Shadeform primary logo
icon-topologyModel Inference

Reduce inference costs by up to 90%

Get the best prices on GPU instances and scale confidently across over 100 regions worldwide.

Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
instanceCardSmall

Access GPUs from vetted providers

Compare offerings across 30+ clouds and deploy at the best prices from one interface.

Powering the fastest scaling inference platforms

"Shadeform has been a great partner in helping us tap into top tier GPU providers. They've consistently helped us source GPUs when demand spikes, and their marketplace makes it easy to scale up and down when needed."
Batuhan Taskaya
Head of Engineering, Fal

Explore on-demand resources

See what top clouds are charging for on-demand GPUs and get the best prices for your workloads across 150+ regions.

Deploy on-demand clusters of up to 64 GPUS

Shadeform offers on-demand clusters for a wide range of GPU types in configurations of up to 64 interconnected GPUs.

Want better pricing?

Save on compute with a reserved contract. Depending on the term length, we can significantly reduce your hourly cost.

Your requirements

Configure your compute specifications.

0/2000

Page 1 of 3

Urgent request?

Speak with our team for an expedited quote process.

Questions about our inference solutions?

We offer a broad range of GPU resources for inference at any scale. GPUs can be provisioned on-demand in instances ranging from 1-64 interconnected GPUs. If more GPUs are required for your application, GPU resources can be reserved in clusters of unlimited size.
Shadeform supports over 50 different regions across North America, Europe, APAC and Australia.
No. There are no quota restrictions on the Shadeform platform. Instances may become unavailable as total capacity is booked, but additional capacity can be requested at any time.
We provide Kubernetes services at an additional cost if they are required.

Manage 30+ GPU clouds in one platform