GPU compute made simple

AiSilicon provides an innovative workflow on GPU hardware, priced hourly.

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Scalable GPU Compute

Run as many compute jobs as you need simultaneously on dedicated NVIDIA GPUs in a Tier 4 Datacenter. We can scale to meet your needs.

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Priced Hourly

No paying for idle resources here.
We only bill for the time your jobs are running, plus competitive prices for dataset storage.

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For Individuals & Teams

Our platform provides a powerful workflow and collaborative tools that enable teams to reign in costs and work together effectively.

Introducing

The AiSilicon Platform

We designed a workflow that provides a simple and flexible approach to provisioning and pricing.

And then we built a platform for it.

Create a project and get started

How does it work?

1

Create a project on AiSilicon

2

Push a branch to your new Git remote

3

Pull results after your job completes

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Zero Friction

Simply push your codebase and any data to the Git+LFS repository we provide and start running your project right away.

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GPU Containers

Every job runs in a Docker container with configurable dedicated GPUs, giving you the flexibility to run any workload.

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Cost Effective

Pushing a branch to your git repository creates a job automatically. Once your program exits, billing stops immediately.

Straightforward Pricing

We only charge these rates while your jobs are actively running.

RTX A4000

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    6144 CUDA cores, 192 Tensor cores, 16GB VRAM

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    4 dedicated Xeon CPU cores

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    30GB system memory

$0.34

per hour

RTX A6000

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    10,752 CUDA cores, 336 Tensor cores, 48GB VRAM

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    8 dedicated Xeon CPU cores

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    60GB system memory

$0.79

per hour

Modernize your GPU workflows

Scale your compute resources to meet your needs, without wasting money.