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Find the machine for your model. Sized by memory.

41 model entries. Compare GPU memory figures and their sources before choosing a machine configuration.

By machine.

13 more are sized on request. Search one to ask.

1× RTX 5090

32 GB · $7,880 · cheapest fit for 22
Configure & buy

Models where 1× RTX 5090 is the cheapest fit

ModelServeShare of the machine
Qwen3.6 35B A3B30 GB4-bitof 32 GB
LLaVA 34B24 GBRuntime defaultof 32 GB
DeepSeek-R1 32B32 GBRuntime defaultof 32 GB
gemma 4 31B27 GB4-bitof 32 GB
Qwen3 Coder 30B20 GB4-bitof 32 GB
granite 4.2 30b23 GB4-bitof 32 GB
Qwen3.8 27B23 GB4-bitof 32 GB
gemma 4 26B A4B23 GB4-bitof 32 GB

2× Workstation RTX 5090

64 GB · $19,541 · cheapest fit for 2
Configure & buy

Models where 2× Workstation RTX 5090 is the cheapest fit

ModelServeShare of the machine
Llama 3.3 70B42 GB4-bitof 64 GB
HunyuanVideo48 GBRuntime defaultof 64 GB

4× RTX PRO 6000 Server Edition

384 GB · $99,971 · cheapest fit for 4
Configure & buy

Models where 4× RTX PRO 6000 Server Edition is the cheapest fit

ModelServeShare of the machine
Qwen3 Coder 480B A35B364 GB4-bitof 384 GB
gpt-oss 120B72 GB4-bitof 384 GB
Llama 4 Scout 17B 16E85 GB4-bitof 384 GB
Qwen3 Coder Next65 GB4-bitof 384 GB

These are catalog sizing thresholds, planning estimates and external reports. Context, concurrency and runtime overhead can increase memory use. A memory match does not establish a tested deployment, throughput or live capacity. “Runtime default” means the sizing row does not name a precision. Fine-tune figures use QLoRA where recorded, otherwise LoRA.

Running something bigger?

The B300 has 2.3 TB of GPU memory.

Next: how fast it runs