QumulusAI

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

Day 2 of NVIDIA GTC found our team presenting the FACTS Diagnostic Framework and Capacity Planning as a Service on the convention floor inside the Cisco booth. Followed that evening by a partner dinner and distillery tour with Gruve. Could not be more proud of the company we keep at QumulusAI!

Day 1 of NVIDIA GTC was all about the story of tomorrow. Jensen Huang revealed the roadmap for NVIDIA's AI architecture, and our own Ryan DiRocco revealed the three principles guiding how QumulusAI will deploy it: 🌐 Hyperdistribution 💠 Hyperconnection 💨 Hyperspeed Catch the full recap video and stay tuned for more updates from our team at NVIDIA GTC 2026.

If you think the biggest risk to your AI strategy is a failed pilot, consider the bigger opportunity cost of a project that never gets proposed. When teams know GPU provisioning takes weeks and scaling requires procurement cycles, they adjust. They don't push harder, they pull their punches. Our latest post explores the pattern, and what it takes to break it. > Read the full article: qumulusai.com/articles/infra…

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…

If your infrastructure is optimized for 2015-era web traffic, it will struggle to support 2026-era intelligence. The AI bottleneck isn’t models. It’s infrastructure. Good perspective from Zeus Kerravala in @SiliconANGLE. siliconangle.com/2026/03/05/inf…

Here's the question nobody's asking at the infrastructure level: was your cloud built for AI — or for an era before it? The hyperscale model was designed for information-scale workloads. Serving web pages. Processing transactions. Streaming content. It solved those problems brilliantly. But AI-native workloads — training, inference, fine-tuning — have fundamentally different requirements. Burst capacity. Rapid provisioning. Iterative scaling. And the architectural mismatch between what enterprises need and what their infrastructure was designed to deliver has quietly become the primary bottleneck for AI velocity. We collaborated with HyperFRAME Research on a new research brief examining this gap — and introducing a diagnostic framework for evaluating where your infrastructure may be holding back your AI development. Read our full breakdown and download the report: qumulusai.com/articles/enter…

"If you treat agents like simple API calls, you get runaway spend, unpredictable latency, and brittle systems." — Mark Jackson, Senior Product Manager at QumulusAI The shift from running isolated AI models to managing large-scale, autonomous AI agent ecosystems requires a fundamental transformation of infrastructure to handle complex, bursty, and stateful workloads. #AIagents #GPU #AI #AIinfrastructure

Yesterday at Metro Connect USA, CEO Mike Maniscalco led the AI Infrastructure Meetup, a private roundtable with hyperscalers, neo-cloud providers, and data center operators on what it takes to deploy AI capacity in practice. The discussion reflected a clear shift. The bottleneck is no longer GPUs alone, but power, interconnection, and proximity to users. The companies in that room are the ones determining how that infrastructure gets built. QumulusAI is designing for that reality: modular, distributed capacity deployed closer to demand rather than concentrated in a few traditional hubs. Thanks to @capacitymedia for hosting!

Governance depth matters as you scale. QumulusAI has appointed Dr. Homaira Akbari to its Board of Directors, where she will serve on the Audit Committee and the Nominating & Corporate Governance Committee. Dr. Akbari brings experience spanning AI, cybersecurity, energy transition, and public-company board leadership. She currently serves as President & CEO of AKnowledge Partners and holds board seats at Banco Santander, Landstar System, and Babcock & Wilcox Enterprises. Dr. Akbari says, “QumulusAI is tackling one of the defining infrastructure challenges of this decade. I’m pleased to guide the company as it scales responsibly and prepares for its next stage of growth.” Read the full announcement > qumulusai.com/articles/qumul…

