> ## Documentation Index
> Fetch the complete documentation index at: https://docs-staging.poolside.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Supported configurations

> Review supported environments and minimum requirements for Poolside model inference.

## Overview

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.

<Warning>
  Poolside support covers the environments and minimum requirements documented on this page. For other Kubernetes environments, GPU configurations, storage backends, or security requirements, contact your Poolside account team to discuss support options.
</Warning>

## Supported environments

| Deployment                                                                  | Description                                                                                                    |
| --------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
| [Amazon EKS 1.29+](/deployment/cloud/aws-eks/overview)                      | Amazon Elastic Kubernetes Service, with IAM Roles for Service Accounts (IRSA) and an Application Load Balancer |
| [OpenShift 4.16+](/deployment/cloud/openshift/overview)                     | Red Hat OpenShift environments                                                                                 |
| [Upstream Kubernetes 1.29+](/deployment/cloud/upstream-kubernetes/overview) | Self-managed Kubernetes environments such as RKE2 or Charmed Kubernetes                                        |
| [On-premises](/deployment/on-prem/overview)                                 | Single-node Kubernetes (RKE2) on customer-provided or Poolside-provided hardware                               |

## Inference requirements

Poolside [models](/get-started/supported-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.

Laguna is the recommended primary model family for new deployments.

| Model       | Quantization | Minimum GPU memory | Minimum CPU | Minimum host memory |
| ----------- | ------------ | ------------------ | ----------- | ------------------- |
| Laguna M.1  | FP8          | 384 GB             | 128 cores   | 1 TB                |
| Laguna XS.2 | FP8          | 96 GB              | 44 cores    | 512 GB              |
| Malibu 2.2  | FP8          | 192 GB             | 128 cores   | 1 TB                |
| Malibu 2.2  | INT4         | 96 GB              | 44 cores    | 512 GB              |
| Point       | FP8          | 96 GB              | 44 cores    | 512 GB              |

For cloud deployments, storage requirements depend on whether S3-compatible storage is colocated on the inference node.

For on-premises deployments, see [Storage requirements](/deployment/on-prem/storage) for guidance on sizing and configuring storage.

### GPU memory reference

Poolside model inference targets the following NVIDIA GPU families: RTX 6000 Blackwell, H100, H200, B200, and B300. The memory per GPU is listed here for reference against the per-model minimum GPU memory table above:

| GPU                | Memory per GPU |
| ------------------ | -------------- |
| H100               | 80 GB          |
| RTX 6000 Blackwell | 96 GB          |
| H200               | 141 GB         |
| B200               | 192 GB         |
| B300               | 288 GB         |

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.