In just weeks, they deployed 510 NVIDIA DGX systems — and turned an empty room into a launchpad for large language models.
This isn’t about hardware.
It’s about how speed, collaboration, and vertical vision changed the game.
• 2 massive DGX SuperPOD clusters
• 90+ FP64 gigaflops per cluster
• 1000s of cables, 100s of switches
• And the firepower to train serious LLMs
Every day saved = $1M in ops cost avoided.
That’s NVIDIA’s math — and SoftBank’s reality.
By shaving off 10 days, they didn’t just finish early.
They saved millions, accelerated innovation, and launched Japan’s most strategic AI infrastructure to date.
This is the same principle we bring to enterprises at Helpforce.ai:
✅ Speed to deployment
✅ Multi-agent coordination
✅ Vertical AI use cases (not generic models)
✅ Digital twin testing before real-world ops
✅ Immediate ROI, not just theoretical power
SoftBank is now building their own LLMs.
But they’re also opening the doors — creating a platform for other companies to build, test, and scale.
That’s what we believe in too.
At Helpforce, we help enterprises build their own vertical AI stacks — faster, leaner, and tuned to their industry.
We’ll show you how.
