OpenMetal delivers hosted private cloud and bare metal infrastructure for organizations that have outgrown public cloud pricing or need more control than a hyperscaler will give them.
Built on OpenStack and Ceph, our platform gives you a fully managed private cloud without the cost and complexity of building your own from the ground up. You get dedicated hardware, root-level access, and a transparent fixed-cost model so your infrastructure bill stays predictable as your workloads grow.
Need bare metal without the private cloud overhead? Our dedicated bare metal servers deploy in minutes and can run standalone or integrate directly with an OpenMetal private cloud. Same fixed pricing, same dedicated hardware, no shared resources.
OpenMetal is built for engineering teams, DevOps, and infrastructure leads who are done deciphering complex cloud bills and being financially punished for their growth.
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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.
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Code Metal
CodeMetal is an advanced platform that leverages AI for code translation and deployment, enabling engineering teams to seamlessly transform high-level reference code into optimized implementations suited for edge and embedded systems. Developers can utilize familiar programming languages like Python, MATLAB, or Julia, and the platform automatically produces low-level code adapted to the specific runtime environment, which may include embedded C/C++, Rust, CUDA, or FPGA languages. Its intelligent workflow assesses module dependencies, identifies architectural equivalents, and generates a comprehensive transpilation and deployment strategy that developers can either review or implement immediately. By focusing on verifiable AI, CodeMetal integrates generative methods with formal verification processes to ensure the translated code is rigorously tested, compliant with standards, and ready for production use, thereby addressing reliability issues often faced in safety-critical sectors. This commitment to quality and safety makes CodeMetal an invaluable tool for developers working in demanding environments.
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CUDA
CUDA® is a powerful parallel computing platform and programming framework created by NVIDIA, designed for executing general computing tasks on graphics processing units (GPUs). By utilizing CUDA, developers can significantly enhance the performance of their computing applications by leveraging the immense capabilities of GPUs.
In applications that are GPU-accelerated, the sequential components of the workload are handled by the CPU, which excels in single-threaded tasks, while the more compute-heavy segments are processed simultaneously across thousands of GPU cores. When working with CUDA, programmers can use familiar languages such as C, C++, Fortran, Python, and MATLAB, incorporating parallelism through a concise set of specialized keywords.
NVIDIA’s CUDA Toolkit equips developers with all the essential tools needed to create GPU-accelerated applications. This comprehensive toolkit encompasses GPU-accelerated libraries, an efficient compiler, various development tools, and the CUDA runtime, making it easier to optimize and deploy high-performance computing solutions. Additionally, the versatility of the toolkit allows for a wide range of applications, from scientific computing to graphics rendering, showcasing its adaptability in diverse fields.
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