Cisco UCS C845A M8 (8x NVIDIA H200-NVL-141GB): edge AI benchmarks

Name: Cisco UCS C845A M8 (8x NVIDIA H200-NVL-141GB)
Brand: Cisco

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Vendor CiscoForm factor datacenter serverCompute GPUIndicative price unknownPower envelope unknownPublished rows 1

speech-to-text30195 FPSA perf/W n/aundated

Best published result per workload, across model sizes — open “Show data” for like-for-like groups.

Show data — per-workload tables

object detection

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No published object detection results for Cisco UCS C845A M8 (8x NVIDIA H200-NVL-141GB) 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 Cisco UCS C845A M8 (8x NVIDIA H200-NVL-141GB) 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 Cisco UCS C845A M8 (8x NVIDIA H200-NVL-141GB) 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 Cisco UCS C845A M8 (8x NVIDIA H200-NVL-141GB) 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 Cisco UCS C845A M8 (8x NVIDIA H200-NVL-141GB) 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

Like-for-like group	Best result	Model · precision · stack	Grade	Power	Source · date	Rank in group
unknown · b=unknown	30195 FPS	MLPerf whisper fp16 · TensorRT 10.11, CUDA 12.9	A	unknown power n/a	MLPerf Inference v6.0 (closed, datacenter) ID 6.0-0008 undated	13 of 48

LLM generation

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No published LLM generation results for Cisco UCS C845A M8 (8x NVIDIA H200-NVL-141GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

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.