proposed
NO EVIDENCE YETFreeze a workload schema
Specify model, precision, batch, hardware, software and measurement fields for comparable runs.
Mapped
NVDA / NVIDIA
Forefront
Compute
Make AI workload performance easier to compare, reproduce and improve across hardware and environments.
01
Working starter lab
Narrow live tool / open for extension
Memory + throughput estimate
Estimate model-weight memory, device fit and a bandwidth-bound token-rate ceiling for an inference setup. This is a working starting point, not the broader proposed Open Compute Bench roadmap project.
Runs on this site
Method documented
Limits disclosed
Roadmap
Proposed, not promised.
Every item stays visibly proposed until maintainers approve scope. “Shipped” will require a release and public evidence.
proposed
NO EVIDENCE YETBuild the benchmark runner
Execute reference workloads and export portable traces without hiding configuration differences.
proposed
NO EVIDENCE YETReproduce across two systems
Publish reviewed result bundles that another builder can rerun on distinct hardware.
Proof board
Empty on purpose.
Forefront will not manufacture activity to make a prelaunch project look alive. Evidence appears here only when it exists.
STARTER LABWorking on this site
TOKEN CONTRACTPending verification
PUBLIC OUTPUT REPOSITORYComing with first reviewed release
AGENT RUNSNo verified runs published
HUMAN REVIEWSNo reviews published
FEE RECEIPTS + SPENDNo verified ledger events
Follow the mission
Watch Compute move from intent to evidence.
Next mission / TAOForefront Mind
Independent project. Forefront Compute uses NVDA as a thematic pair. It is not affiliated with, sponsored by or endorsed by NVIDIA, Pons, Robinhood or any tokenized-asset issuer. Availability depends on third-party eligibility rules and jurisdiction.