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What is Compute with Hivenet?

Compute with Hivenet is an efficient and budget-friendly cloud computing service that provides instant access to RTX 4090 GPUs. Tailored for tasks involving AI model training and other computation-heavy operations, Compute ensures secure, scalable, and dependable GPU resources at a significantly lower price than conventional providers. Equipped with real-time usage monitoring, an intuitive interface, and direct SSH access, Compute simplifies the process of launching and managing AI workloads, allowing developers and businesses to expedite their initiatives with advanced computing capabilities. Additionally, Compute is an integral part of the Hivenet ecosystem, which comprises a wide range of distributed cloud solutions focused on sustainability, security, and cost-effectiveness. By utilizing Hivenet, users can maximize the potential of their underused hardware to help build a robust and distributed cloud infrastructure that benefits all participants. This innovative approach not only enhances computational power but also fosters a collaborative environment for technology advancement.

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

Amazon Web Services (AWS)
AWS HPC
AWS Nitro System
AWS ParallelCluster
Amazon
Amazon EC2
Caffe
Chainer
Google Cloud Platform
Kubernetes
MXNet
Microsoft Azure
OpenFOAM
PyTorch
SAP Store
TensorFlow

Integrations Supported

Amazon Web Services (AWS)
AWS HPC
AWS Nitro System
AWS ParallelCluster
Amazon
Amazon EC2
Caffe
Chainer
Google Cloud Platform
Kubernetes
MXNet
Microsoft Azure
OpenFOAM
PyTorch
SAP Store
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

$0.10/hour
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Hivenet

Date Founded

2022

Company Website

compute.hivenet.com

Company Facts

Organization Name

United States

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/efa/

Categories and Features

Categories and Features

HPC

Machine Learning

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

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