Is this really an RL problem or more like marketing?

I found this on the newsletter. It is two months old.

“Hammerhead AI has emerged from stealth after raising a $10 million seed round to address power constraints in AI data centers. The company is tackling the problem of GPUs running at just 30-50% of their potential capacity due to power limitations. Their solution is the ORCA platform, which uses reinforcement learning to orchestrate workloads and claims to boost token throughput by up to 30%.

The inefficiency compounds with AI workloads. Training runs and batch inference are latency-tolerant (they don’t need instantaneous response), yet data centers treat them like mission-critical transactions. Without intelligent orchestration to reshape and shift flexible workloads around peaks, enormous compute capacity sits stranded. Data centers are simultaneously power-constrained and sitting on vast unused capacity they can’t unlock.

This gap between provisioned capacity and actual usage represents one of the most interesting economic opportunities in the entire compute value chain.

Hammerhead AI is turning this hidden capacity into usable compute. Their technology applies the founders’ experience orchestrating gigawatt-scale virtual power plants to AI infrastructure, dynamically coordinating rack-level power, GPU load, cooling, UPS systems, and on-site storage.”