Supported configurations

Poolside supports model inference deployments in GPU-backed Kubernetes environments. Use this page to review supported environments and size the infrastructure that serves Poolside models.

​

Supported environments

​

Inference requirements

Poolside models have different minimum requirements. Use this table to size your inference nodes. For concurrent-agent capacity and developer-seat estimates, contact your Poolside account team. For local development on your own hardware, see How to run a Poolside model locally. For cloud deployments, storage requirements depend on whether S3-compatible storage is colocated on the inference node. For on-premises deployments, see Storage requirements for guidance on sizing and configuring storage.

​

GPU memory reference

Poolside model inference targets the following NVIDIA GPU families: RTX 6000 Blackwell, H100, and H200. The memory per GPU is listed here for reference against the per-model minimum GPU memory table above: Which GPUs suit a given model is model-dependent. The per-model minimum GPU memory table is a floor, not a GPU selector: context length, batch size, and the number of GPUs all affect what actually serves a model. Confirm the right combination of model, GPU type, and GPU count for your workload with your Poolside account team.

​

Support and compatibility

For questions about integration with specific enterprise tooling or deployment workflows, contact Poolside.