Computelab.co builds one product. The Engine runs the entire compute environment, from firmware to kernels, on any chip. Neutral on every chip. Building this engine for DARPA and other highly regulated partners.
Why it exists
Teams move to a second chip, a new cloud or FP8, and every layer feels it. Firmware, drivers, networks, compilers and kernels all have to work together.
The Engine connects to your repo, CI, cloud and machines. It returns a merged pull request, a signed proof pack and an installable artifact. Then it keeps watching.
Trace finds the costly kernel. Search finds the fix. Verify proves it on the real chip. Green Computing counts the energy.
Public studies with real implementations and measurements stand behind the Engine. Read them on the research page.
Partners
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.
The pipeline
$ computelab fix kernels/attn_fwd.cu --chip MI300X agents plan, port, test, profile verify PASS on MI300X, 64 of 64 shapes expert reviewer sign off, HPC bench senior release approved, two-person rule proof signed ed25519 attn_fwd.pack PR #214 ready to merge
A global network of HPC, scientific computing and high-frequency trading engineers reviews Engine output. Hard cases escalate to them inside the pipeline.
Jobs from US customers are reviewed by engineers in the United States, from first check to watch.
Reasons to trust it
Laela and a global network of contract engineers with accumulated HPC experience review every escalated run.
High-frequency trading roots. Bare metal tuned for nanoseconds of speed, latency and reliability.
Every vendor gets the same test.
Building this engine for DARPA and other highly regulated partners, and working with regulators.
Product principles
Every result runs on the real chip and comes with an Ed25519 signed proof pack you can check offline.
Every job runs the same intake, kernel check, hardware verification and expert review. You get one pull request and you click merge.
The Engine rechecks your kernels on each new driver, firmware and framework release, with a named regression owner.
Each job runs in its own sealed container. You keep full IP on delivered code.
NVIDIA, AMD, Intel, Google TPU, AWS Trainium, Qualcomm, Apple and Arm. Each one faces the same test.
When an expert fixes a case, the fix goes into run memory. It is paid for once and reused.
Kernel engineers, join the bench
Join free, take jobs the agents could not finish and get paid per passed kernel. US first.