GradientAI Bare Metal GPUs
Seriously powerful NVIDIA and AMD compute, purpose-built for your most demanding AI projects, on dedicated machines optimized for advanced workloads.
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GradientAI Bare Metal GPUs
Compare the key specs of Bare Metal GPUs to understand how each can power your AI applications
High-Performance Bare Metal GPUs for AI/ML Workloads
Power your projects with the flexibility of Bare Metal GPUs
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Bare Metal GPU Resources
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
Frequently asked questions
What is a Bare Metal GPU?
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.
What are the advantages of Bare Metal GPUs?
- Full control: Bare Metal provides dedicated, single-tenant hardware, offering full control over the operating system, software, and configurations.
- High performance: It delivers peak GPU performance, ideal for high-scale AI/ML model training, complex computations, and real-time inference.
- Customizability: You can deeply customize the hardware and software environment, enabling tailored setups like Kubernetes clusters or other custom orchestration needs.
- Resource isolation: It offers complete isolation from other users, eliminating the risks of 'noisy neighbors' and helping to ensure security and privacy.
- Scalability: Bare Metal can be configured for single-node or multi-node setups, allowing for large-scale distributed training and high-performance workloads.
How does Bare Metal work?
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.
What advanced use-cases does Bare Metal support?
Bare Metal supports a wide range of use-cases, including:
- AI/ML workloads: Model training, fine-tuning, and inference, especially for large-scale data processing.
- Custom orchestrations: Technologies like Kubernetes for containerized environments or other custom setups for complex applications.
- High-performance computing: Applications that require dedicated resources, such as simulations, scientific computations, and real-time data processing.