TAHO has closed a $3.5 million seed round to speed the advancement of its next-generation distributed compute platform. Founded by former leaders from Meta, Google, and Snap, TAHO provides ultra-fast performance for AI and high-intensity workloads while costing significantly less than conventional cloud solutions.
“We all see AI workloads are exploding, but infrastructure buildouts cannot keep pace,” said Todd Smith, CEO and Co-Founder of TAHO. “We started TAHO because the world needs a better way to compute that’s universal, faster and affordable enough for every AI-driven company to grow profitably.”
Universal, Fast and Affordable
TAHO is a modern infrastructure compute platform that transforms all your cloud compute resources into a single intelligent supercomputer, a tightly interwoven fabric that dynamically shares resources in perfect coordination. Large-scale workloads are decomposed into discrete tasks, distributed across available compute capacity, and reassembled in real time. Results persist globally, eliminating redundant work. The payoff is straightforward: faster, simpler execution and lower cost. Compute jobs finish up to 10× faster, while costs drop by as much as 90%.
“Traditional orchestration frameworks weren’t designed for the demands of modern AI and machine learning at scale,” said Michal Ashby, CTO and Co-Founder of TAHO. “TAHO’s federated architecture unifies machines, clusters, and nodes into a single intelligent compute fabric that optimizes training, inference, and data movement for peak performance and efficiency.”
A New Compute Platform for the AI Era
Unlike container-based orchestrators such as Kubernetes, TAHO operates as a federated compute layer with decentralized execution, enabling massive performance gains and cost reductions for AI-heavy organizations. The solution introduces a new paradigm to the world of infrastructure compute, right at a time when the world is grappling with how to support the parabolic demand growth being driven by AI and high performance compute.
The company frames its platform as a departure from container-centric systems like Kubernetes. Instead of managing pods and services, TAHO acts as a decentralized execution layer designed specifically for AI’s high-parallelism and high-throughput requirements. The timing is ambitious. AI’s demand curve is rising at a pace that has strained cloud capacity, chip availability, and data center energy budgets.
The seed round was backed by strategic angels and industry insiders betting on both the founders’ pedigree and the market’s appetite for new compute architectures. The funds will support team expansion and early customer deployments ahead of a planned broad release in 2026.
“Our goal is simple — help everyone get more computing out of the cloud and data centers they already use,” Smith added. “We’re building the performance layer that makes AI and complex software run faster, cost less, and easier to manage.”
To learn more about how TAHO is reshaping AI performance and efficiency, visit the company’s website and explore its innovative compute platform.
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