unsolvable business problems.