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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 AWS Elastic Fabric Adapter (EFA)?

The Elastic Fabric Adapter (EFA) is a dedicated network interface tailored for Amazon EC2 instances, aimed at facilitating applications that require extensive communication between nodes when operating at large scales on AWS. By employing a unique operating system (OS), EFA bypasses conventional hardware interfaces, greatly enhancing communication efficiency among instances, which is vital for the scalability of these applications. This technology empowers High-Performance Computing (HPC) applications that utilize the Message Passing Interface (MPI) and Machine Learning (ML) applications that depend on the NVIDIA Collective Communications Library (NCCL), enabling them to seamlessly scale to thousands of CPUs or GPUs. As a result, users can achieve performance benchmarks comparable to those of traditional on-premises HPC clusters while enjoying the flexible, on-demand capabilities offered by the AWS cloud environment. This feature serves as an optional enhancement for EC2 networking and can be enabled on any compatible EC2 instance without additional costs. Furthermore, EFA integrates smoothly with a majority of commonly used interfaces, APIs, and libraries designed for inter-node communications, making it a flexible option for developers in various fields. The ability to scale applications while preserving high performance is increasingly essential in today’s data-driven world, as organizations strive to meet ever-growing computational demands. Such advancements not only enhance operational efficiency but also drive innovation across numerous industries.

Media

Media

Integrations Supported

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

Integrations Supported

Caffe
TensorFlow
AWS HPC
AWS Nitro System
AWS ParallelCluster
Amazon
Amazon EC2
Amazon Web Services (AWS)
Chainer
OpenFOAM
PyTorch
SAP Store

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Lambda.ai

Date Founded

2012

Company Location

United States

Company Website

lambda.ai

Company Facts

Organization Name

United States

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/efa/

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

HPC

Not specified

Machine Learning

Not specified

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