No quotas, hidden fees, or price gouging. We mean it.
Mid-range enterprise and consumer GPUs available, to fit all budgets and workloads.
Rent GPUs and CPU servers for up to 80% less than Google Cloud.
When Google Cloud rents out their GPUs, they target a return on investment
in just as 3-6 months. Hosts on TensorDock aim
to make their money back within a more reasonable 2-3 years.
Focus on building your product, not stressing over the infrastructure behind it.
Build now
> $
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
| Google Cloud Configuration | Google Cloud Hourly Price | Equivalent TensorDock Price | Savings |
|---|---|---|---|
| a3-highgpu-8g | $88.49 | $29.31 | 67% |
| a2-ultragpu-8g | $49.98 | $17.60 | 35% |
| 8x V100 SXM2 16 GB | $19.84 | $3.11 | 84% |
| Features | TensorDock | Google Cloud |
|---|---|---|
| Billing | Pay as you go | Postpaid monthly |
| Available GPU types | 44 | 7 |
| Minimum commitment for discount | 1 month | 1 year |
| No quotas |
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| No hidden fees |
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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
Google Cloud has an unusually small selection of GPUs, even compared to AWS and Azure, only offering
the H100, A100, V100, P100, L4, T4, and P4. Overall, there's a gap for middle tier cards.
However, TensorDock has modern mid-range enterprise GPUs such as the L40, RTX A6000, and RTX A4000 that fit
a wider range of budgets and workloads. Based on the most recent architecture, these cards have much faster
memory bandwidth and support for the latest versions of CUDA. Additionally, TensorDock
has consumer GPUs starting at just $0.12/hr for up to 5x better inference value.
While Google Cloud 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. We speak in terms of hardware:
H100s, not a3-megagpu-8gs.
Google Cloud charges separately for customer support, and it's typically challenging to get issues resolved.
At TensorDock, our support engineers are ready to address your infrastructure
issues 24/7, already included in your GPU rental.
Besides that, Google Cloud often imposes quotas on high-end GPUs due to low availability. TensorDock never has
any quotas, so you can create an account and deploy as many servers as you need within five minutes.
Google Cloud's enterprise features can be unnecessarily complicated for startups,
and there are hidden fees for egress, load balancing, and snapshots.
TensorDock has absolutely no fees beyond the server price. Our Organizations
feature makes it easy to invite your team members and start building on top of
our infrastructure, today.
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.
Our mission is to enable builders to develop groundbreaking innovations easier at industry-leading prices, no matter who they are.
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