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Join Steven Dickens, CEO & Principal Analyst at HyperFRAME Research, in this in-depth interview with Mike Maniscalco, the newly appointed CEO of QumulusAI. In this conversation, Mike shares his perspective on: Why infrastructure and power generation are the real bottlenecks in AI. How QumulusAI is tackling GPU-as-a-Service with a “full stack” approach. The shift from massive training clusters to scalable inference for real-world AI use cases. QumulusAI’s roadmap for the next 3, 6, and 12 months — and beyond. From hyperdistributed infrastructure to modular data centers and power generation strategies, this interview dives into how QumulusAI plans to accelerate the future of AI compute. Key Takeaways The AI market is still in its early innings, with explosive demand for compute ahead. Power availability is as critical as GPUs for scaling AI infrastructure. Hyperscale is important for training, but inference is the long-tail opportunity. QumulusAI is focused on delivering compute fast, cost-effectively, and resiliently. The company’s differentiation lies in its full-stack approach: power, infrastructure, and software 👉 Don’t forget to like, subscribe, and hit the notification bell to stay updated with HyperFRAME Research’s latest insights on AI, cloud, and enterprise tech. Check out more interviews with top leaders shaping the future of technology. #QumulusAI #AIInfrastructure #GPUs #AICompute #Cloud #AI #HyperFRAMEResearch #StevenDickens #AITrends