For KVM isolation, security, and full OS functionality. Plus, cloud gaming.
Choose CPU, RAM, and storage separately to customize for only what you need.
99.99% uptime standard. Save up to 30% with TensorDock over Runpod.
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
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
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% |
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Features | TensorDock | RunPod |
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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 |
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No quotas |
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No ingress or egress fees |
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Predictable billing |
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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.
Deploy Your GPU Server Now
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.
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.
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).
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.
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.
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.
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.
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.
Available
In stock
Through partners