Tier III certified facilities·NVIDIA GB300 NVL72 racks allocated
AI Factory operator: whole NVIDIA GB300 NVL72 racks, end-to-end operation
An AI Factory operator with an allocation of 350+ NVIDIA GB300 racks
CambridgeNexus owns and runs bare-metal NVIDIA GB300 NVL72 racks and B300 systems in Tier III facilities in the United States and Taiwan. Leased whole, single tenant, operational within 75-90 days of contract.
CambridgeNexus runs all seven operating layers, from power to workload planning, in Tier III data centers in the United States and Taiwan. Allocation of 350+ NVIDIA GB300 NVL72 racks secured. Terms from 6 months to 5+ years, first workload in 75-90 days from signing.
Whole racks or whole servers, single tenant, operated end to end. Pick a size and a term.
Air-cooled 8-GPU systems. Installed within 75-90 days of contract. For inference and fine-tuning.
Read more72 Blackwell Ultra GPUs per rack, liquid-cooled, single tenant. Operational in 75-90 days from contract.
Read moreCambridgeNexus already holds a Vera Rubin allocation. Racks expected to be available to lease in mid-2027; reservations open now.
Read moreCambridgeNexus operates the entire stack, from the power feeding the rack to the workload running on it.
Already contracted at every site. Your rack is allocated against power we hold.
Liquid or air cooling by configuration: GB300 NVL72 runs liquid-cooled, B300 runs air-cooled. Engineered and operated by us.
InfiniBand or RoCE fabric for large-scale AI. Up to 400 Gbps external connectivity.
GB300 NVL72 racks with 72 Blackwell Ultra GPUs or B300 systems. Single tenant.
Scheduling and cluster management configured to your stack.
Export-control screening, KYC and data residency fixed in the contract.
We size the deployment around your training or inference run.
Multiple Tier III AI data centers across the United States. CambridgeNexus selects the site to match your latency, compliance and workload requirements.
Talk to us about location requirements
Bare-metal NVIDIA GB300 racks, one operator, a delivery schedule instead of a construction project.
Capacity sized around your program,
with the compliance documentation regulated buyers need.
Dedicated racks for video-generation model training and inference.
Risk modeling and quant workloads with documented residency and controls.
Drug-discovery and imaging models on compliant, single-tenant capacity.
Compute for regulated programs, with export-control screening built in.
Whole racks for foundation-model and fine-tuning runs, on hardware only you use.
Compliance is one of the seven layers we operate, built into every deployment from day one.
CambridgeNexus is an AI Factory operator. It leases bare-metal, single-tenant NVIDIA GB300 NVL72 racks and B300 systems from Tier III data centers in the United States and Taiwan, and operates every layer around them: power, cooling, networking, compute, orchestration, compliance and workload planning. See the seven operating layers
No. CambridgeNexus leases whole, single-tenant hardware: NVIDIA GB300 NVL72 racks and NVIDIA B300 systems, never sliced GPU nodes or shared instances. We may explore additional models in the future.
Yes. CambridgeNexus runs Tier III facilities in the United States and Taiwan, with GB300 racks installed and operational. Technical detail on any site is available on request. How a CambridgeNexus rack is commissioned and run
CambridgeNexus, Inc. is an AI Factory operator headquartered at 56 Broad Street, Boston, Massachusetts, led by CEO Ken Huang and an international team across the US, Europe and Asia. Full company details are on the about page.
75-90 days from contract to installation and acceptance. Or even faster, depending on rack availability. The clock runs from the contract date. See the GB300 deployment timeline
Price depends on rack count, booking timeline and downpayment, so a list price would be misleading. Send us those three details, and we'll return a quote for your configuration. How CambridgeNexus pricing works
Tell us the rack count, the term, location, and your workload requirements. We'll come back with the deployment plan: capacity, site, and dates.
A technical conversation, from the first call