Interactive Demo

AI Inference: Conventional vs ATOMiK Research Preview

Same AI output. Fraction of the energy. Explore the architectural advantage.

ⓘThis demonstration illustrates ATOMiK's architectural advantages for AI inference workloads. Performance projections are based on validated hardware benchmarks (69.7 Gops/s on Zynq XC7Z020) extrapolated to inference scenarios. Production AI inference benchmarks are in active development. Track progress on our roadmap.
101001000

Traditional GPU Architecture

Waiting for prompt...
Power
0 W
Throughput
0 tok/s
Cost/1M tok
$0.00

ATOMiK Architecture

Waiting for prompt...
Power
0 W
Throughput
0 tok/s
Cost/1M tok
$0.00

Same AI Output. Fraction of the Energy.

0x power reduction — same throughput, same output quality

GPU Inference Power Draw0 W
ATOMiK Inference Power Draw0 W

Instead of moving massive tensors through memory hierarchies, ATOMiK evolves system state locally using delta propagation.

Methodology

  • ■Traditional GPU numbers are based on published TDP specifications for NVIDIA A100 (300W) and H100 (350W) in inference configurations. Actual power draw varies by batch size, model, and cooling.
  • ■ATOMiK numbers are based on measured FPGA power consumption (Tang Nano 9K: 0.5W, Zynq XC7Z020: estimated 5-20W for inference-class workloads) extrapolated to inference scenarios using architectural analysis of data movement reduction.
  • ■These are architectural projections, not production benchmarks. ATOMiK's delta-state algebra is proven for state management workloads. Application to full AI inference pipelines is under active development and has not been independently validated.
=
Same Output
Identical AI responses, token by token. No quality compromise.
22x
Less Power
Delta propagation eliminates redundant memory movement.
Δ
Delta Architecture
State evolves locally instead of being copied globally.

Get notified when AI inference benchmarks are available

Stay in the loop

Release notes, technical articles, and hardware updates. No spam.

Get StartedRead the White PaperView Pricing