CambridgeNexus

CambridgeNexus

CambridgeNexus, Inc.
TensorHost

TensorHost

GPU Server Hosts
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About

CambridgeNexus (CNEX) is a Boston-based AI Factory operator that owns bare-metal NVIDIA GB300 NVL72 racks and leases them whole, single tenant, from an allocation of 350+ racks across Tier III facilities in six US states and Taiwan, installed within 75 to 90 days of contract. Not a GPU marketplace and not a virtualized cloud. Customers lease full racks: bare metal, single tenant, no instances, no shared hardware. Seven operating layers run under one model: power, cooling, networking, compute, orchestration, compliance and customer workload planning. What a customer gets: - Full-rack NVIDIA GB300 NVL72 and NVIDIA Vera Rubin systems, from one rack upward - Lease terms from 6 months to 5+ years - Tier III facilities in USA and Taiwan - Contract to installation and acceptance in 75 to 90 days - 99.95% uptime SLA - SOC 2 Type I, GDPR and HIPAA; ISO 27001 and FedRAMP 20x in progress

About

TensorHost provides GPU compute directly from infrastructure it owns and operates, rather than brokering capacity from third-party hosts. Customers request the workload, GPU requirements, quantity, and timing; service specifications and location are confirmed before an allocation is agreed. The service makes NVIDIA GPU capacity available for AI and other GPU-intensive computing workloads. TensorHost operates the underlying infrastructure, while customers use the provisioned compute for their own applications and workloads. It is intended for developers, AI teams, and organizations that need hosted GPU resources without purchasing and maintaining the underlying GPU servers. Compute is billed according to usage, with capacity and pricing arranged for the requested allocation.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI infrastructure and hyperscale companies, GPU capacity providers, and enterprises, research institutions and public-sector organizations running production AI training, inference and simulation at rack scale, across financial services, biotech and pharma, automotive and robotics, defense and aerospace, media and gaming, telecoms and large retail.

Audience

Developers and businesses seeking GPU compute for AI workloads

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.50/GPU-hour
RTX 5090 compute is $0.50 per GPU-hour, billed per second, with no minimums or egress charges. Other GPU configurations are quoted in USD.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

CambridgeNexus, Inc.
Founded: 2025
United States
cambridgenexus.com

Company Information

GPU Server Hosts
Founded: 2025
United Kingdom
tensorhost.com

Alternatives

Alternatives

Categories

Categories

Cloud GPU Supported

Integrations

No info available.

Integrations

No info available.
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