Infrastructure for DeepSeek

Infrastructure for DeepSeek

Infrastructure for DeepSeek: model selection, memory requirements, storage and deployment choices without invented performance claims.

Choose a configuration in Console to review its resources and estimated cost.

What to plan for

DeepSeek-R1 and its distilled models are different workloads. Distilled releases span 1.5B to 70B parameters; the full model needs a separate sizing exercise.

Name the exact release and precision. “DeepSeek for 50 users” is insufficient to promise a GPU configuration or response time.

Configuration choices

24–32 GB class

L4, A10, RTX 4090 or RTX 5090. Consider for smaller models only after measuring total memory, including runtime and cache.

48–80 GB class

L40S, A40, A100 or H100. More memory may accommodate larger working sets; it does not guarantee concurrency or token speed.

141 GB and multi-GPU

H200, B200 or B300 and explicitly sized multi-GPU systems. Confirm exact model, precision, topology and serving framework.

Weight-only memory ≈ parameters × bytes per parameter. Runtime, KV cache, activations and optimizer state are additional. This is a sizing method, not a deployment recommendation.

Smart Infra Finder

Your workload, your requirements

Matches come from the catalog. Unclear sizing needs clarification; performance and availability are never invented.

Check availability: Infrastructure for DeepSeek

Check the current price and configuration in Console. Your choice is saved through registration. The current lookup uses mock adapters; no real capacity is reserved.

Related products and guides

Specification sources

Hardware and model documentation; these sources do not confirm rental availability.

Official documentation 1 →