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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 GPUEater?

Persistence container technology streamlines operations through a lightweight framework, enabling users to be billed by the second rather than enduring long waits of hours or months. The billing process, which will be conducted through credit card transactions, is scheduled for the subsequent month. This innovative technology provides exceptional performance at a cost-effective rate compared to other available solutions. Moreover, it is poised for implementation in the world's fastest supercomputer at Oak Ridge National Laboratory. A variety of machine learning applications, such as deep learning, computational fluid dynamics, video encoding, and 3D graphics, will gain from this technology, alongside other GPU-dependent tasks within server setups. The adaptable nature of these applications showcases the extensive influence of persistence container technology across diverse scientific and computational domains. In addition, its deployment is likely to foster new research opportunities and advancements in various fields.

Media

Media

Integrations Supported

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

Integrations Supported

Keras
TensorFlow
PyTorch

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.0992 per hour

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Lambda.ai

Date Founded

2012

Company Location

United States

Company Website

lambda.ai

Company Facts

Organization Name

GPUEater

Company Location

United States

Company Website

gpueater.com

Categories and Features

AI Cloud Providers

Not specified

AI Infrastructure

Not specified

Cloud GPU

Not specified

Deep Learning

Not specified

LLM API

Not specified

Machine Learning

Not specified

Categories and Features

Cloud GPU

Not specified

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