quantumpadTOOLS / MODEL-TO-COMPUTE
Find a home for your model.
Estimate memory requirements before comparing real hardware offers.
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Price lensNo current price observation
Compare offersModel requirements
ESTIMATED VRAM REQUIRED51.4GiB
Weights 32.6 GiBKV cache estimate 10.2 GiB
Assumptions, in the open.
Weights + 20% inference overhead (6× for training) + heuristic KV cache + 2 GiB runtime. KV depends on architecture, layers and batching; validate against your model.
Recommendations include 15% headroom. This is a memory estimate, not a performance or deployability guarantee. Multi-GPU models require compatible software and interconnects.
Hardware candidates
| HARDWARE | REFERENCE VRAM | MINIMUM GPUS | WITH HEADROOM | |
|---|---|---|---|---|
| NVIDIA H100 | 80 GB | 1 | 1 | Configure ↗ |
| NVIDIA H200 | 141 GB | 1 | 1 | Configure ↗ |
| NVIDIA B100 | 192 GB | 1 | 1 | Configure ↗ |
| NVIDIA B200 | 180 GB | 1 | 1 | Configure ↗ |
| NVIDIA A100 | 80 GB | 1 | 1 | Configure ↗ |
 AMD MI300X | 192 GB | 1 | 1 | Configure ↗ |
| AMD MI325X | 256 GB | 1 | 1 | Configure ↗ |
| NVIDIA L40S | 48 GB | 2 | 2 | Configure ↗ |
| NVIDIA RTX 5090 | 32 GB | 2 | 2 | Configure ↗ |
| NVIDIA L4 | 24 GB | 3 | 3 | Configure ↗ |
| NVIDIA RTX 4090 | 24 GB | 3 | 3 | Configure ↗ |