Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) vs G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB)
Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) is faster in the only like-for-like comparison (largest gap: speech-to-text, 1.09×).
| Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) | G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) | |
|---|---|---|
| Best speech-to-text | 52222 FPS A 2026-09-16 (published) | 48117 FPS A 2026-04-01 (published) |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 1 of 7 | 1 of 7 |
Best published speech-to-text result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
No published object detection results for Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) or G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
instance segmentation
No published instance segmentation results for Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) or G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
No published pose estimation results for Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) or G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
No published image classification results for Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) or G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
No published semantic segmentation results for Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) or G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) | 52222 FPS throughput_offline · b=unknown | MLPerf whisper fp16 · TensorRT 10.14, CUDA 13.1 · unknown | A | unknown power n/a no power published | MLPerf Inference v6.1, closed division, data-centre suite 2026-09-16 (published) |
| G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) | 48117 FPS throughput_offline · b=unknown | MLPerf whisper fp16 · TensorRT 10.14, CUDA 13.1 · unknown | A | unknown power n/a no power published | MLPerf Inference v6.0, closed division, data-centre suite 2026-04-01 (published) |
LLM generation
No published LLM generation results for Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) or G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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
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.