How Upstage, Lablup, and its consortium are powering a national frontier AI model with Backend.AI
Keeping large-scale training resilient: An end-to-end approach
“We spent our time on development—not infrastructure—and Backend.AI handled the rest”
— Kyle Yi, Consortium Lead, Upstage
Make training efficient with Backend.AI anywhere, anytime, at any scale
The Upstage consortium used Backend.AI as its infrastructure backbone to tackle the operational demands of a large-scale GPU cluster. Backend.AI orchestrated hundreds of GPUs across distributed nodes while preserving visibility and control over the entire training environment. It enabled the consortium to maintain continuous model-development cycles, significantly reducing the effort required for infrastructure maintenance.
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