AMD Versal AI Core VCK190 (VC1902) vs NVIDIA Jetson AGX Thor

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 Versal AI Core VCK190 (VC1902)	NVIDIA Jetson AGX Thor
Best object detection	1300 FPS D Older data (2023)	719 FPS B undated
Power	n/a	130 W spec
Perf / W	n/a	5.53 FPS/W spec
Price	n/a	$3499 list
Workloads with data	4 of 7	2 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

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n); batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Thor	719 FPS inference_time · b=1	YOLO26n FP16 · Ultralytics TensorRT · nano (YOLO-n)	B	130 W spec platform spec envelope (not measured with this result)	Ultralytics docs benchmark table undated
AMD Versal AI Core VCK190 (VC1902) MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1	1300 FPS E2E throughput, multi thread · b=unknown	tf_RefineDet-Medical_EDD_320_320_0.88_9.83G INT8 · Vitis AI 3.0 (VART) · unknown	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

No shared like-for-like group exists for this pair.

instance segmentation

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No published instance segmentation results for AMD Versal AI Core VCK190 (VC1902) or NVIDIA Jetson AGX Thor 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 Versal AI Core VCK190 (VC1902) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Core VCK190 (VC1902)	437 FPS E2E throughput, multi thread · b=unknown	pt_movenet_coco_192_192_0.5G INT8 · Vitis AI 3.0 (VART) · unknown	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA Jetson AGX Thor:

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No published pose estimation results for NVIDIA Jetson AGX Thor or AMD Versal AI Core VCK190 (VC1902) 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 Versal AI Core VCK190 (VC1902) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Core VCK190 (VC1902)	4566 FPS E2E throughput, multi thread · b=unknown	tf_resnetv1_50_imagenet_224_224_0.65_2.45G INT8 · Vitis AI 3.0 (VART) · mid-size CNN	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA Jetson AGX Thor:

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No published image classification results for NVIDIA Jetson AGX Thor or AMD Versal AI Core VCK190 (VC1902) 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 Versal AI Core VCK190 (VC1902) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Core VCK190 (VC1902)	2938 FPS E2E throughput, multi thread · b=unknown	tf2_2d-unet_nuclei_128_128_5.31G INT8 · Vitis AI 3.0 (VART) · mid-size CNN	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA Jetson AGX Thor:

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No published semantic segmentation results for NVIDIA Jetson AGX Thor or AMD Versal AI Core VCK190 (VC1902) 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 AMD Versal AI Core VCK190 (VC1902) or NVIDIA Jetson AGX Thor yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

Only NVIDIA Jetson AGX Thor has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Thor	45.00 tok/s tok/s gen, concurrency 1 · b=1	Qwen2.5-VL 7B n/s on page · NVIDIA (vLLM/TensorRT-LLM per page) · LLM 5–14B	D	130 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson Benchmarks undated

AMD Versal AI Core VCK190 (VC1902):

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No published LLM generation results for AMD Versal AI Core VCK190 (VC1902) or NVIDIA Jetson AGX Thor 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.