Built by industry veterans in high-performance computing, geothermal energy and high-frequency trading.

The bare metal performance engine.

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.

curl -fsSL https://computelab.co/install.sh | sh
irm https://computelab.co/install.ps1 | iex

Start free and we connect you by email.

Then run computelab fix in your repo. Docs Install

Every chip faces the same rigorous deployment and diagnostic standards.Building this engine for DARPA and other highly regulated partners.
Example
0runs remembered
0fixes reused across chips
0chips learning together

Chips and frameworks the engine runs on

NVIDIAAMDIntelGoogle TPUAWS TrainiumQualcommAppleArmCUDAROCmHIPTritonSYCLPallasNKIPyTorchJAX NVIDIAAMDIntelGoogle TPUAWS TrainiumQualcommAppleArmCUDAROCmHIPTritonSYCLPallasNKIPyTorchJAX

Partners

Meta ResearchLinux FoundationAWSMicrosoftGoogle Cloud

Scope, firmware to kernels

Nine layers, one engine, one proof

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

An engine that learns

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

Learned on H100. Proved on MI300X.

One command recalls a proved recipe, adapts it to the new chip and runs Verify on real hardware.

  computelab recall

recall match0.00

Fewer steps every run

The same job, shorter each time

Procedural memory replays the steps that worked. Each repeat of a kernel family takes fewer steps to a verified pass.

Example Steps to a verified pass, Example

How the product works

Requirement in. Proved environment out.

The engine runs inside the tools your team already uses. It adds a pull request to your queue and nothing else to your week.

01 In

Your requirement

A CLI command, an issue label, an API call or an MCP tool call states the chip, the workload and the number to hit.

02 Connect

Your systems

The engine links to your repo, CI, cloud account and machines with scoped, short-lived access.

03 Run

Every layer

Firmware, drivers, OS, interconnect, power, compilers, kernels and host code are measured and tuned on the real chip.

04 Out

PR, proof, artifact

One grouped pull request, a signed proof pack and an installable kernel or firmware artifact.

05 Watch

Kept working

Watch rechecks every firmware, driver and framework release and opens a fix when something moves. It gets better every run.

  terminal
$ 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
  console  |  jobs
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

Plugs into the workflow you have

Every surface reaches the same engine, the same intake, the same proof and the same memory.

CLI

computelab fix

One command install on your own repo. A change appears once it builds, passes and verifies on the real chip.

GitHub App

A label opens a job

Add slow on MI300X to an issue. The pull request comes back to the same repo.

Editors

VS Code and Neovim

Send a kernel or a host file to the engine from the editor and read the result inline.

API and MCP

Built for agents

Coding agents call the engine as a tool, with job and status calls and a cost cap per task.

Integrations
GitHubGitHub ActionsBuildkiteJenkinsSlackPrometheusGrafanaTerraformGitLabJiraW and B

Inside the engine

Search, Trace and Verify run as one product

Trace

Reads the machine

A kernel bill ranks every kernel by share of compute time, with firmware, driver and topology captured.

Trace
Search

Finds the fix

Searches every past run, fix and pass across chips before it writes, then tunes on the real chip.

Search
Verify

Signs the result

A signed pass or fail on real hardware, with a proof pack your team checks offline.

Verify
Green Computing

Counts the energy

Energy per accepted result from each chip maker's power tools, in every report.

Green Computing

Verify

A signed pass or fail on real hardware

Every job closes with a proof pack your team checks on its own machine.

Proof pack contents
  • PASSFirmware, driver and framework versions recorded
  • PASSError bounded against an FP64 answer across at least 64 shapes
  • PASSSpeed at 90 percent of the vendor library median time
  • PASS1000 identical runs for repeatability
  • PASSPower, temperature and energy per accepted result
  • PASSEd25519 signature with an offline verify script
  • PASSA shareable Verified by Computelab.co result page

Why teams trust the engine

Four reasons the result holds up

01 Expert review

HPC reviewers in the pipeline

A global bench of HPC engineers reviews hard cases inside the workflow. Every fix they make is reused for the next job.

02 Trading roots

Bare metal for nanoseconds

Reviewers from high-frequency trading set the latency and reliability bar the engine checks against.

03 Neutral

One grader for every chip

Every vendor gets the same test.

04 Regulated partners

Built for regulated partners

Building this engine for DARPA and other highly regulated partners, and working with regulators. Proof packs are made for auditors.

Who it is for

Built for teams that need the whole machine to perform

AI companies and GPU clouds

Add a second chip

The engine brings the new hardware to match your first vendor on accuracy and speed, from board to kernels.

Physical AI and devices

Run on the edge

Firmware, runtimes and kernels tuned for Snapdragon, Hexagon, Core ML and LiteRT.

Chip makers and regulated buyers

Prove it to anyone

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

Start free. Scale to the fleet.

Free

Free

The CLI on your own machine, host code checks, sanitizers, a kernel scan and your first check and first solution.

Start free
Team

Team

GitHub App, console, CI gate and Watch across your repos and chips, with expert review on hard cases.

Connect your repo
Enterprise

Enterprise

Every layer from firmware up, your cloud, self-hosted or air gapped, batch from CI and the full Clearinghouse.

Start free

The acceptance bar

Every job clears the same bar

64+

Shapes checked against an FP64 answer

90%

Of the vendor library median time, to pass

1000

Identical runs for repeatability

99.9%

Of the task score kept on whole model ports

Security

Your code and your machines stay yours

Isolation

One sealed container per job

Network off, least privilege, and your repo mounted read only.

Deployment

Four modes

Computelab.co cloud, your cloud account, self-hosted or air gapped.

Ownership

Full IP on delivered code

Signed builds, two-person release approval and short-lived credentials.

Leadership

The team behind the engine

Industry veterans in high-performance computing and low-latency engineering.

Founder and CTO

Laela Zorana

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.

Co-founder

Dr. Vish

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.

COO

Bradley Hamcock

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.

Vice President

Johann Miller

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.

Engineering network

Low-latency engineers in the US and worldwide

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.

Case study

Exposed GPU transfer cut from 3.836 ms to 0.473 ms

Shorter training steps on the same GPUs, 48 of 48 fp8 test cases bit exact on Blackwell, and a signed certificate on every result.

Read the case study

Better tomorrow than today

Whatever it is today, it is better tomorrow

Models

New models swapped in

The day a stronger model ships, the engine runs on it. Your jobs get faster and cheaper without a migration.

Silicon

New silicon learned before launch

The pre-release chip lab teaches the engine each new chip early. Your kernels are ready when the chip is.

Catalog

The catalog grows

Every passed kernel from every job adds to the qualified catalog. Each new job starts from more proved work.

Network

Every chip you add makes every other chip faster

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.