Skip to main content

Bleeding Edge Group

Bleeding Edge Group provides single-tenant NVIDIA GPU clusters housed in modular AI factories that the company designs, builds, and owns, with deployment available in as little as 120 days. The infrastructure spans air-cooled and direct-liquid-cooled form factors, supporting Hopper, Blackwell, and rack-scale NVL systems for organizations needing production-grade AI compute without the lead time of traditional data center construction.

  • Artificial Intelligence
  • Energy
  • Hardware
  • Industrial Automation
Mexico City, Mexico · HQ
232K+ followers
Updated 16 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations training and deploying large-scale AI models face long lead times and high capital costs when building or leasing traditional data center capacity. GPU supply chains are constrained, and standard cloud rentals lack the control, customization, and long-term scalability that serious infrastructure teams require for production workloads.

Solution

Bleeding Edge Group industrializes AI data center deployment by offering single-tenant GPU clusters in modular AI factories that the company designs, builds, and owns. Customers can deploy on existing infrastructure immediately or have a new factory built anywhere in 120 days, with clusters available across every NVIDIA platform from H100 to GB300 NVL72. The infrastructure is standardized into two form factors—a 600 kW air-cooled CORE unit and a 5.2 MW direct-liquid-cooled HYPER unit—engineered for extreme density and rapid deployment. Bleeding Edge handles power, cooling, networking, and operations, delivering a production-grade environment that integrates with a customer's existing fleet via bare metal, Kubernetes, or Slurm, with telemetry and autohealing across the entire stack.

Target Audience

Primary customers are hyperscalers, neoclouds, AI labs, and government entities that need large-scale, production-grade AI inference and training infrastructure with rapid deployment timelines and long-term capacity planning.

Features

  • Single-tenant private clusters with bare metal, managed Kubernetes, or Slurm integration options, plus private VLAN/IPsec networking
  • Modular AI factory architecture standardized into 600 kW air-cooled CORE and 5.2 MW direct-liquid-cooled HYPER units
  • Support for all major NVIDIA GPU families including H100, H200, B200, B300, GB200 NVL72, and GB300 NVL72
  • 2N power and cooling redundancy with validated NVIDIA architecture and autohealing operational telemetry
  • Pre-qualified land and power bank enabling deployment in any geographic region within a 120-day cycle
  • Roadmap-based capacity expansion in planned waves behind the same control plane for long-term scaling
This profile is AI-generated and may contain inaccuracies.