How to Reserve a Bare Metal Server?
Go to the Baremetal Page from the left menu
You will be able to check all the available Bare Metal server configurations along with pricing & details such as CPU, Memory, Boot Stoage, Main Storage & Network
Select your preferred Baremetal Server
This will open a dialog box which shows you a form that needs to be filled in to send in a request for the server
Select your Commitment Period
Normally Bare Metal Servers are available for a tenure starting at 1 Year. If you want a custom tenure, you can mention that in the Notes part
Enter the details required
This is the place to enter your email (same as the email which was used for logging in), name & phone number
If you want the server for a custom timeframe, or anything that will help us give you the best price, Notes is where you put those thoughts
Key Benefits
Full Hardware Access
- No virtualization layer: direct access to CPU, GPU, and memory resources.
- Better performance and lower latency compared to VMs.
Dedicated Resources
- 100% of the server’s GPUs, CPUs, RAM, and disks are reserved for your workloads.
- Eliminates “noisy neighbor” problems from shared cloud environments.
Enterprise-Grade Performance
- Optimized for training large language models (LLMs), high-throughput inference, and large-scale distributed training.
- Supports multi-GPU and NVLink/NVSwitch interconnects for advanced workloads.
Security & Compliance
- Single-tenant isolation ensures data privacy and compliance for enterprise, healthcare, and finance workloads.
- Option for on-premises or hybrid deployment.
Flexibility & Control
- Choose from multiple configurations (GPU types, memory, storage).
- Install custom drivers, frameworks, or OS images as needed.
When to Choose Baremetal
Baremetal servers are recommended when you need:- Large-Scale Training: Multi-billion parameter models requiring multiple GPUs.
- High-Performance Inference: Large-scale production serving with minimal latency.
- Long-Running Jobs: Persistent workloads that run for days/weeks without interruption.
- Custom Environments: Full control over OS, drivers, and frameworks.
- Regulatory Compliance: Environments where data must remain fully isolated.
Available Baremetal Servers
Below are the current enterprise-grade baremetal GPU servers available for reservation.Each server provides dedicated, single-tenant access with 8 × NVIDIA GPUs, high-core CPUs, ECC memory, NVMe storage, and 10GbE networking.
NVIDIA H200 141GB 8-GPU SXM Server
- Price: $210,240 / year
- GPU Configuration: 8 × NVIDIA H200 HGX 141GB SXM GPU
- CPU: 2 × 48 cores, 350W, 2.3GHz
- Memory: 32 × 64GB ECC Registered DDR5-5600
- Boot Storage: 2 × 960GB NVMe M.2 SSD
- Main Storage: 8 × 3.8TB NVMe 2.5” SSD
- Network: 1 × 2-port 10GbE NIC
NVIDIA A100 80GB 8-GPU SXM Server
- Price: $89,500 / year
- GPU Configuration: 8 × NVIDIA A100 80GB HGX SXM GPU
- CPU: 2 × 32 cores, 2.0GHz
- Memory: 16 × 64GB ECC Registered DDR4-3200
- Boot Storage: 2 × 960GB NVMe M.2 SSD
- Main Storage: 2 × 1.9TB NVMe 2.5” SSD
- Network: 1 × 2-port 10GbE NIC
NVIDIA H100 80GB 8-GPU SXM Server
- Price: $133,414.80 / year
- GPU Configuration: 8 × NVIDIA H100 80GB HGX SXM GPU
- CPU: 2 × 52 cores, 2.0GHz
- Memory: 16 × 64GB ECC Registered DDR5-5600
- Boot Storage: 2 × 480GB NVMe M.2 SSD
- Main Storage: 6 × 3.84TB NVMe 2.5” SSD
- Network: 1 × 2-port 10GbE NIC
NVIDIA B200 180GB 8-GPU SXM Server
- Price: $297,840 / year
- GPU Configuration: 8 × NVIDIA B200 180GB HGX SXM GPU
- CPU: 2 × 48 cores, 2.3GHz
- Memory: 32 × 96GB ECC Registered DDR4-5600
- Boot Storage: 2 × 960GB NVMe M.2 SSD
- Main Storage: 4 × 7.68TB NVMe 2.5” SSD
- Network: 1 × 2-port 10GbE NIC
- High-Core CPUs (Intel/AMD EPYC)
- Large RAM options (up to 2 TB depending on config)
- NVMe SSDs / High-speed storage
- Optional networking upgrades (100 Gbps+ InfiniBand / Ethernet for distributed workloads)
Billing
- Hourly or Monthly Plans available depending on your use case.
- Storage billed separately (root disk + attached volumes).
- Pause/Stop not available: Baremetal servers are always billed while provisioned.
Use baremetal for long-running or mission-critical jobs. Keep root disk minimal and store large datasets in external storage. Use job schedulers (Slurm, Kubernetes) for multi-GPU workloads. Enable monitoring via
nvidia-smi or platform dashboards. Regularly rotate SSH/API credentials for security.