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Together AI, Runpod, and Nebius capitalize on AWS GPU shortage by offering alternative GPU cloud access to AI startups seeking compute without long-term lock-in.

Hyperscaler GPU scarcity accelerates neocloud adoption among startups; fragmented supply ecosystem matures and diversifies risk.
Trade pressSlicast · July 16, 2026 · US · Source: Google News
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Alternative GPU cloud providers are gaining market share as hyperscaler supply constraints push AI companies to seek alternative compute resources. Together AI, Runpod, and Nebius have emerged as key players in this shift, positioning themselves as viable alternatives for AI startups requiring significant compute capacity.

Together AI operates as an NVIDIA Cloud Partner, offering H100 clusters at $6.79 per hour on-demand or $4.55 per hour per GPU on reserved pricing. The company was reportedly in advanced funding discussions at a $7.5 billion valuation as of March 2026.

Runpod has built a diverse global infrastructure, supporting more than 30 different GPU types and operating a per-second billing model that offers pricing flexibility for variable workloads.

Nebius has made aggressive infrastructure investments to capture demand. The company formalized a partnership with NVIDIA on March 11, 2026, committing to deploy more than 5 gigawatts of NVIDIA systems by the end of 2030. As part of this expansion, Nebius is investing approximately $2.3 billion to construct UK-based capacity with a target of 65 megawatts by 2027, leveraging NVIDIA's Blackwell Ultra infrastructure.

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Together AI, Runpod, and Nebius capitalize on… · Slicast