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Description

CambridgeNexus (CNEX), located in Boston, is an operator of AI Factory that provides exclusive leasing of bare-metal NVIDIA GB300 NVL72 racks, managing an inventory of over 350 racks housed in Tier III facilities across six US states and Taiwan, with installations typically completed within a timeframe of 75 to 90 days post-contract. Unlike traditional GPU marketplaces or virtualized cloud services, CNEX offers customers full racks that are bare metal, single tenant, and devoid of shared hardware or instances, underpinned by seven operational layers that encompass power, cooling, networking, compute, orchestration, compliance, and customer workload planning. Customers benefit from leasing complete systems, including NVIDIA GB300 NVL72 and NVIDIA Vera Rubin setups, with flexible lease agreements spanning from six months to over five years. The company guarantees a rapid turnaround from contract to installation, achieving a 99.95% uptime SLA, and adheres to stringent security and compliance standards, including SOC 2 Type I, GDPR, and HIPAA certifications, with ISO 27001 and FedRAMP statuses currently in progress. This unique approach not only ensures high reliability but also addresses the specific needs of businesses looking for dedicated AI computing resources.

Description

Lambda is building the cloud designed for superintelligence by delivering integrated AI factories that combine dense power, liquid cooling, and next-generation NVIDIA compute into turnkey systems. Its platform supports everything from rapid prototyping on single GPU instances to running massive distributed training jobs across full GB300 NVL72 superclusters. With 1-Click Clusters™, teams can instantly deploy optimized B200 and H100 clusters prepared for production-grade AI workloads. Lambda’s shared-nothing, single-tenant security model ensures that sensitive data and models remain isolated at the hardware level. SOC 2 Type II certification and caged-cluster options make it suitable for mission-critical use cases in enterprise, government, and research. NVIDIA’s latest chips—including the GB300, HGX B300, HGX B200, and H200—give organizations unprecedented computational throughput. Lambda’s infrastructure is built to scale with ambition, capable of supporting workloads ranging from inference to full-scale training of foundation models. For AI teams racing toward the next frontier, Lambda provides the power, security, and reliability needed to push boundaries.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

AccessOwl No 
Caffe No 
EquityZen No 
Jupyter Notebook No 
Keras No 
NVIDIA Brev No 
OpsVerse No 
Shadeform No 
TensorFlow No 
ZenML No 

Integrations

AccessOwl Yes 
Caffe Yes 
EquityZen Yes 
Jupyter Notebook Yes 
Keras Yes 
NVIDIA Brev Yes 
OpsVerse Yes 
Shadeform Yes 
TensorFlow Yes 
ZenML Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

CambridgeNexus, Inc.

Founded

2025

Country

United States

Website

cambridgenexus.com

Vendor Details

Company Name

Lambda.ai

Founded

2012

Country

United States

Website

lambda.ai

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives