HWBench

PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell): edge AI benchmarks

Vendor FujitsuForm factor datacenter serverCompute GPUIndicative price unknownPower envelope unknownPublished rows 2

Key results

Best published result per workload for PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell)
WorkloadBest resultModel · precisionPower · perf/WGrade · dateSource
LLM serving (MLPerf datacenter)27341 tok/s
batch unknown
MLPerf llama2-70b-99.9
fp4 · TensorRT 10.16, CUDA 13.2, cuDNN 9.21
unknownA 2026-09-16 (published)MLPerf Inference v6.1, closed division, data-centre suite

Best published result per workload, across model sizes. For like-for-like groups, open the per-workload tables below.

Show data — per-workload tables

object detection

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No published object detection results for PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

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No published instance segmentation results for PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

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No published pose estimation results for PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

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No published image classification results for PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

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No published semantic segmentation results for PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

speech-to-text

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No published speech-to-text results for PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

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No published LLM generation results for PRIMERGY_CDI_RTX_PRO_6000_PCIE_96GBx8) (8x NVIDIA RTX PRO 6000 Blackwell) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM serving (MLPerf datacenter)

Like-for-like groupBest resultModel · precision · stackGradePowerSource · dateRank in group
LLM >40B · b=unknown27341 tok/sMLPerf llama2-70b-99.9
fp4 · TensorRT 10.16, CUDA 13.2, cuDNN 9.21
Aunknown power n/aMLPerf Inference v6.1, closed division, data-centre suite
2026-09-16 (published)
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How to read these numbers
Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.