// RUN ON DATACENTER GPU

Run data2vec (language) on Datacenter GPU hardware

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

HardwareEst tok/sFits 8k?Max ctx~Price
NVIDIA B200 โ†’ ~17,625.8 yes 2666k โ€”
AMD Instinct MI325X โ†’ ~11,699.9 yes 3565k โ€”
NVIDIA H200 โ†’ ~10,575.5 yes 1950k โ€”
AMD Instinct MI300X 192GB โ†’ ~10,334.9 yes 2666k ~$15,000
NVIDIA H100 SXM5 80GB โ†’ ~7,380.8 yes 1094k ~$30,000
Intel Gaudi 3 โ†’ ~6,746.4 yes 1768k โ€”
NVIDIA A100 SXM4 80GB โ†’ ~4,492.4 yes 1094k ~$15,000
NVIDIA H100 PCIe 80GB โ†’ ~4,406.5 yes 1094k ~$25,000
NVIDIA A100 PCIe 80GB โ†’ ~4,263.2 yes 1094k ~$12,000
NVIDIA RTX PRO 6000 Blackwell โ†’ ~3,948.2 yes 1319k ~$8,500
NVIDIA RTX 6000 Ada 48GB โ†’ ~2,115.1 yes 645k ~$6,800
NVIDIA L40S 48GB โ†’ ~1,903.6 yes 645k ~$10,000
AMD Radeon Pro W7900 48GB โ†’ ~1,684.8 yes 645k ~$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 data2vec (language)?โ–ถ

On GenAIList, 13 Datacenter GPU options can run data2vec (language) at Q4 โ€” the fastest is the NVIDIA B200 at ~17,625.8 tok/s.

How fast is data2vec (language) on Datacenter GPU hardware?โ–ถ

Estimated generation speed ranges from ~1,684.8 to ~17,625.8 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.