Leadership clarity matters as you scale. As QumulusAI enters its next phase of growth and execution, we are excited to announce Steve Gertz is now focused full-time on his role as Chief Growth Officer at the company. Transitioning away from his role as Chairman of the Board, Gertz is now responsible for capital markets engagement, strategic customer and partner development, executive leadership support, and evaluation of inorganic growth opportunities. Gertz says, “As QumulusAI scales, growth must keep pace with infrastructure velocity. My conviction in the company’s vision and execution is what led me to join the executive team, where I can focus on accelerating revenue, building strategic relationships, and expanding the ecosystem around our platform.” Read the full announcement > qumulusai.com/articles/qumul…

We’re sharing an update on our leadership and board as QumulusAI enters its next phase of execution and growth. Mike Maniscalco, CEO, has been appointed Chairman of the Board. Steve Gertz transitions fully into his operating role as Chief Growth Officer. Homaira Akbari joins our Board of Directors. These changes clarify governance, strengthen day-to-day execution, and add experienced public-company and AI leadership as we scale our hyper-distributed AI cloud and move toward the public markets. Read the full announcement > qumulusai.com/articles/qumul…

The AI Arms Race: Decentralizing the Compute Monolith QumulusAI is hoping that the narrative that AI leadership is reserved exclusively for the "Big Four" hyperscalers is beginning to fracture starts to play out. The NeoCloud crowd is asserting that, accessing cutting-edge silicon meant adhering to a rigid playbook: multi-year contracts, prohibitive upfront capital expenditure, and the mercy of a "wait-your-turn" queue. Are we now entering the Neocloud Era, characterized by a shift toward modularity and financial innovation that challenges the centralized status quo? QumulusAI is certainly betting on this reality playing out. The QumulusAI Shift QumulusAI’s recent deployment of over 1,100 NVIDIA Blackwell GPUs is significant, but the hardware is only half the story. While Blackwell offers a generational leap in inference efficiency and training costs, the true disruption lies in the underlying financial and physical plumbing. Evolution of Capital Velocity: By leveraging a $500M non-recourse facility via USD AI, QumulusAI is utilizing a blockchain-native credit market to turn GPUs into collateral. This allows for a phased, modular expansion that bypasses the traditional bureaucratic hurdles of infrastructure financing. Distributed Architecture vs. Centralized Monoliths: By eschewing the "mega-datacenter" model in favor of a hyper-distributed approach, they are effectively mitigating the geographical and physical bottlenecks that often plague massive, centralized cloud hubs. Democratizing the ROI Factor: Success in the next phase of AI isn't just a technical challenge; it's a structural one. By lowering the entry barrier for Blackwell-grade compute, QumulusAI is looking to enable enterprises to transition from stalled "AI pilots" to tangible ROI without paying what they are calling the "hyperscaler tax." Why This Matters For CIOs looking to escape the constraints of traditional cloud providers and developers requiring scale without the red tape, this shift marks a turning point. Infrastructure is no longer defined solely by hardware specs; it is defined by financial flexibility and network agility. Mike Maniscalco and the QumulusAI team are beginning to prove that world-class AI clouds are no longer the exclusive domain of trillion-dollar balance sheets. Stephen Sopko and I are currently writing a Research Note to deep dive on this announcement and its implications for the broader market. So look for that in the next 48 hours. In the meantime, check out the full press release: lnkd.in/eCKXAJeE

1,144 NVIDIA Blackwell GPUs. Online. Now. ⚡️ QumulusAI has completed its first drawdown under our $500M @USDai_Official financing facility — deploying Blackwell-powered infrastructure fast, modular, and capital-efficiently. No hyperscaler bottlenecks. No rigid long-term commitments. Just next-generation compute at hyperspeed. And we're just getting started. A second 384-GPU B300 cluster is scheduled for late March, with 20,000+ GPUs targeted by year-end. This is what Breaking AI's Biggest Barriers looks like in practice. 🔗 qumulusai.com/articles/qumul… #AI #GPUCloud #NvidiaBlackwell #AIInfrastructure #QumulusAI #GenerativeAI #CloudComputing #USDA

