AMD Versal AI Edge Series Gen 2 VEK385 vs NVIDIA Jetson Thor T4000

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.

AMDeval kit (adaptive SoC)No licensed photo yet

NVIDIAedge moduleNo 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 Versal AI Edge Series Gen 2 VEK385	NVIDIA Jetson Thor T4000
Best object detection	93.50 FPS D 2026-09-24 (published)	n/a
Power	n/a	n/a
Perf / W	n/a	n/a
Price	$15995 list	n/a
Workloads with data	2 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 Versal AI Edge Series Gen 2 VEK385 has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Edge Series Gen 2 VEK385	93.50 FPS throughput · b=1	yolov8m VINT8 with BF16 tail (Quark) · Vitis AI 6.3 VART ml_vart --benchmark --runs 100 · medium (YOLO-m)	D	unknown power n/a no power published	AMD Vitis AI 6.3 VEK385 YOLOv8m tutorial 2026-09-24 (published)

NVIDIA Jetson Thor T4000:

◌

No published object detection results for NVIDIA Jetson Thor T4000 or AMD Versal AI Edge Series Gen 2 VEK385 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 Versal AI Edge Series Gen 2 VEK385 or NVIDIA Jetson Thor T4000 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 AMD Versal AI Edge Series Gen 2 VEK385 or NVIDIA Jetson Thor T4000 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 Edge Series Gen 2 VEK385 has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Edge Series Gen 2 VEK385	265 FPS throughput · b=1	resnet50-v1-12 (ONNX) INT8 (Quark) · Vitis AI 6.3 ONNX Runtime Vitis AI EP (evaluate.py, Python loop) · mid-size CNN	D	unknown power n/a no power published	AMD Vitis AI 6.3 VEK385 ResNet50 Quark tutorial 2026-09-23 (page last edited)

NVIDIA Jetson Thor T4000:

◌

No published image classification results for NVIDIA Jetson Thor T4000 or AMD Versal AI Edge Series Gen 2 VEK385 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 AMD Versal AI Edge Series Gen 2 VEK385 or NVIDIA Jetson Thor T4000 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

◌

No published speech-to-text results for AMD Versal AI Edge Series Gen 2 VEK385 or NVIDIA Jetson Thor T4000 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 Thor T4000 has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Thor T4000	35.00 tok/s generation_throughput · b=1	Qwen 3 8B NVFP4 · vLLM · LLM 5–14B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)

AMD Versal AI Edge Series Gen 2 VEK385:

◌

No published LLM generation results for AMD Versal AI Edge Series Gen 2 VEK385 or NVIDIA Jetson Thor T4000 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.