CambridgeNexusCambridgeNexus, Inc.
|
||||||
Related Products
|
||||||
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
Phala is a hardware-secured cloud platform designed to help organizations deploy confidential AI with verifiable trust and enterprise-grade privacy. Using Trusted Execution Environments (TEEs), Phala ensures that AI models, data, and computations run inside fully isolated, encrypted environments that even cloud providers cannot access. The platform includes pre-configured confidential AI models, confidential VMs, and GPU TEE support for NVIDIA H100, H200, and B200 hardware, delivering near-native performance with complete privacy. With Phala Cloud, developers can build, containerize, and deploy encrypted AI applications in minutes while relying on automated attestations and strong compliance guarantees. Phala powers sensitive workloads across finance, healthcare, AI SaaS, decentralized AI, and other privacy-critical industries. Trusted by thousands of developers and enterprise customers, Phala enables businesses to build AI that users can trust.
|
|||||
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
Phala is ideal for enterprises, developers, and AI teams needing secure, privacy-preserving, verifiable infrastructure for deploying sensitive or regulated 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
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and VideosNo images available
|
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
$50.37/month
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationCambridgeNexus, Inc.
Founded: 2025
United States
cambridgenexus.com
|
Company InformationPhala
Founded: 2019
United States
phala.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
DeepSeek R1
Not Supported
Llama 3.1
Not Supported
Qwen2.5
Not Supported
Qwen3
Not Supported
|
Integrations
DeepSeek R1
Supported
Llama 3.1
Supported
Qwen2.5
Supported
Qwen3
Supported
|
|||||
|
|
|