Hollywood moves fast. Our GPUs deploy even faster. 🎬👨‍💻 Jim Marino and Dan D’Alessandro are onsite at the HPA Tech Retreat in Rancho Mirage this week. We’re bringing NVIDIA RTX Pro 6000 (Blackwell Server Edition) clusters online this quarter for the rendering, simulation, and VFX workflows of Hollywood Professional Association members. Want to talk capacity and timing? Email Jim and Dan to get some time onsite: jim.marino@qumulusai.com dan.dalessandro@qumulusai.com Or connect on LinkedIn. #HollywoodProfessionalAssociation #HPATechRetreat #MediaAndEntertainment #StudioTech #AIInfrastructure #GPUs

✨🏥 What an inspiring few days at the 2026 Woven Innovation Summit! We were proud to join as a sponsor alongside leaders in healthcare and life sciences, gathering for two days of meaningful collaboration, bold thinking, and real innovation.  At Woven Health Collective, human-centric technology — from AI tools and powerful analytics to a scalable HCP engagement platform — is driving how teams enhance creativity, streamline work, and unlock new possibilities across healthcare.  Partnering in spaces like this is exactly where the future of innovation takes shape: strategic conversations, cross-functional connection, and a shared commitment to advancing what’s next for patients and providers alike.  Grateful to everyone who made the summit a success — and energized for what comes next. 🚀 #QumulusAI #HealthcareInnovation #AIinHealthcare #Collaboration

Over 2,000 B300 nodes are coming to QumulusAI's fleet in the second half of 2026! This phase expands our next-generation infrastructure footprint, supporting customers planning for significant growth in model size, throughput, and operational complexity. Additional GPU capacity can be secured through advance planning and direct collaboration with QumulusAI to support long-term, contracted infrastructure requirements. If AI at scale is part of your 2026 strategy, now is the time to plan for what comes next. Contact Sales at QumulusAI.com #AIInfrastructure #GPUCloud #HPC #EnterpriseAI #ComputeAtScale #QumulusAI Disclaimer: GPU models and delivery timelines subject to change based on supply chain conditions and configuration demand.

With AI reshaping rendering, simulation, and content pipelines, the HPA Tech Retreat provides a rare setting for studio leadership to align creative ambition with the infrastructure required to support it. Our sales team, Jim Marino and Dan DAlessandro, will be on site at the Hollywood Professional Association Tech Retreat in Rancho Mirage, CA February 15–19, 2026. This quarter, we’re bringing NVIDIA RTX Pro 6000 Blackwell Server Edition clusters online. They're designed for studio-scale AI rendering, advanced simulation, and production-grade generative workflows. If you’re attending HPA and thinking about how to secure the right compute foundation for upcoming productions, Jim and Dan would welcome the conversation. jim.marino@qumulusai.com dan.dalessandro@qumulusai.com Or connect with them on LinkedIn to set up time onsite. Looking forward to the discussions in Rancho Mirage.

3,872 GPUs. B300 and RTX Pro 6000 capacity available for reservation across Q1 and Q2 2026, delivered through QumulusAI’s hyperdistributed infrastructure. This initial phase supports early-stage training, fine-tuning, and production workloads requiring dedicated, high-performance AI compute. Planning ahead unlocks more. Additional GPU capacity can be secured through advance planning and direct collaboration with QumulusAI to support contracted infrastructure requirements. If AI infrastructure is on your near-term (or longer-term) roadmap, now is the moment to engage. Contact Sales at QumulusAI.com #AIInfrastructure #GPUCloud #HPC #EnterpriseAI #QumulusAI #B300 #RTXPro6000 #BlackwellUltra #Blackwell GPU models and delivery timelines subject to change based on supply chain conditions and configuration demand.

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.

Now that Microsoft, AWS, and Google all have their own custom AI chips, what does this change for AI teams? Mark Jackson breaks it down in this week's "The QA." #GPU #AI #Chips #NVIDIA