Runpod vs. VOLTAGE PARK | AI CLOUD Comparison

Runpod vs Voltage Park

Which is built for scaling AI?

Explore how Voltage Park and RunPod compare across infrastructure, deployment experience, pricing transparency, and enterprise capabilities.

Voltage Park is trusted by infrastructure teams at leading AI labs and fast-scaling startups like these:
Infrastructure
Deployment & Access
Cost & Flexibility
Enterprise Support

Voltage Park

Infrastructure
  • Owns operates 24,000+ NVIDIA H100s (80GB SXM5)
  • 3.2 Tb/s InfiniBand interconnect
  • Bare-metal deployment, no virtualization
  • Cluster scale from tens to thousands of GPUs
  • Data center locations across the U.S.
Deployment & Access
  • Bare-metal access for full performance
  • Deploy clusters in 10-15 minutes with pre-configured environments
  • Slurm and Kubernetes support
  • Compatible with PyTorch, TensorFlow, JAX, DeepSpeed
Cost & Flexibility
  • On-demand pricing (starts at $1.99/hr)
  • Discounted longer-term commitments
  • Options for 3-month, 6-month, or annual terms
  • No bidding wars for capacity
  • All-inclusive billing: No egress or hidden usage fees
Enterprise Support
  • SLA-backed dedicated cluster access
  • 24/7/365 support across all deployments
  • U.S.-based infrastructure team with experience supporting AI labs

Runpod

Infrastructure
  • Offers NVIDIA H100, A100, A5000, A6000, 4090, and more
  • Docker container-based deployment
  • GPUs served via RunPod-hosted infrastructure or third-party nodes
  • Community and Secure Cloud options with varying levels of isolation
Deployment & Access
  • Pod-based deployment via Docker containers
  • Secure Cloud for added isolation, Community Cloud for cost savings
  • Deploy via RunPod dashboard or CLI
  • OS and driver access limited by containerization model
Cost & Flexibility
  • Variable pricing by GPU and cloud type
  • Spot instance discounts through community-supplied nodes
  • Pay-as-you-go or reserved models
  • Usage-based billing at per-server or per-second granularity
Enterprise Support
  • Support varies by plan
  • Community-reported concerns about delayed response times
  • Spending limits on new accounts

Experience the Voltage Park difference today

Talk To An Expert

On-Demand, No Nonsense

Our pay-as-you-go model provides precise and predictable billing, accurate down to the microsecond.

Unbeatable Pricing

Voltage Park offers NVIDIA H100s at just $1.99 per hour, which is lower than Lambda's effective rate of ~$2.69 per hour.

Customer Service

24/7/365 support that rises with the sun and stays with you through every step of the way.

Our end-to-end solution minimizes time to market with team accessibility, standardization, and automation for the AI development cycle.

For Infrastructure: 
Ease of Use, No Compromises
Pre-configured, high-performance GPU environments lets teams launch in hours, not days.
For Accessibility:
Unrestricted Elite Compute Access
Immediate access to world-class AI compute gives everyone the same tools as the biggest players in the field.
For Performance & Cost Efficiency:
Built for Experimentation
Ultra-fast connectivity and transparent pricing for quick iteration without runaway costs.
For Transformational Value:
Improved Time-to-Market
Build upon a foundational layer  to quickly use AI to accelerate their most important outcomes.
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How does Voltage Park compare to CoreWeave?

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GPU Configuration
8x H100 SXM5 80 GB
$38.08
$29.31
23%
8x A100 SXM4 80 GB
$17.68
$15.20
14%
8x A100 PCIe 80 GB
$17.68
$12.00
32%
8x V100 SXM2 16 GB
$6.40
$2.10
67%
4x RTX A6000 48 GB
$5.12
$1.78
65%
4x RTX A5000 24 GB
$6.40
$2.10
67%
4x RTX A4000 16 GB
$2.44
$0.42
83%
Last Updated: July 6, 2024. TensorDock does not make any guarantees that information on this page is accurate. Confirm this is up to date with your own research.
Resources
Per vCPU (Thread)
$0.01
From $0.003
Per GB of RAM
$0.005
From $0.002
Last Updated: July 6, 2024. TensorDock does not make any guarantees that information on this page is accurate. Confirm this is up to date with your own research.
Features
Billing
Pay as you go
Postpaid monthly
Available GPU types
44
13
Locations
100+ globally
3 (publicly)
Minimum commitment for discount
1 month
1 month
Per GB of RAM
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Per GB of RAM
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Per GB of RAM
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Per GB of RAM
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Last Updated: July 6, 2024. TensorDock does not make any guarantees that information on this page is accurate. Confirm this is up to date with your own research.

Offerings

We own the right GPUs for your workload.

Deploy Today
Contact sales for long-term contract
Contact sales for long-term contract
Contact sales for long-term contract
Contact sales for long-term contract
01
NVIDIA HGX H100
02
4× faster performance
03
Cloud DGX GB200
04
NVIDIA HGX B300
05
NVIDIA HGX GB300