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

Tech Square is one of the densest AI ecosystems in the country. As of June 1, QumulusAI is headquartered in the middle of it. New corporate HQ inside The Biltmore Innovation Center at @GeorgiaTech. Proximity isn't a perk. It's the strategy. > Read More: qumulusai.com/articles/qumul…

The GPU problem isn't supply. It's capital. QumulusAI just closed $26M in lease financing for a 50-node NVIDIA B200 cluster with TFC (subsidiary of Kingsbridge Holdings). Built to scale. Built to repeat. > Read more: qumulusai.com/articles/qumul…

Our clients are working across different hardware, network stacks, and deployment requirements. We believe that means the ability to test, prototype, and validate in realistic environments is an essential advantage. In this conversation with Lukas Gentele from @vcluster, Ryan DiRocco talks about building an infrastructure lab environment that makes that kind of work easier. As the stack keeps changing, real-world validation becomes part of the value. > Watch the full conversation: youtube.com/playlist?list=…

AI infrastructure is hard to evaluate when most of the critical pieces are invisible. That’s part of what makes the @DDNintelligence AI Factory on Wheels interesting. At NVIDIA GTC 2026, Mike Maniscalco, CEO of QumulusAI, joined James Coomer, SVP Product at DDN, for a conversation inside the nationally touring DDN AI Factory on Wheels. The exhibit brings AI infrastructure to life through real-world use cases, digital simulations, blueprints, containers, NVIDIA microservices, and deployment models. For enterprise leaders, that matters. Because getting from “we need AI” to “we have a working AI factory” requires more than access to GPUs. It requires a clearer understanding of how compute, storage, software, pipelines, and deployment strategy come together. QumulusAI is featured alongside DDN and other technology providers in the AI Factory on Wheels ecosystem as enterprises look for faster, more flexible paths to production AI. Watch the full conversation on YouTube: youtu.be/raOQgncuHko Contact QumulusAI sales: qumulusai.com/contact

"This new $45 million facility is less about the total dollar amount and more about the velocity of capital. In an industry where procurement delays can stretch into several quarters, the ability to lock in hardware and power capacity ahead of the curve is a vital tactical advantage." — @StevenDickens3 | CEO @HyperFRAME_Res > Read the full analyst article: hyperframeresearch.com/2026/04/24/can…

You'll see a lot of AI infrastructure deployment case studies where everything went perfectly smooth — no friction. That's not how this story started. In this conversation with @vcluster, we discuss an early customer engagement that came in with real urgency: a bare metal environment, a Kubernetes requirement, and a short window to get a proof of concept stood up. This is the story of how real value was created by turning an urgent implementation into a repeatable delivery motion that serves future clients with less friction.

AI roadmaps don’t fail because of ambition. They fail because compute shows up late. QumulusAI secured a $45M convertible note facility from ATW Partners, with $15M funded to date, to accelerate GPU procurement and infrastructure deployment. For enterprise AI teams, speed to live cluster matters. That’s the story. > Read more: qumulusai.com/articles/qumul…

Serious AI teams are still being forced to make business decisions through infrastructure constraints they did not choose. That is part of what makes speed so consequential in this market. In this conversation with vCluster, we talk about why infrastructure speed is no longer just an operational advantage. It shapes how quickly teams can deploy, test, train, fine-tune, and move into production. When customers expect a cloud-like experience, but the underlying hardware market is constrained and supply chains are tight, providers have to do more than simply offer access. They have to reduce burden and help customers move. That is the focus of this discussion. > Watch here: youtube.com/playlist?list=… #AIInfrastructure #Kubernetes #CloudInfrastructure #MLOps #GPUCloud

Origination alert: $16,395,614 loan executed with @QumulusAI. 600 H200 GPUs. 75 servers. 80% LTV, 12% APR. Dec 2024 - $500M guidance facility announced. Feb 2025 - $4.3M first draw April 2026 - $16.4M follow-on draw. More to come.

