DEV
GPU & INFERENCE
+40 758 652 786 CONTACT@MOMODEV.NET

Your GPUs
are mostly
waiting.

We profile kernels, memory traffic and scheduling, then fix what keeps the silicon idle. Same hardware, more work per hour, or less hardware for the same work.

BEFORE SM 11/36 UTIL 31%

WHERE THE TIME GOES

SM.00

PROFILING

Nsight traces before any change. We find out whether you are bound by compute, memory, launch overhead or the dataloader. Then we fix that.

SM.01

KERNELS

Fusion, tiling and Triton or CUDA rewrites of the hot ops. Mixed precision where your accuracy budget allows it.

SM.02

MEMORY

Bandwidth-bound ops, layouts, activation checkpointing and the host-device copies nobody noticed were synchronous.

SM.03

SCALING

Multi-GPU and multi-node: communication overlapped with compute, and parallelism sized to the model instead of the defaults.

SM.04

INPUT PIPELINE

GPUs waiting on CPU decoding, tokenization or storage. Often the cheapest speed-up on the list.

SM.05

CAPACITY

Instance types, spot and reserved mix, cluster scheduling. Sometimes the answer is fewer, busier GPUs.

HOW IT RUNS

  1. 01

    Signal

    30 MINUTES · FREE

    Bring the bill or the slow job. We tell you on the call whether there is anything on the table.

  2. 02

    Audit

    1–2 WEEKS · €1,000 ONLY IF WE FIND A SPEED-UP

    We profile the real workload and write down what each fix is worth, and what it risks.

  3. 03

    Fix

    2–6 WEEKS · WEEKLY BENCHMARK

    Fixes ship in order of value, each one proven against the audit baseline.

  4. 04

    Verify

    30 DAYS · THEN HANDOFF

    We measure the result, fix any regression, and leave the benchmarks and runbooks in your repo.

ENGAGEMENTS · GPU PERF

GPU AUDIT

1–2 WEEKS  ·  €1,000 ONLY IF WE FIND A SPEED-UP

We profile your real workload and hand back a written report: where the GPU time goes, and which fixes pay off. No speed-up worth fixing, no invoice. And if we do the work, the €1,000 comes off its price.

  • Profiling on your workload, not a demo
  • Fixes ranked by time and € saved
  • Baseline benchmark you keep
NSIGHTPYTORCH PROFILERDCGMCUDATRITONNCCL

GPU OPTIMISATION

2–6 WEEKS  ·  PRICED ONE OF TWO WAYS, FROM THE AUDIT
CLOUD GPUS · RECURRING WORK

15% of first-year savings, measured in GPU-hours per run over 30 days. Paid once.

OWN HARDWARE · ONE-OFF RUN · SPEED IS THE GOAL

Fixed price, quoted from the audit. The scope is known by then.

400 → 150 GPU-hours a run, 20 runs a month at €2.50/GPU-hour: saves €12,500/mo → fee €22,500, once.

YOUR CLUSTERYOUR REPOYOUR BENCHMARKS

QUESTIONS

What if the audit finds nothing worth fixing?

Then you pay nothing. The report still says so, with the numbers behind it, and you keep the baseline benchmark.

We own our GPUs. How do you get paid?

A fixed price, quoted from the audit. There is no cloud bill to take a share of, so we price the work, not the saving.

Ask your own question

Answered by AI from what is on this site. It can be wrong, so for anything binding, ask a human. Please don't enter personal data. Privacy

THREE WAYS IN · ONE TEAM

INFERENCEMake serving cheap.Lower cost per token, lower latency, same answers. GPU PERFMake the hardware fast.Profiling, kernels, scaling. More work per GPU-hour. PRIVATE AIMake it yours.Your own model, on your data, on your hardware.

Send us a profiler trace, or just the GPU bill.

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