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How Scaled Cognition uses Together AI

3–4 months

“3–4 months of cumulative research time recovered”

As published on together.ai. Captured by usedby on Oct 3, 2026.

What happened

Scaled Cognition trains its Large Action Models (APT-1) on Together AI GPU Clusters, using bare-metal B200 and H200 GPUs with direct SSH access to run Slurm and a custom multi-node training stack.

Summary written by usedby from the source page, in English. The figures are those of Together AI and Scaled Cognition, not ours.

  • ~50%“~50% cost savings vs. other compute providers”

As a result, they recovered an estimated 3–4 months of cumulative research time previously lost to infrastructure failures and achieved ~50% cost savings vs. other providers

From the page. together.ai, captured Oct 3, 2026

We spent 3-4 months blocked by infrastructure failures with previous providers—debugging networking issues that had nothing to do with our models. Together AI's cluster has had zero training-blocking issues since we switched. That reliability, combined with significant cost savings compared to other providers, completely changed our development velocity. But honestly, the responsive support is what keeps us here: shared Slack channel, problems resolved within hours, smooth scaling of our training cluster as our needs have been expanding. Together AI lets us focus on building breakthrough models instead of fighting infrastructure.

Anthony Platanios, VP of Research, Scaled Cognition. Source, captured Oct 3, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 3, 2026.

  • The figure: 3–4 monthsCheckedPrinted word for word on the page, near the name of Scaled Cognition.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Scaled Cognition.
  • The numbers in our summaryCheckedEach one is printed on the page.
  • Scaled Cognition uses Together AICheckedConfirmed line. Latest check across sources: Oct 3, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

6דDecagon achieved nearly 6× cost reduction per turn compared to closed models like GPT-5 mini.”Decagon uses Together AI. Another customer of Together AIunder two weeks“Together’s team shipped FP8, FP4, and INT4 quantized variants of the Cogito models in under two weeks”Deep Cogito uses Together AI. Another customer of Together AI70%“70% cost reduction for customers switching to open-source models on Together GPUs”Runware uses Together AI. Another customer of Together AI