🖐 Top five signs your AI development roadmap is failing: ☝️ — Projects delayed or quietly shelved because GPUs weren't available ✌️ — Budget surprises buried in hyperscale invoices 👌 — Engineers context-switching off AI work while they wait for capacity 👊 — A stalled internal debate about whether to stay on a hyperscaler or look elsewhere 🖐 — Leadership asking for faster AI time-to-value without funding the infrastructure to deliver it If more than one of those is familiar, the new HyperFRAME Research brief is worth thirty minutes. It introduces the FACTS framework — Flexibility, Access, Cost, Trust, Speed — as a diagnostic for figuring out where the drag is actually coming from. 🤫 Hint: It's your infrastructure. > Download it today. landing.qumulusai.com/the-hyperspeed…

"As fast as the market is moving from Hopper, to Blackwell, to Rubin... the customer's ability to test and understand performance profiles — or even compatibility across platforms — is critical. And the last thing they want to do is contract for something, wait for it, get it late and realize they're not ready to run on it." — Ryan DiRocco (CTO, @QumulusAI) Ryan joined @vcluster's Lukas Gentele (CEO and Co-Founder) for a conversation about hyperspeed GPU deployment, partnership activation, and client provisioning. It's a 30-minute chat that lays the groundwork for how vCluster and QumulusAI are working together to provide the next generation of AI compute for the industry's fastest innovators. > Watch it now. youtube.com/watch?v=wOrJDZ…

Where's AI heading next and will the nation's infrastructure be able to support it? Join QumulusAI CEO, Mike Maniscalco, and other industry leaders for Centri's 2026 Capital Conference at Nasdaq on Tuesday, April 14, to discuss "AI at Scale: Capital, Compute, and the Infrastructure Powering the Next Phase of Growth." For the full conference agenda, please visit: hubs.la/Q049RRxh0 #Nasdaq #Conference #CentriCapitalConference #CapitalMarkets #ArtifificialIntelligence #AI

Most GPU infrastructure conversations get stuck on specs instead of talking about the FACTS: → Flexibility → Access → Cost → Trust → Speed Does your AI infrastructure provider prioritize the FACTS? #AIInfrastructure #GPU #AI

✔ Noisy neighbors. ✔ Capacity quotas. ✔ Weeks-long waitlists. That's what shared GPU infrastructure actually means. QumulusAI's dedicated B300 GPUs: none of the above. > Contact sales to reserve your Blackwell GPUs today. qumulusai.com/contact #NVIDIA #B300 #GPU #AIInfrastructure #BareMetal

The worst time to reserve GPUs is when you need them. By then, you're already behind. 😰 Introducing Capacity Planning as a Service (CPaaS). See your future compute needs before you need to reserve them. Plan your capacity. Deploy at hyperspeed. > Contact Sales to learn more. qumulusai.com/contact #AI #GPU #AIInfrastructure #CPaaS

QumulusAI's NVIDIA B300 clusters are built for the workloads that break everything else. > Contact sales for custom pricing. qumulusai.com/contact #NVIDIA #B300 #AI #Cluster #GPUs

Serious AI teams are being forced to make business decisions through infrastructure constraints they didn’t choose. Delayed use cases. Compromised deployment plans. Costs and complexity that distract from the work itself. Mike Halles (Chief of Staff) on what excites him about the opportunity QumulusAI sees in changing that.

This is what hyperspeed looks like after hours. We hosted our Hyperspeed Happy Hour at GTC with @vcluster — our newest partner in accelerating enterprise AI infrastructure. Steve Gertz said it best: the insatiable demand for AI compute is exactly why everyone in that room was there. > Read the full partnership announcement: qumulusai.com/articles/qumul…

We were busy at GTC. Here's who with... Building the hyperdistributed compute network with CN.IXP and Moonshot. Showcasing from inside DDN's AI Factory on Wheels. Demonstrating the reach and flexibility of our Cisco partnership. Activating a new AI lab with vCluster. Hosting key clients with Gruve. Scoring a feature with tech analyst Zeus Kerravala of ZK Research. ...and so much more. On to the next one.

.@StevenDickens3: "the winners will be those who can make the chips easy and safe to use." That's the job. QumulusAI + @vcluster = managed K8s on our distributed GPU cloud. Isolated environments on Blackwell in minutes, not weeks. > Read the full analysis from @HyperFRAME_res: hyperframeresearch.com/2026/03/26/is-…