Thunder Compute

Why choose thunder compute

Virtualized GPUs are better

Virtual GPUs are easy to use and 5x more efficient

Simple Setup

Start in under 60 seconds with our Python package

Low Cost

Only pay when GPUs are active, measured down to the second

Instant Scaling

Scale your usage up or down to any GPU with one command

Prototype faster

Keep your whole workflow in one place to stay focused on your work

On demand

Access the GPUs you need without reservations or quotas

Industry Partners

Supported by the world's top tech leaders

Unmatched value

Make developers happier and cut costs

Developers can access GPUs they need instantly without asking IT.
Behind the scenes, GPU sharing serves 5x more users with your existing GPUs.

For Developers

Run your local code seamlessly on the cloud. With Thunder Compute, one line of code is all it takes to access GPUs.

For Enterprises

Save cost and time by eliminating manual infrastructure management. With Thunder Compute your developers move faster with direct access the resources they need, while you save by paying industry-leading rates for usage.

For Developers

One command can run code on GPUs, switch between GPUs, or disconnect entirely from GPUs. Never deal with drivers or config again.

For Enterprises

GPU sharing lets your teams do the same work with 5x fewer GPUs. IT teams and developers can rest easy without spending time setting up AI infrastructure.

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Our technology

How network-attached GPUs work

CPU-only cloud instances share a pool of GPUs over a network
and instantly disconnect when idle

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TESTIMONIALS

Why data scientists choose Thunder Compute

As a Statistician I don't know much about cloud infrastructure and have spent more time than I care to admit trying to start instances on AWS. Thunder Compute is simple to set up. I can run my models on whichever GPU makes sense while staying focused on my work

Peter Grant

Physics Researcher, KronosAI

Kevin Xiao

AI Engineer, Startup

I spend most of my time prototyping. With Thunder Compute I can use “CPU” mode to develop without paying for a GPU, then run the same scripts on an A100. This has saved so much time configuring new instances.

Johan Armstrong

Data Science Consultant

I run several instances for different clients. Leaving GPU instances running is expensive, so I typically use CPUs, even when a GPU would be better. Thunder Compute lets me add GPUs to these instances without paying 24/7 for a GPU