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Rent Bare Metal GPU Servers

Complete control over your environment. Lower costs with longer commitments. Reserve servers for months or years.
Get Started with Bare Metal
Senior ML engineers and top executives from the world's leading companies slash millions in costs every year by choosing RunPod for their critical AI workloads.
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Direct Access to Dedicated GPU Servers

RunPod Bare Metal servers let you do things that virtualized or containerized infrastructure can't. You control everything from drivers to the OS.
Complete control of your software stack, drivers, and configurations
Reserve servers for months or years - pay less than on-demand
No resource sharing - all GPU performance goes to your workloads
Bare Metal server hardware composition

Next Gen Hardware with Enterprise Grade Reliability

We offer a range of NVIDIA GPUs with secure, enterprise-grade networking and high-performance NVMe storage.
Available GPU Types
NVIDIA H100 80GB
NVIDIA H200
NVIDIA B200
NVIDIA A100 80GB
NVIDIA L40S
Additional GPU models coming soon as they become available
Data Center Locations
North America & Europe
Asia & Pacific
South America
Storage Options
High-speed NVMe SSD storage
Up to 2TB per server
Multi-TB expansion options
Network & Security
Up to 3200 Gbps networking
Secure data center facilities
Optional private networking

Built for AI Workloads That Demand Performance

When your AI workloads need raw performance, Bare Metal delivers hardware access with no virtualization layers in between.
Large-scale AI Training
Teams training large language models or vision transformers that need weeks of stable, high-throughput compute time. Eliminate unpredictable slowdowns during critical training runs.
Performance-sensitive AI Inference
Low-latency applications where every millisecond counts. Perfect for real-time recommendation engines, interactive AI applications, or high-frequency trading models.
Specialized Workloads
Projects needing custom drivers, kernel modules, or OS-level optimizations. Tune every aspect of your environment for maximum performance.
Cost-effective Long-term Infrastructure
Organizations moving from on-premises to cloud that want similar performance without capital expenditure. Dramatically reduce cloud GPU costs with long-term commitments.

How Bare Metal Compares to Other Options

See how Bare Metal compares to virtualized cloud GPUs and on-premises solutions.
FeatureRunPod Bare MetalTraditional CloudOn-Premises
Full environment control
Zero virtualization overhead
Latest GPU models available
Limited
Procurement delays
Flexible commitment options
Fixed contracts
Capital expenditure
Scaling without infrastructure management
Complex
Cost efficiency for long-term workloads
After amortization

Frequently Asked Questions

Common questions about RunPod Bare Metal servers
Bare Metal provides dedicated physical GPU servers with zero virtualization. Unlike our standard cloud GPU instances which run on Docker containers, Bare Metal gives you direct hardware access to the entire server with no layers between your code and the hardware.
Bare Metal eliminates containerization overhead, removes 'noisy neighbors' causing unpredictable performance, and delivers consistent throughput for long-running workloads. You get complete control over your environment including drivers, libraries, and OS customizations with cost savings of up to 74% compared to major cloud providers.
We offer NVIDIA H100s (80GB), H200s, B200s, A100s, and L40S, with multiple configuration options including 8× H100 configurations with NVLink/NVSwitch. We plan to expand to other high-end NVIDIA models as they become available.
We offer 3-month, 6-month, 12-month, and 24-month terms with increasing discounts for longer commitments. Longer commitments provide greater discounts, with up to 74% savings compared to major cloud providers.
Initial setup is completed within 24-48 hours after reservation confirmation. Note that initial availability is limited to specific data center regions, and custom hardware configurations may have longer provisioning times.
Get started with RunPod 
today.
We handle millions of gpu requests a day. Scale your machine learning workloads while keeping costs low with RunPod.
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