"We believe AI demand continues to outpace infrastructure supply, and we designed our hyperspeed and capital-efficient model to close that gap. This direct listing provides us with the platform to scale available infrastructure, engage with a broader investor base and continue delivering accelerated compute to the enterprises building the future of AI." — Mike Maniscalco, CEO of QumulusAI. qumulusai.com/articles/qumul…

The most expensive GPU in your organization isn't the most powerful one. It's the one sitting idle on a commitment you can't unwind. Enterprise AI cost conversations focus on price-per-hour. But the real economic drag is structural: 1. Cost opacity that kills experimentation. 2. Commitment models that don't match AI workload patterns. 3. An invisible innovation tax where teams stop proposing ambitious projects because the infrastructure economics feel too uncertain. We dig into all three (and what to do about them) in our latest post. > Read the full piece: qumulusai.com/articles/the-m…

22,288 GPUs. That’s 2,786 AI compute nodes deployed across our hyperdistributed network. And they’re available for reservation now. What’s more? Additional GPU capacity can be secured through advance planning and direct collaboration with QumulusAI. If AI infrastructure is on your 2026 roadmap, the conversation starts now. Contact Sales at QumulusAI.com #AIInfrastructure #GPUCloud #HPC #EnterpriseAI #ComputeAtScale #QumulusAI GPU models and delivery timelines subject to change based on supply chain conditions and configuration demand.

📢 Our dedicated 16-node NVIDIA B300 cluster reservations are available—again! • 128× NVIDIA B300 GPUs • 288GB VRAM per GPU (36.9TB total) • 3200 Gbps node-to-node interconnect Designed for: • Full-scale LLM and multimodal training • Multi-node fine-tuning and adaptation • Memory-intensive, long-context workloads • Training models up to ~200B parameters • Generative video pipelines Reservation pricing as low as $3.50/GPU/hr. Learn more > qumulusai.com/nvidia-b300-sx… #B300 #GPU #Cluster #AI

AI outpaces today’s infrastructure. Hyperspeed compute closes the gap: distributed, modular GPU access without long buildouts or procurement drag. We're QumulusAI, and we're breaking AI’s biggest barriers. #AI #Hyperspeed #GPU #Infrastructure

AI moves fast. Hyperscalers don’t. Get up and running with a bare metal B200 server that you actually control. It's part of QumulusAI Cloud Pure — HPC for developers who can’t afford to slow down. #AI #ML #HPC #GPUCloud #QumulusAI

One cloud went dark today. The sky didn’t. #AIInfrastructure

AI’s biggest breakthroughs shouldn’t be limited to the few who can afford bloated hyperscaler contracts. At QumulusAI, vertical integration means more than owning servers and data centers—it also means lowering costs, improving efficiency, and opening the door for more developers, researchers, and startups to build the future of AI. In this short clip, QumulusAI advisor Willie Tejada (@wtejada223) shares how making GPU infrastructure accessible is central to our mission.

Tomorrow’s traditional data centers are still being built for yesterday’s GPUs. At QumulusAI, we take a different approach: sub-50MW data centers that deploy with hyperspeed. We're talking months, not years. That means: ⚡ Agility to match the pace of NVIDIA’s release cycle. 🌎 Economic development spread across multiple communities. 💧 Cooling strategies tuned for each generation of compute. In this short clip, Chris Bissell explains why nimble beats massive in the race to power the future of AI.

Future workloads won’t fit yesterday’s stack. Power density is climbing, toolchains are shifting. Ryan DiRocco breaks down how we integrate tomorrow’s tech constraints with today’s capabilities so our clients can scale seamlessly into the future. #DataCenters #AIOps #HPC

🚀 Breaking AI’s biggest barriers doesn’t always mean more compute. Sometimes, the real breakthrough comes from creating the space where collaboration thrives. At QumulusAI, we’re building an ecosystem that unites innovators — from energy to AI — breaking down silos so everyone can move faster, together. Chairman of the Board, Steve Gertz, shares how our flexible infrastructure empowers stakeholders to connect, innovate, and accelerate progress.