Expanding beyond GPUs to CPUs
Rent CPU instances across clouds from the same platform, API and bill you already use for GPUs.
CPUs for the rest of your AI stack
Compare CPU pricing across clouds
See real-time CPU pricing across providers, from small instances to large multi-core machines, then deploy the best option from one console.
CPUs and GPUs, working together
Most AI workloads need both. Run your environments, data pipelines and services on CPU and your training and inference on GPU, from one platform.
One platform for your whole stack
Run CPU and GPU instances side by side in the same projects, with one API and one centralized bill.
Questions about CPUs?
Our CPU instances come in three flavors: compute-optimized, memory-optimized, and general purpose. You can browse the full list of available CPU instances in the Shadeform platform.
Anything that runs alongside your models. Teams use CPUs for reinforcement learning environments and rollout workers, build and CI pipelines, data processing, and hosting APIs, web apps and databases next to their inference endpoints.
No. You pay the provider's listed price, the same way you do for GPUs. Compare real-time CPU pricing across clouds in the console and pick the best option for each workload.
The same way you launch GPUs. Filter by CPU in the console, choose an instance and deploy. You can also use the Shadeform API, CLI or MCP Server.
