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What is Lambda?

Lambda delivers a supercomputing cloud purpose-built for the era of superintelligence, providing organizations with AI factories engineered for maximum density, cooling efficiency, and GPU performance. Its infrastructure combines high-density power delivery with liquid-cooled NVIDIA systems, enabling stable operation for the largest AI training and inference tasks. Teams can launch single GPU instances in minutes, deploy fully optimized HGX clusters through 1-Click Clusters™, or operate entire GB300 NVL72 superclusters with NVIDIA Quantum-2 InfiniBand networking for ultra-low latency. Lambda’s single-tenant architecture ensures uncompromised security, with hardware-level isolation, caged cluster options, and SOC 2 Type II compliance. Enterprise users can confidently run sensitive workloads knowing their environment follows mission-critical standards. The platform provides access to cutting-edge GPUs, including NVIDIA GB300, HGX B300, HGX B200, and H200 systems designed for frontier-scale AI performance. From foundation model training to global inference serving, Lambda offers compute that grows with an organization’s ambitions. Its infrastructure serves startups, research institutions, government agencies, and enterprises pushing the limits of AI innovation. Developers benefit from streamlined orchestration, the Lambda Stack, and deep integration with modern distributed AI workflows. With rapid onboarding and the ability to scale from a single GPU to hundreds of thousands, Lambda is the backbone for teams entering the race to superintelligence.

What is Charg?

Charg is an innovative platform that streamlines the entire lifecycle of AI infrastructure, transforming traditional enterprise-grade supercomputing systems into flexible cloud environments tailored for AI and high-performance computing tasks. The public HPC cloud provided by Charg grants access to a wide range of resources, from a singular GPU to an expansive cluster exceeding 60 PFLOPS, empowering teams to leverage supercomputing power without the burden of owning or maintaining the hardware themselves. It incorporates cutting-edge CRAY supercomputers and the formidable NVIDIA DGX architecture, which combines clustered NVIDIA V100 GPUs with high-speed 200 GbE InfiniBand networking and comprehensive all-flash CEPH storage, delivering exceptional low-latency and high-throughput performance. Charg is meticulously crafted to address demanding AI workflows, scientific inquiries, and engineering calculations, facilitating a multitude of tasks such as model training, large-scale inference, simulations, complex data analysis, finite element analysis, and computational fluid dynamics. By utilizing an API-driven framework, Charg not only integrates effortlessly with existing workflows but also provides scalable on-demand capacity, free from operational constraints, making it a prime solution for various computational requirements. This adaptability guarantees that organizations can swiftly modify their resources in response to fluctuating demands, ensuring efficiency and effectiveness in their computational endeavors. Moreover, the platform prioritizes user experience, making it easier for teams to focus on innovation rather than infrastructure challenges.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.99 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lambda.ai

Date Founded

2012

Company Location

United States

Company Website

lambda.ai

Company Facts

Organization Name

Charg

Company Location

United States

Company Website

charg.cloud/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

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Lambda Reviews & Ratings

Lambda

Lambda.ai