Together AI is a cloud platform for running, fine-tuning and serving open-source models at speed and low cost, with an OpenAI-compatible API, dedicated endpoints and GPU clusters for training. It targets teams that want open models in production without managing their own infrastructure.
ML PlatformsUsage-basedEstablishedFrom Pay-as-you-go per token / per GPU-hour
OpenAI-compatible APIFine-tuning & training clustersDedicated endpoints200+ open models
Strengths
＋Fast, cost-effective inference for a huge range of open models
＋OpenAI-compatible API makes switching low-friction
＋Fine-tuning and dedicated GPU capacity in one place
Limitations
－You own more of the model-selection and eval work than with a closed API
－Enterprise compliance surface still maturing vs hyperscalers
－Costs need monitoring at high token volumes
Evidence behind this score
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1 of 3 claims below are past their re-check window. Pricing, availability and security details move fast, so confirm those with the vendor.
Claim
Source
Checked
Provides inference, fine-tuning and training for open-source models via an OpenAI-compatible API
Together AI product documentation
May 2026
Usage-based pricing per token and per GPU-hour· re-check
Together AI pricing page
May 2026
Signed a multi-year $240M deal with IBM to deploy a large Nvidia HGX B300 inference cluster on IBM Cloud, arriving Q1 2027, for its AI Native Cloud platform; closed an $800M Series C at an $8.3B valuation the month before
IBM puts $240M into a dedicated Together AI inference cluster on IBM Cloud
IBM signed a multi-year, $240 million deal with Together AI to deploy a large cluster of Nvidia HGX B300 systems — eight B300 Blackwell Ultra GPUs per node, roughly 2.3TB of HBM3e memory each, linked over Spectrum-X Ethernet — on IBM Cloud, arriving Q1 2027. Together AI will use it to run inference for open-source models under its AI Native Cloud platform, a month after closing an $800M Series C at an $8.3B valuation. IBM gets a neocloud-style inference business it didn't have; Together AI gets an enterprise on-ramp it can point at Nvidia's newest silicon without owning the capex.