
LM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease.
Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process.
With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.
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If your cloud bill has become harder to predict than your revenue, OpenMetal is worth a look.
We provide hosted private cloud and dedicated bare metal infrastructure as a service. Our private cloud is built on OpenStack and Ceph, with fully managed hardware, and priced on a flat-rate model that doesn't punish you for growth. No per-resource metering, no egress surprises, no bill that requires a spreadsheet to decode.
Our private cloud platform gives organizations dedicated hardware and full OpenStack access without the overhead of building or maintaining their own infrastructure. Deploy a private cloud in under an hour, integrate with your existing tools, and hand the operational burden to us.
For teams that need raw compute power without virtualization overhead, our bare metal servers offer dedicated hardware with the same transparent pricing and fast deployment. Run standalone or connect directly to an OpenMetal private cloud for a flexible hybrid setup.
OpenMetal is a practical choice for organizations running compute-intensive or latency-sensitive workloads including blockchain validators, AI and machine learning pipelines, high-frequency applications, and regulated industries where data residency and compliance requirements rule out shared public cloud environments.
If you're managing infrastructure costs at scale, moving workloads off a hyperscaler, or simply need dedicated hardware that performs consistently, OpenMetal gives you a straightforward path to get there without building everything yourself.
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Code Metal
CodeMetal is a cutting-edge platform that harnesses the power of AI to facilitate code translation and deployment, allowing engineering teams to effortlessly convert high-level reference code into optimized solutions tailored for edge and embedded systems. Developers have the flexibility to work with well-known programming languages such as Python, MATLAB, or Julia, while the platform automatically generates low-level code that is customized for the specific runtime context, which can include embedded C/C++, Rust, CUDA, or FPGA programming languages. Its sophisticated workflow evaluates module interdependencies, identifies architectural alternatives, and creates a detailed transpilation and deployment plan that developers can choose to review or execute right away. By prioritizing verifiable AI, CodeMetal seamlessly combines generative techniques with rigorous formal verification to guarantee that the translated code is thoroughly tested, adheres to industry standards, and is prepared for production use, effectively tackling reliability challenges often encountered in safety-critical industries. This dedication to maintaining high quality and safety standards positions CodeMetal as an indispensable resource for developers operating in high-pressure settings. Consequently, the platform not only enhances productivity but also fosters innovation by providing tools that ensure both accuracy and efficiency throughout the coding process.
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CUDA
CUDA® is an advanced parallel computing platform and programming framework developed by NVIDIA that facilitates the execution of general computing tasks on graphics processing units (GPUs). By harnessing the power of CUDA, developers can greatly improve the performance of their applications by taking advantage of the robust capabilities offered by GPUs.
In GPU-accelerated applications, the CPU manages the sequential aspects of the workload, where it performs optimally on single-threaded tasks, while the more intensive compute tasks are executed in parallel across numerous GPU cores. When utilizing CUDA, programmers can write code in familiar programming languages, including C, C++, Fortran, Python, and MATLAB, allowing for the integration of parallelism through a straightforward set of specialized keywords.
The NVIDIA CUDA Toolkit provides developers with all necessary resources to build applications that leverage GPU acceleration. This all-encompassing toolkit includes GPU-accelerated libraries, a streamlined compiler, various development tools, and the CUDA runtime, simplifying the process of optimizing and deploying high-performance computing solutions. Furthermore, the toolkit's flexibility supports a diverse array of applications, from scientific research to graphics rendering, demonstrating its capability to adapt to various domains and challenges in computing. With the continual evolution of the toolkit, developers can expect ongoing enhancements to support even more innovative uses of GPU technology.
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