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Together GPU Clusters

by Together AI · Fine-tuning & Training , Inference & Serving

6 companies with evidence on file — every claim below links to its source.

Cartesia

Trains voice models on multi-node clusters scheduled via Slurm.

High confidence

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  • “Cartesia also uses Together’s H100 80GB clusters for model training, with multi-node workloads scheduled via Slurm.” — together.ai, Jul 2026

Source last verified Jul 27, 2026 Full Cartesia stack →

Cursor (Anysphere)

Runs production inference on dedicated NVIDIA Blackwell GPU clusters.

High confidence

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  • “Cursor partnered with Together AI to deploy production inference on NVIDIA Blackwell” — together.ai, Jul 2026

Source last verified Jul 27, 2026 Full Cursor (Anysphere) stack →

Deep Cogito

Trains large open-weight models on multi-node GPU clusters.

High confidence

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  • “Deep Cogito uses Together for customizable H100/H200 GPU clusters, reliable long-run training infrastructure” — together.ai, Jul 2026

Source last verified Jul 27, 2026 Full Deep Cogito stack →

Latent Health

Trains clinical models with multi-node RL and long-context runs.

High confidence

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  • “Latent Health chose Together Instant Clusters for clinical AI training” — together.ai, Jul 2026

Source last verified Jul 27, 2026 Full Latent Health stack →

Runware

Provides on-demand GPU capacity for rapid model deployment.

High confidence

Receipts · 1

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  • “Together provides immediate access to NVIDIA H100s, H200s, and B200s without long-term commitments.” — together.ai, Jul 2026

Source last verified Jul 27, 2026 Full Runware stack →

Scaled Cognition

Provides bare-metal GPU infrastructure for custom model training.

High confidence

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  • “How Scaled Cognition Trains APT-1 on Together AI GPU Clusters” — together.ai, Jul 2026

Source last verified Jul 27, 2026 Full Scaled Cognition stack →