Research

Edge AI, DSP and inference acceleration research

This page covers prototype-oriented FPGA work for edge AI and DSP pipelines. It is scoped as research and engineering review, not as a public production benchmark program.

Research scope

Supported work

The public page covers prototype and review-oriented FPGA work for streaming inference and DSP paths.

Quantized inference prototype work

Available for scoping when the data path, board and performance target are defined.

Streaming DSP pipelines

Available for scoping when the data path, board and performance target are defined.

FPGA dataflow architecture

Available for scoping when the data path, board and performance target are defined.

Board-level feasibility review

Available for scoping when the data path, board and performance target are defined.

Latency and power estimation

Available for scoping when the data path, board and performance target are defined.

Available now

What AccelFury can do now

Publicly positioned work is limited to review, prototype architecture and bring-up-oriented integration planning.

  • Operator and pipeline review
  • Prototype RTL planning
  • Board-fit analysis
  • Measurement planning
  • Integration consulting

Boundary

What is not public

No generic “AI superchip” claims, no public production appliance and no fixed performance ratios are published on this site.

  • No public production inference appliance is published.
  • No public benchmark suite is published for customer workloads.
  • No fixed power or throughput numbers are claimed without board-specific evidence.

Next step

Discuss an edge-AI or DSP prototype

Send the model or DSP chain, precision requirements, board assumptions and the latency or throughput constraint that matters most.