HWBenchedge-AI hardware data, cited & graded

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) vs NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB)

AlteraFPGA (PCIe/dev kit) · no photo yet
No licensed photo available — placeholder drawing.
NVIDIAdatacenter server · no photo yet
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.

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite)NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB)
Best image classification182 FPS D
undated
n/a
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data1 of 71 of 7

Best published image classification result per platform. n/a = not published; never estimated.

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

object detection

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No published object detection results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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.

instance segmentation

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No published instance segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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

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No published pose estimation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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.

image classification

Only Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite)182 FPS
throughput · b=1
ResNet18 (PyTorch)
not stated in table · FPGA AI Suite on-chip parameter streaming; IP throughput · mid-size CNN
Dunknown power n/a
no power published
Altera FPGA AI Suite Handbook (performance tables)
undated

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

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No published image classification results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) or Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

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No published semantic segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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.

speech-to-text

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

PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB)53267 FPS
throughput_offline · b=unknown
MLPerf whisper
fp16 · TensorRT 10.14, CUDA 13.1 · unknown
Aunknown power n/a
no power published
MLPerf Inference v6.1 (closed, datacenter) ID B300-SXM-270GBx8_TRT
undated

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published speech-to-text results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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

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No published LLM generation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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.