🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN ON DATACENTER GPU
Run EXAONE Deep 2.4B on Datacenter GPU hardware
13 options ranked by estimated speed at Q4 / 8k context.
| Hardware | Est tok/s | Fits 8k? | Max ctx | ~Price |
|---|---|---|---|---|
| NVIDIA B200 → | ~5,178.6 | yes | 2652k | — |
| AMD Instinct MI325X → | ~3,437.5 | yes | 3550k | — |
| NVIDIA H200 → | ~3,107.1 | yes | 1936k | — |
| AMD Instinct MI300X 192GB → | ~3,036.5 | yes | 2652k | ~$15,000 |
| NVIDIA H100 SXM5 80GB → | ~2,168.5 | yes | 1080k | ~$30,000 |
| Intel Gaudi 3 → | ~1,982.1 | yes | 1753k | — |
| NVIDIA A100 SXM4 80GB → | ~1,319.9 | yes | 1080k | ~$15,000 |
| NVIDIA H100 PCIe 80GB → | ~1,294.6 | yes | 1080k | ~$25,000 |
| NVIDIA A100 PCIe 80GB → | ~1,252.6 | yes | 1080k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell → | ~1,160 | yes | 1304k | ~$8,500 |
| NVIDIA RTX 6000 Ada 48GB → | ~621.4 | yes | 630k | ~$6,800 |
| NVIDIA L40S 48GB → | ~559.3 | yes | 630k | ~$10,000 |
| AMD Radeon Pro W7900 48GB → | ~495 | yes | 630k | ~$3,999 |
Estimate at Q4 (memory-bound). Click any option for its full per-hardware estimate and measured numbers.
FAQ
What Datacenter GPU hardware runs EXAONE Deep 2.4B?▶
On GenAIList, 13 Datacenter GPU options can run EXAONE Deep 2.4B at Q4 — the fastest is the NVIDIA B200 at ~5,178.6 tok/s.
How fast is EXAONE Deep 2.4B on Datacenter GPU hardware?▶
Estimated generation speed ranges from ~495 to ~5,178.6 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.