AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs NVIDIA DGX B300 (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.

AMDSOM starter kit (adaptive SoC)No licensed photo yet

NVIDIAdatacenter serverNo licensed photo yet

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

	AMD Kria KV260 Vision AI Starter Kit (K26 SOM)	NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB)
Best object detection	276 FPS D Older data (2023)	n/a
Power	7.50 W spec	n/a
Perf / W	36.76 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 Kria KV260 Vision AI Starter Kit (K26 SOM) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Kria KV260 Vision AI Starter Kit (K26 SOM)	33.60 FPS throughput (DPU only) · b=1	YOLOv8n-Ghost (Hard-Swish, xView3-SAR) INT8 (Vitis AI quantizer, power-of-two) · Vitis AI 3.5 VART, DPU inference only, 2 threads · nano (YOLO-n)	C	7.50 W spec platform spec envelope (not measured with this result)	arXiv 2507.04842v2 (SAR vessel detection on Kria KV260), Table 6 2025-11-17 (published)

NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB):

◌

No published object detection results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) or AMD Kria KV260 Vision AI Starter Kit (K26 SOM) 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 AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or NVIDIA DGX B300 (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 Kria KV260 Vision AI Starter Kit (K26 SOM) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Kria KV260 Vision AI Starter Kit (K26 SOM)	352 FPS E2E throughput, multi thread · b=unknown	pt_movenet_coco_192_192_0.5G INT8 · Vitis AI 3.0 (VART) · mobile-class CNN	D	7.50 W spec reported in result source — spec	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB):

◌

No published pose estimation results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) or AMD Kria KV260 Vision AI Starter Kit (K26 SOM) 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 Kria KV260 Vision AI Starter Kit (K26 SOM) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Kria KV260 Vision AI Starter Kit (K26 SOM)	214 FPS E2E throughput, multi thread · b=unknown	pt_OFA-resnet50_imagenet_160_160_0.88_1.8G INT8 · Vitis AI 3.0 (VART) · mid-size CNN	D	7.50 W spec reported in result source — spec	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB):

◌

No published image classification results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) or AMD Kria KV260 Vision AI Starter Kit (K26 SOM) 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 Kria KV260 Vision AI Starter Kit (K26 SOM) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Kria KV260 Vision AI Starter Kit (K26 SOM)	32.90 FPS E2E throughput, multi thread · b=unknown	pt_SemanticFPN-mobilenetv2_cityscapes_512_1024_10G INT8 · Vitis AI 3.0 (VART) · mobile-class CNN	D	7.50 W spec reported in result source — spec	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB):

◌

No published semantic segmentation results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) or AMD Kria KV260 Vision AI Starter Kit (K26 SOM) 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 NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB)	53267 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)

AMD Kria KV260 Vision AI Starter Kit (K26 SOM):

◌

No published speech-to-text results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or NVIDIA DGX B300 (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

◌

No published LLM generation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or NVIDIA DGX B300 (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.