Thunder Compute: Access cheap on-demand GPUs with our virtual GPU-over-TCP technology

With Thunder Compute, run your current workload on cloud GPUs with one line of code. You can develop without paying for a GPU and then instantly connect your environment to as many GPUs as you need to move to production.

Watch it in action

https://www.youtube.com/watch?v=qsOBFQZtsFM

Hi everyone, we’re Carl and Brian, aka the team behind Thunder Compute.

Before Thunder Compute, Carl was a Management Consultant at Bain & Company, and Brian was a Quantitative Developer at Citadel Securities. Carl and Brian met at Georgia Tech and have been close friends for over 6 years.

Problem

Developers spend hours configuring cloud platforms to meet the ever-changing needs of their projects. Today’s cloud platforms trade-off between:

• Scalability
• Cost
• Simplicity

Solution

Thunder Compute is a flexible cloud environment that adapts to the needs of any project with a single command, for example:

Using your local filesystem?

$ tnr start --sync

Scaling to 50 A100 GPUs?

$ tnr device A100 -n 50

Running a Jupyter Notebook?

$ notebook

Developing without a GPU?

$ tnr device cpu

All of this is available at industry-leading prices and can be set up in minutes - just pip install tnr.

Our innovation

Think VMware for GPUs: Thunder Compute tricks your computer into thinking it’s attached to a GPU, which actually sits across a network. This means that CPU-only machines can behave exactly as if they have dedicated GPUs, while the physical GPUs are actually shared among several machines.

Our offer

To help us test our systems at scale, we are giving free open beta access to NVIDIA T4 instances. Try Thunder Compute today at thundercompute.com. all we ask in return is that you please report any bugs 🙂

If you have questions, need technical support, or want to rant about the current state of GPUs, join our discord at https://discord.gg/nwuETS9jJK or contact us at founders@thundercompute.com.