Axe Compute (NASDAQ: AGPU) provides enterprise GPU infrastructure that removes the obstacles between a team and the compute it needs. The platform delivers bare-metal GPU clusters across 200+ locations in 93 countries, provisioned in about 48 hours. There are no egress fees, no virtualisation overhead, and a 99% uptime commitment. The difference is choice. Enterprises select the region, GPU type, and configuration that fit the workload, rather than designing the business around whatever capacity happens to be available.
Enterprise GPU Infrastructure Should Not Be This Hard
Teams building AI at scale know the pattern. The GPUs are needed now, yet direct hardware procurement has stretched to 36 to 52 weeks for high-end parts. When capacity finally arrives, it is often whatever hardware and region were available, not what the workload actually needed. Then come the hidden costs. Surprise egress fees, virtualisation overhead that eats into performance, and rigid contracts lock a team into one vendor’s ecosystem.
Most providers operate in only a handful of countries, which forces teams to move data to the infrastructure rather than bringing compute to the data. As a result, engineers spend more time managing compute than building products. That is backwards. The job of infrastructure is to disappear into the background so the work on top of it can move.
What Axe Compute Is
Axe Compute (NASDAQ: AGPU) is a publicly traded enterprise GPU infrastructure company. It coordinates a global distributed GPU network into an enterprise-grade service. Dedicated, bare-metal clusters provision in about 48 hours across 200+ locations in 93 countries. There are no egress fees, no virtualisation overhead, and a 99% uptime commitment, with pricing significantly below hyperscaler rates.
The company was formed when Predictive Oncology (NASDAQ: POAI) rebranded as Axe Compute, and the common stock now trades under the ticker AGPU. Predictive Oncology continues as a subsidiary focused on AI-driven drug discovery, while Axe Compute operates as the parent and the infrastructure business. That structure brings the governance, transparency, and accountability of an SEC-regulated public company to a market that has had little of any.
The Difference Is Choice, Expertise, and Cost Efficiency
Three principles define the platform.
Choice. Enterprises select the hardware, configuration, and location that match the workload. The network spans NVIDIA H100, H200, B200, and B300 class GPUs, with flexible interconnect and topology for distributed training or inference. The Build program takes this further. Here the customer specifies region, GPU type, and network fabric, whether RoCE or InfiniBand, and Axe Compute sources and configures it, subject to regional availability. Capacity can be placed close to users and data, which addresses latency and data-residency requirements without centralising everything in one cloud region.
Transparency. Pricing is flat and legible, with no bandwidth or egress charges and no surprise line items after the quote. We examine where the hidden charges accumulate in The Hidden Cost of Cloud GPUs.
Cost efficiency. Pricing runs significantly below hyperscaler rates, and workloads stay portable, with the freedom to scale up or down without long-term lock-in. Cost matters, yet it is a result of the model rather than the headline. The decision framework behind bare-metal economics is set out in Bare Metal vs Cloud GPU.
Why Infrastructure, and Why Now
The logic is simple: without infrastructure, innovation does not happen. Transformers needed compute to train. Scaling laws need hardware to test. Production AI needs capacity to run. Meanwhile demand keeps outpacing supply. McKinsey projects the world will need $6.7 trillion of data center investment by 2030. The four largest hyperscalers alone committed roughly $725 billion to AI infrastructure in 2026. We map that market in AI Compute Market 2026, and the procurement bottleneck in The 52-Week Wait.
Axe Compute is built to close part of that gap. The model is to operate as an active infrastructure company rather than a passive treasury. Axe Compute secures access to GPU capacity and deploys it to serve enterprise clients under service agreements, earning the margin between the cost of capacity and enterprise billing. In 2026 the company closed a $260M three-year enterprise contract, its largest since entering the compute business, to deploy a dedicated NVIDIA B300 cluster in a US data center.
What This Means for Your Team
Building AI should not require becoming an expert in GPU procurement, cloud pricing models, or capacity politics. A team should be able to reserve the specific GPU it needs, in the right configuration and region, in days rather than quarters. Then it can return to the work that matters. That is what Axe Compute is built to provide. Broad choice in hardware and configuration, global reach through a distributed network, transparent pricing, and enterprise-grade reliability, all backed by a public company.
About Axe Compute
Axe Compute (NASDAQ: AGPU) provides bare-metal GPU infrastructure across 200+ locations in 93 countries. The platform operates 400,000+ GPUs with 48-hour provisioning, zero egress fees, no virtualisation overhead, and 99% uptime. Pricing runs significantly below hyperscaler rates.
Reserve the compute you need, on your terms.
400,000+ GPUs · 200+ locations · 48-hour provisioning · Zero egress fees
Frequently Asked Questions
What is Axe Compute?
Axe Compute (NASDAQ: AGPU) is a publicly traded enterprise GPU infrastructure company. It provides bare-metal GPU clusters across 200+ locations in 93 countries, with 48-hour provisioning, zero egress fees, no virtualisation overhead, and 99% uptime, at pricing significantly below hyperscaler rates. The platform is built so enterprises choose the region, GPU type, and configuration they need rather than designing around whatever capacity happens to be available.
What does Axe Compute offer?
Two main offerings. On-demand access provides bare-metal GPU clusters from the live network, deployable in about 48 hours, with NVIDIA H100, H200, B200, and B300 available. The Build program lets the customer specify region, GPU type, and network fabric (RoCE or InfiniBand), and Axe Compute sources and configures it, subject to regional availability. Both come with zero egress fees, no virtualisation overhead, 99% uptime, and pricing significantly below hyperscaler rates.
How does Axe Compute provision GPU capacity so quickly?
Axe Compute coordinates a global distributed GPU network of 400,000+ GPUs into an enterprise-grade service layer, rather than building and waiting on new data centers. Because the capacity is live, not planned, dedicated clusters can be provisioned in about 48 hours instead of the 36 to 52 weeks typical of direct hardware procurement. No new grid connections are required.
Forward-looking statements: this article contains forward-looking statements regarding Axe Compute’s strategy, infrastructure, and business model. Actual results may differ materially, and the company undertakes no obligation to update these statements except as required by law. Pricing, availability, and configurations vary by region, duration, and demand.