Firmware, board, drivers, power and thermal, compilers and kernels. Tuned and proved on any chip.
It remembers every trace, fix and pass. What it learns on one chip runs on every chip.
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Chips and frameworks the engine runs on
Partners
Scope, firmware to kernels
Pick a layer to see what the engine does there. Code is one layer. The machine under it runs through the same workflow.
Vector memory and recall
Every run, trace, fix and pass goes into one vector memory. A fix learned on one chip is recalled on every chip. Every run makes the next one faster.
Recall in the CLI
One command recalls a proved recipe, adapts it to the new chip and runs Verify on real hardware.
Fewer steps every run
Procedural memory replays the steps that worked. Each repeat of a kernel family takes fewer steps to a verified pass.
How the product works
The engine runs inside the tools your team already uses. It adds a pull request to your queue and nothing else to your week.
A CLI command, an issue label, an API call or an MCP tool call states the chip, the workload and the number to hit.
The engine links to your repo, CI, cloud account and machines with scoped, short-lived access.
Firmware, drivers, OS, interconnect, power, compilers, kernels and host code are measured and tuned on the real chip.
One grouped pull request, a signed proof pack and an installable kernel or firmware artifact.
Watch rechecks every firmware, driver and framework release and opens a fix when something moves. It gets better every run.
$ computelab fix ./repo --chip mi300x # contract loaded, 64 shapes, 20% held back connect repo, CI, cloud role LINKED machine firmware, driver recorded NUMA, clocks, thermal recorded run attn_fwd baseline FAIL attn_fwd v3 tuned PASS out pull request #482 READY proof pack, Ed25519 SIGNED artifact, kernel BUILT watch ON
job layer status fw-2291 firmware PASS drv-1187 runtime PASS net-0412 interconnect RUNNING krn-3305 kernels PASS pwr-0207 thermal PASS watch ROCm release rechecked PASS firmware release rechecked PASS BIOS update queued
Access
Every surface reaches the same engine, the same intake, the same proof and the same memory.
One command install on your own repo. A change appears once it builds, passes and verifies on the real chip.
Add slow on MI300X to an issue. The pull request comes back to the same repo.
Send a kernel or a host file to the engine from the editor and read the result inline.
Coding agents call the engine as a tool, with job and status calls and a cost cap per task.
Inside the engine
A kernel bill ranks every kernel by share of compute time, with firmware, driver and topology captured.
TraceSearches every past run, fix and pass across chips before it writes, then tunes on the real chip.
SearchA signed pass or fail on real hardware, with a proof pack your team checks offline.
VerifyEnergy per accepted result from each chip maker's power tools, in every report.
Green ComputingVerify
Every job closes with a proof pack your team checks on its own machine.
Why teams trust the engine
A global bench of HPC engineers reviews hard cases inside the workflow. Every fix they make is reused for the next job.
Reviewers from high-frequency trading set the latency and reliability bar the engine checks against.
Every vendor gets the same test.
Building this engine for DARPA and other highly regulated partners, and working with regulators. Proof packs are made for auditors.
Who it is for
The engine brings the new hardware to match your first vendor on accuracy and speed, from board to kernels.
Firmware, runtimes and kernels tuned for Snapdragon, Hexagon, Core ML and LiteRT.
Every result ships with a signed proof pack an auditor or partner checks offline.
Compute Clearinghouseâ„¢
Expert engineers, a real chip pool and buyer jobs, sold as one outcome. Post an acceptance spec. Verify clears it.
Plans
The CLI on your own machine, host code checks, sanitizers, a kernel scan and your first check and first solution.
Start freeGitHub App, console, CI gate and Watch across your repos and chips, with expert review on hard cases.
Connect your repoEvery layer from firmware up, your cloud, self-hosted or air gapped, batch from CI and the full Clearinghouse.
Start freeThe acceptance bar
Shapes checked against an FP64 answer
Of the vendor library median time, to pass
Identical runs for repeatability
Of the task score kept on whole model ports
Security
Network off, least privilege, and your repo mounted read only.
Computelab.co cloud, your cloud account, self-hosted or air gapped.
Signed builds, two-person release approval and short-lived credentials.
Leadership
Industry veterans in high-performance computing and low-latency engineering.
Laela built her career in high-frequency trading, tuning bare metal systems for nanoseconds of speed. Today she supports frontier AI labs, works with chip makers and has run large GPU clusters. That low-latency discipline is built into how the engine measures, tunes and proves every layer.
Dr. Vish brings decades of industry experience in green construction, geothermal energy and power. He shapes how the engine measures energy, power and thermal behavior from the facility down to the chip.
Bradley is a performance engineer who has worked across several firms, including top quantitative trading firms and hardware manufacturers. He runs operations, delivery and partner programs, so every pilot moves from first check to proved results on schedule.
Johann is a scientific computing engineer with a long career in the medical field, where accuracy and reliability come first. That rigor goes into every customer and partner the engine serves.
Contract engineers in the US and abroad who have worked with Laela on many low-latency engineering projects. The engine runs with a human in the loop in this phase. These engineers step in on every hard case, so nothing breaks while the engine learns.
Better tomorrow than today
The day a stronger model ships, the engine runs on it. Your jobs get faster and cheaper without a migration.
The pre-release chip lab teaches the engine each new chip early. Your kernels are ready when the chip is.
Every passed kernel from every job adds to the qualified catalog. Each new job starts from more proved work.
A fix proved on your new chip goes into shared memory. Your other chips recall it on the next run.
Connect one repo. Get one proved fix.
Your first check and first solution are free, run on real hardware with a signed proof pack. Every run after it gets faster.