Axelera Metis Edge 130p PCIe card (16GB) vs NVIDIA DGX Spark
NVIDIA DGX Spark is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 22.37×).
| Axelera Metis Edge 130p PCIe card (16GB) | NVIDIA DGX Spark | |
|---|---|---|
| Best LLM generation | 33.80 tok/s C 2026-10-15 (page last edited) | 191 tok/s C 2026-07-21 (page last edited) |
| Power | n/a | 153 W spec |
| Perf / W | n/a | 1.25 tok/s/W spec |
| Price | n/a | $6950 list |
| Workloads with data | 1 of 7 | 2 of 7 |
Best published LLM generation 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
Only NVIDIA DGX Spark has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX Spark | 990 FPS inference_time · b=1 | YOLO11n FP16 · Ultralytics TensorRT · nano (YOLO-n) | B | 153 W spec platform spec envelope (not measured with this result) | Ultralytics documentation (benchmark table) 2026-09-27 (page last edited) |
Axelera Metis Edge 130p PCIe card (16GB):
No published object detection results for Axelera Metis Edge 130p PCIe card (16GB) or NVIDIA DGX Spark 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 Axelera Metis Edge 130p PCIe card (16GB) or NVIDIA DGX Spark 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 Axelera Metis Edge 130p PCIe card (16GB) or NVIDIA DGX Spark 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 Axelera Metis Edge 130p PCIe card (16GB) or NVIDIA DGX Spark 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 Axelera Metis Edge 130p PCIe card (16GB) or NVIDIA DGX Spark 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 Axelera Metis Edge 130p PCIe card (16GB) or NVIDIA DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX Spark | 60.39 tok/s tg128 · b=1 | Llama 2 7B Q4_0 · llama.cpp Vulkan (FA on, commit 657e011) · LLM 5–14B | C | 153 W spec platform spec envelope (not measured with this result) | llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API) 2026-10-10 (page last edited) |
| Axelera Metis Edge 130p PCIe card (16GB) | 2.70 tok/s generation_throughput · b=1 | qwen3-8b not stated · Voyager SDK model_axscript.llm · LLM 5–14B | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX Spark | 59.60 tok/s generation_throughput · b=1 | Nemotron 3 Nano Omni NVFP4 · vLLM · unknown | C | 153 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited) |
| Axelera Metis Edge 130p PCIe card (16GB) | 33.80 tok/s generation_throughput · b=1 | lfm2.5-350m not stated · Voyager SDK model_axscript.llm · unknown | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
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.