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Bare Metal NVIDIA

Full-speed AI and HPC with NVIDIA Bare metal GPU

Bare Metal GPU NVIDIA

Overview of NVIDIA Bare Metal GPU servers

Leverage the power of artificial intelligence and high-performance computing with custom-built NVIDIA H200 SXM GPU Bare Metal Servers, a premium offering on the next-gen AI cloud. Offering up to 34 TFLOPS (FP64), 67 TFLOPS (FP32), 1,979 TFLOPS (FP16), and 3,958 TFLOPS (FP8) with 141 GB of HBM3e memory, these servers are optimised for high-throughput LLM training across 8-GPU NVSwitch configurations.

When training large models or moving petabytes of data, every bit of latency adds up. Bare Metal Servers remove the hypervisor layer entirely, so there's no overhead eating into your performance. You get direct access to the hardware, which means your GPUs are running at full capacity, not sharing resources with other workloads. For compute-heavy applications, that difference shows up fast in your training times and query speeds.

Pricing for dedicated Bare Metal NVIDIA

To know more about the SKUs and pricing click below.

Core features of Bare Metal NVIDIA GPU

Top-Tier NVIDIA H200 SXM GPU Architecture
Deliver breakthrough AI performance with NVIDIA H200 SXM GPUs — purpose-built to handle massive models, deep neural networks, and high-intensity workloads without slowdowns.
Baremetal Server Access for Direct Hardware Utilisation
Run workloads directly on physical hardware to eliminate virtualisation overhead to achieve the lowest latency and fastest compute speeds for real-time AI, ML, and HPC tasks.
Comprehensive Monitoring and Telemetry
Use NVIDIA DCGM, Prometheus, and Grafana to monitor GPU health, track performance in real-time, and prevent issues before they impact uptime.
Real Time Observability
Gain real-time visibility into GPU performance with advanced monitoring of key metrics on GPU bare metals to optimise efficiency, seamless troubleshooting, and proactive scaling for your workloads.
Flexible On-Demand and Reserved Instances
Flexibly add capacity on-demand for unpredictable surges or reserved instances for long-term savings — scale capacity as your needs evolve.
Flexible Usage Plans
Pick from pay-as-you-go, rental, or reserved options to match your workload and budget — all with enterprise-grade performance
Large High-Bandwidth Memory (HBM3)
Process massive datasheets with ultra-fast HBM3 memory per GPU without hitting performance limits.

What you get with Bare Metal GPU servers of NVIDIA

FAQ's about Bare Metal GPU NVIDIA?

The H200 NVL is designed for large-scale inference workloads and supports NVLink for multi-GPU scaling. It typically ships in dual-GPU configurations. The H200 SXM, on the other hand, is optimized for maximum throughput in high-density servers with SXM5 sockets, offering superior memory bandwidth and power efficiency for training and inference at scale.
H200 SXM is ideal for training large foundation models, fine-tuning LLMs, multi-modal AI, scientific computing, and HPC simulations. Its raw compute power and high-bandwidth NVLink interconnects make it especially valuable for model/data parallelism and memory-bound applications.
  • 141 GB of HBM3e memory per GPU
  • Up to 4.8 TB/s memory bandwidth via NVLink 4.0 interconnects
  • Designed for tight coupling of 8 GPUs per server for massive-scale compute workloads.

Resources

Deploy GPU workloads on dedicated NVIDIA bare-metal infrastructure.
Video
Deploy GPU workloads on dedicated NVIDIA bare-metal infrastructure.
Dedicated NVIDIA bare-metal servers for maximum performance and control.
Brochure
Dedicated NVIDIA bare-metal servers for maximum performance and control.

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