The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense amounts of attention and capital for their ability to offer distributed compute capacity.

But most companies still store data with the big three cloud providers, AWS, Google Cloud, and Microsoft Azure, whose storage systems were built to keep data close to their own compute resources, not spread across multiple clouds or regions.

“Modern AI workloads and AI infrastructure are choosing distributed computing instead of big cloud,” Ovais Tariq, co-founder and CEO of Tigris Data, told TechCrunch. “We want to provide the same option for storage, because without storage, compute is nothing.”

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