// RUN ON DATACENTER GPU

Run C2S-Scale on Datacenter GPU hardware

13 options ranked by estimated speed at Q4 / 8k context.

HardwareEst tok/sFits 8k?Max ctx~Price
NVIDIA B200 โ†’ ~460.3 yes 610k โ€”
AMD Instinct MI325X โ†’ ~305.6 yes 835k โ€”
NVIDIA H200 โ†’ ~276.2 yes 431k โ€”
AMD Instinct MI300X 192GB โ†’ ~269.9 yes 610k ~$15,000
NVIDIA H100 SXM5 80GB โ†’ ~192.8 yes 217k ~$30,000
Intel Gaudi 3 โ†’ ~176.2 yes 386k โ€”
NVIDIA A100 SXM4 80GB โ†’ ~117.3 yes 217k ~$15,000
NVIDIA H100 PCIe 80GB โ†’ ~115.1 yes 217k ~$25,000
NVIDIA A100 PCIe 80GB โ†’ ~111.3 yes 217k ~$12,000
NVIDIA RTX PRO 6000 Blackwell โ†’ ~103.1 yes 274k ~$8,500
NVIDIA RTX 6000 Ada 48GB โ†’ ~55.2 yes 105k ~$6,800
NVIDIA L40S 48GB โ†’ ~49.7 yes 105k ~$10,000
AMD Radeon Pro W7900 48GB โ†’ ~44 yes 105k ~$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 C2S-Scale?โ–ถ

On GenAIList, 13 Datacenter GPU options can run C2S-Scale at Q4 โ€” the fastest is the NVIDIA B200 at ~460.3 tok/s.

How fast is C2S-Scale on Datacenter GPU hardware?โ–ถ

Estimated generation speed ranges from ~44 to ~460.3 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.