Seriously powerful NVIDIA and AMD compute, purpose-built for your most demanding AI projects, on dedicated machines optimized for advanced workloads.
AMD’s Instinct MI300X unleashes cutting-edge compute and memory technologies for best-in-class performance for AI model training, inference, and high-performance computing. Built to handle the most data-intensive AI and high-performance workloads, it ensures seamless data processing, reduces bottlenecks, and enables faster results.
Supermaven's AI code completion tool boosts coding speed and efficiency with high-quality suggestions, in-editor AI chat, and a large context window of up to 1 million tokens. Powered by their advanced LLM, Babble, it's 2.5x larger than their previous model.
Compare the key specs of Bare Metal GPUs to understand how each can power your AI applications
What are Bare Metal GPUs?
GPU Memory bandwidth
Monitoring GPU utilization for Deep Learning
Multi-GPU on raw PyTorch with Hugging Face's Accelerate library
How to maximize GPU utilization by finding the right batch size
The Hidden Bottleneck: How GPU Memory Hierarchy Affects Your Computing Experience
A Bare Metal GPU is a physical server equipped with powerful GPUs, like the NVIDIA H100. This gives you full control over the hardware so you can install your preferred operating system. Bare Metal GPUs are isolated from other servers, providing excellent security. The server can be used for AI/ML tasks like model training, fine-tuning, and inference.
Bare Metal works by providing a physical, dedicated server where you can install and run your applications. This setup is particularly useful if you need stable, high-performance infrastructure for demanding workloads like AI/ML model training or custom orchestration.
Bare Metal supports a wide range of use-cases, including: