Your GPU infra team.

You ask. Agents do the rest.

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# infraTeam Infra
M

Maya

@teaminfra need 8 more H100s for evals, today

T

Team Infra APP

$3.20/GPU-hr today, or $2.40 if you can wait until Thursday.

TodayThursday

T

Team Infra APP

  • Sent back a node with a slow GPU. Unpaid.
  • Replacement at full speed
  • Added to your cluster

Ready: sbatch -p evals eval.sh

Tuesday

T

Team Infra APP

While you slept: GPU 3 on n2 overheated at 2:12. Moved your run to n4, lost 3 min. Provider has the evidence.

You rent GPUs for models.
Not to babysit them.

4 nodes · 32 GPUs · one training job n2 · GPU 3 · 91°C · run 31% slower

2 a.m.

Your run slows down. Your code didn't change.

One GPU

is running hot. Nothing alerts. The other 31 wait.

You pay

for all 32.

It happens even with the biggest labs.

10–15%

of training time lost to failures.

Meta, 2024

10.4%

of GPU-hours wasted by slow GPUs.

ByteDance, 2025

1.34×

longer jobs, from slow but working hardware.

Alibaba, 2025

They have infra teams for this. Do you?

And your provider's contract?

We read seventeen of them.

  1. 16 pay nothing for a slow GPU.
  2. 0 promise a repair time.
  3. 17 make you find the problem, and prove it.

Public terms, October 2026. Enterprise contracts may differ.

Next week looks like this.

YouTeam Infra
Mon

Asked @teaminfra for 8 more GPUs.

  • Got them. One GPU slow: sent back, unpaid.
  • Replacement tested. Added to your cluster.
Tue

Asleep.

  • GPU 3 on n2 running 31% slow.
  • Run moved to n4. Resumed from checkpoint.
  • Wrote to the provider. Evidence attached.
  • Followed up.
  • Told you what happened, over coffee.
Wed

Asked why the run got slower.

  • Not the GPUs: data loading. Fixed.
  • n2 back. Re-tested before trusting it.
  • $845 credit claimed. You tapped send.
Thu

  • Nothing to report.
Fri

Shipped a checkpoint.

    Sun

    • Posted your weekly page.
    Example weekGPU tasks 11Done by your team 0

    Tuesday, 2:16 a.m.

    Your provider got an email.

    With evidence. And a follow-up at 6:16.

    Tosupport@provider.example

    SubjectNode n2: GPU 3 running 31% slow

    Hi,

    Since 02:12, GPU 3 on node n2 has run 31% slower than its peers: clock capped at 70%, 91°C. Logs attached.

    Please repair or replace the node, and credit the hours it's out, per your SLA.

    Thanks,
    Team Infra

    dcgm-diag.loggpu-benchmarks.csvSent 02:16

    Sunday, 6:00 p.m.

    One page a week.

    Two minutes. Back to your models.

    Week of October 1932 GPUs · 4 nodes
    GPU-hours paid for
    5,376
    Lost to bad hardware
    14
    Problems found
    1, fixed
    New nodes tested
    2, 1 sent back
    Provider took
    33 hours
    Credit claimed from provider
    $845

    Second slow GPU from this provider this month. Next time, we swap the node.

    Price check · H100
    You pay$3.20/GPU-hr
    Elsewhere · faster repairs$2.40/GPU-hr
    Save ~$220k/yr

    Examples. Names and numbers are illustrative.

    Everything a GPU infra team does.
    Without the hire.

    Gets you GPUs

    • Finds capacity when you ask
    • Picks the provider on price and record
    • Tests every node before you pay
    • Sets it up in your cluster

    Keeps your nodes healthy

    • Catches slow GPUs, not just dead ones
    • Moves your run off a bad node
    • Tells slow hardware from slow code
    • Answers your team in Slack

    Deals with your provider

    • Files tickets with evidence
    • Follows up until it's fixed
    • Re-tests every repair
    • Claims your credits
    • Swaps nodes that keep failing

    Keeps your bill honest

    • Checks your price against the market
    • Tracks every provider's record
    • Plans the move when it's worth it

    Nothing to install. No one to hire.

    Add @teaminfra to your Slack.

    First month free. After that, you pay only if we save you more than we cost.

    For teams renting 2–8 GPU nodes, on any cloud.

    Start your free month.

    Tell us what you rent. We reply within a day.

    We'll only use this to reply to you.

    What exactly do you do?

    Everything a GPU infra team does: get GPUs, test them, keep them running, handle your provider, keep the bill honest.

    Who does the work?

    Agents, end to end. An engineer steps in only when they can't.

    How do we work with you?

    In Slack, as @teaminfra. Anything that costs money or goes out in your name waits for your OK.

    What happens in the free month?

    We take over your nodes. You get a page every week. Then you decide.

    Is this instead of hiring an infra engineer?

    For the GPU side of the job, yes. Your engineers stay on your models.

    What access do you need?

    SSH to your nodes and a Slack channel. We never look at your data, code or models.

    Is this a monitoring tool?

    No. Tools send alerts. We do the work.

    Is this consulting?

    No. Software does the work, so it's there at 2 a.m., every night.

    Does this put us at odds with our provider?

    No. Clear evidence gets you faster fixes.