AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) vs G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB)

FPGA / Versal coverage note: 1,243 rows come from the AMD Vitis AI 3.0/3.5 Model Zoo tables; 733 (59%) are image classification. Detection, segmentation and other workloads are thinner, and there is no LLM or speech data for these boards. All are vendor-published (grade D). FPGA / Versal overview.

No licensed photo available — placeholder drawing.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

	AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB)
Best object detection	6100 FPS D Older data (2023)	n/a
Power	75.00 W spec	n/a
Perf / W	81.34 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	4 of 7	1 of 7

Best published object detection result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	280 FPS E2E throughput, multi thread · b=unknown	pt_yolov6m_3.5 INT8 · Vitis AI 3.5 (VART) · medium (YOLO-m)	D	75.00 W spec reported in result source — spec	Vitis AI 3.5 Model Zoo performance table Older data (2023)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

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No published object detection results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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 AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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

Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	8327 FPS E2E throughput, multi thread · b=unknown	pt_movenet_3.5 INT8 · Vitis AI 3.5 (VART) · unknown	D	75.00 W spec reported in result source — spec	Vitis AI 3.5 Model Zoo performance table Older data (2023)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

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No published pose estimation results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	7780 FPS E2E throughput, multi thread · b=unknown	pt_OFA-resnet50_0.88_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN	D	75.00 W spec reported in result source — spec	Vitis AI 3.5 Model Zoo performance table Older data (2023)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

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No published image classification results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	1177 FPS E2E throughput, multi thread · b=unknown	tf2_2D-UNET_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN	D	75.00 W spec reported in result source — spec	Vitis AI 3.5 Model Zoo performance table Older data (2023)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

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No published semantic segmentation results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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

Only G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
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, datacenter) ID 6.0-0039 undated

AMD Alveo V70 (Versal AI Core, XDNA AIE-ML):

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No published speech-to-text results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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.

LLM generation

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No published LLM generation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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

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.