Meet TensorDock

The rising RunPod alternative offering
superior security, flexibility, and economics.

Compare GPU Models Deploy a Cloud GPU

Why AI builders are choosing TensorDock

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VM-based

For KVM isolation, security, and full OS functionality. Plus, cloud gaming.

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A la carte billing

Choose CPU, RAM, and storage separately to customize for only what you need.

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Same reliability, lower price

99.99% uptime standard. Save up to 30% with TensorDock over Runpod.

Awesome! But a few questions...

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How's your pricing so low?

At TensorDock, we focus on being a low-margin high-volume business. Our fees are lower than RunPod, and all profits are reinvested into developing our platform.

Focus on building your product, not stressing over the infrastructure behind it. Build now

We have plans to grow, fast.
Can TensorDock handle that?

We always have additional stock ready to serve our customers at any time. Just ask!

And with 99.99% uptime, enterprise-grade security, and 24/7 support, we're ready to scale with you. Scale with us

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Isn't switching hard?

It doesn't have to be! Reach out to our team at sales@tensordock.com, and we can help you slash one of your biggest costs. Switch now

How does TensorDock compare to RunPod?

On-Demand GPU Pricing

RunPod GPU Pod RunPod Hourly Price Equivalent TensorDock Price Savings
8x H100 SXM (Secure Cloud) $31.92 $29.31 8%
4x RTX 6000 Ada (Secure Cloud) $4.12 $3.68 11%
4x A6000 (Secure Cloud) $3.04 $1.72 43%
4x A5000 (Secure Cloud) $1.72 $1.08 37%
1x A4000 (Community Cloud) $0.19 $0.16 16%
1x 4090 (Community Cloud) $0.54 $0.38 30%

Platform Functionality

Features TensorDock RunPod
Deployment method Virtual machine Docker container
Pricing Set by hosts Set by RunPod
Billing Pay as you go, a la carte Pay as you go, per server portion
Available GPU types 44 35
Minimum commitment for discount 1 month 1 month
Spot instances Bidding Bidding
Uptime standards 99.99% 99.99%
Scheduled maintenance standards 2 weeks 1 week
Network storage available
No quotas
No ingress or egress fees
Predictable billing

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.

Deploy Your GPU Server Now
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Docker vs. Virtual Machines

RunPod deploys Docker containers, which are lightweight compared to VMs. However, containers can run into compatibility issues, especially since users can't control their own drivers and OS.

TensorDock provisions virtual machines through its in-house hypervisor. Get the hyperscaler experience on TensorDock: legacy application support, stronger isolation, and easier debugging.

Check out the difference

A la carte Billing

While RunPod sells their servers in templates with fixed pricing and resources, TensorDock allows you to customize your GPU, RAM, and vCPUs so that you pay only for what you need.

If your workload doesn't demand much CPU, RAM, or storage, then you can save with TensorDock. We recoup costs by renting out excess resources as CPU-only instances.

Customize now

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User Experience

Users often report that RunPod support can be difficult to reach and that response times have been increasing. Additionally, RunPod imposes spending quotas when starting out.

TensorDock can be reached through any channel (live chat, email, Discord) and has a same-day response time standard. There are zero spending limits, and customers can ask for a balance refund at any time (minus a 5% fee).

See for yourself

The world's most use us.

airgpu uses TensorDock's API to deploy Windows virtual machines for cloud gamers. TensorDock's abundant GPU stock allows airgpu to scale during weekend peaks without stressing over compute availability.

airgpu is a popular, renowned cloud gaming service known by gamers worldwide

ELBO uses TensorDock's reliable and secure GPU cloud to generate AI art. TensorDock's highly-performant servers run their workloads 4x faster than the big clouds for the same price.

ELBO.ai creates managed AI services like art generators and logging and has been featured in The Spectator.

Researcher Skyler Liang from Florida State University uses TensorDock's A40s and A6000s to work with GAN networks. TensorDock's low pricing enables FSU researchers to do more with their limited university compute budgets.

Florida State University researchers receive credits for TensorDock servers.

Creavite uses TensorDock's Windows GPU servers with Adobe software to render logo animations. TensorDock's CPU-only VMs allow them to do everything in one cloud.

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We're democratizing access
to high-end cloud infrastructure.

We connect customers to the best available compute. Cutting-edge hardware in Tier 3/4 Data Centers, for maximum security and reliability. Converted mining rigs, for maximum price-to-performance. We've got both, for whatever suits your needs best.

Our marketplace approach guarantees the best deal in the industry. Get the availability and location distribution of a hyperscaler, without the quotas or nonsense.

100+ Locations

Available

0+ GPUs

In stock

0+ GPUs

Through partners

Get Started
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