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Description

The Elastic Fabric Adapter (EFA) serves as a specialized network interface for Amazon EC2 instances, allowing users to efficiently run applications that demand high inter-node communication at scale within the AWS environment. By utilizing a custom-designed operating system (OS) that circumvents traditional hardware interfaces, EFA significantly boosts the performance of communications between instances, which is essential for effectively scaling such applications. This technology facilitates the scaling of High-Performance Computing (HPC) applications that utilize the Message Passing Interface (MPI) and Machine Learning (ML) applications that rely on the NVIDIA Collective Communications Library (NCCL) to thousands of CPUs or GPUs. Consequently, users can achieve the same high application performance found in on-premises HPC clusters while benefiting from the flexible and on-demand nature of the AWS cloud infrastructure. EFA can be activated as an optional feature for EC2 networking without incurring any extra charges, making it accessible for a wide range of use cases. Additionally, it seamlessly integrates with the most popular interfaces, APIs, and libraries for inter-node communication needs, enhancing its utility for diverse applications.

Description

lium.io gives developers, researchers and AI agents on-demand access to NVIDIA GPU capacity from independent providers. Rent a single GPU or a full 8-GPU node for training, fine-tuning, inference and batch workloads, with SSH and Jupyter access. Use the web, CLI, Python SDK, API or MCP integration to deploy. Per-second billing and usage-based marketplace rates make short jobs practical, without a minimum commitment. Secure and Spot options let you choose capacity for your workload. Live prices and availability are published on the marketplace. New accounts can receive $5 of credit after signup checks. GPU providers set their own rental prices and earn 95% of rental revenue plus bonuses. List capacity in the provider portal; developer guides are in the documentation.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

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

Integrations

AWS HPC No 
AWS Nitro System No 
AWS ParallelCluster No 
Amazon No 
Amazon EC2 No 
Amazon Web Services (AWS) No 
Caffe No 
Chainer No 
MXNet No 
OpenFOAM No 
PyTorch No 
SAP Store No 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.40 per GPU per hour
Usage-based marketplace pricing, billed per second. Providers set their own GPU-hour rates, which vary with supply. Check the live pricing page for current rates and availability. No minimum commitment. New accounts can receive $5 of credit after passing signup checks.
Free Trial Yes 
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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

United States

Founded

1994

Country

United States

Website

aws.amazon.com/hpc/efa/

Vendor Details

Company Name

lium.io

Website

lium.io

Product Features

HPC

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 

Product Features

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Alternatives

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