CambridgeNexus offers an AIFaaS™ platform that provides dedicated NVIDIA GB300 GPU clusters hosted in a sovereign New England data center, delivering fixed, reserved compute capacity with configurable networking and data‑residency controls. The managed service integrates with existing AI pipelines, offering SLA‑backed performance and uptime for large‑scale model training and inference, eliminating the need for organizations to build and maintain their own hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Institutions developing advanced AI models face a shortage of high‑performance GPU capacity, especially the latest NVIDIA GB300 class, and existing cloud providers often offer only shared, time‑based access without dedicated infrastructure or data‑residency guarantees.
Solution
CambridgeNexus delivers enterprise‑grade AI infrastructure through its AIFaaS™ platform, providing dedicated NVIDIA GB300 GPU clusters hosted in a sovereign New England data center. The service offers fixed, reserved compute capacity, configurable networking, and strict data‑residency controls tailored for production‑scale AI workloads in the Blackwell era. Clients receive a managed environment that integrates with their existing pipelines, enabling continuous training, inference, and model iteration without the overhead of building and maintaining their own hardware. By positioning itself as an infrastructure partner rather than a generic cloud vendor, CambridgeNexus ensures predictable performance, compliance, and long‑term availability of scarce GB300 resources.
Target Audience
Primary customers are research institutions, large enterprises, and government agencies that require sustained, high‑throughput GPU compute for next‑generation AI model development and deployment.
Features
- Dedicated NVIDIA GB300 GPU clusters with guaranteed allocation and priority reservation
- Fully configurable network topology and low‑latency interconnects optimized for large‑scale AI workloads
- Data‑residency options and isolated tenancy to meet regulatory and security requirements
- Managed AIFaaS platform that handles provisioning, monitoring, and maintenance of the GPU fleet
- Integration hooks for common AI frameworks and enterprise orchestration tools
- SLA‑backed performance and uptime guarantees for production environments