Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Exafunction enhances the efficiency of your deep learning inference tasks, achieving up to a tenfold increase in resource utilization and cost savings. This allows you to concentrate on developing your deep learning application rather than juggling cluster management and performance tuning. In many deep learning scenarios, limitations in CPU, I/O, and network capacities can hinder the optimal use of GPU resources. With Exafunction, GPU code is efficiently migrated to high-utilization remote resources, including cost-effective spot instances, while the core logic operates on a low-cost CPU instance. Proven in demanding applications such as large-scale autonomous vehicle simulations, Exafunction handles intricate custom models, guarantees numerical consistency, and effectively manages thousands of GPUs working simultaneously. It is compatible with leading deep learning frameworks and inference runtimes, ensuring that models and dependencies, including custom operators, are meticulously versioned, so you can trust that you're always obtaining accurate results. This comprehensive approach not only enhances performance but also simplifies the deployment process, allowing developers to focus on innovation instead of infrastructure.

Description

Nexthop AI presents a suite of software solutions that form an integral part of a comprehensive infrastructure platform aimed at developing exceptionally efficient networking systems tailored for expansive artificial intelligence and cloud-based environments. The company prioritizes the creation of seamlessly integrated networking hardware and solutions that cater to the rigorous demands of hyperscale data centers, which are essential for AI training and inference tasks. Rather than providing standard networking products, Nexthop collaborates extensively with cloud service providers to jointly develop customized infrastructure that meets their unique deployment needs, encompassing network operating systems, switching devices, optical and electrical interconnections, and software components specifically designed for large AI clusters. Furthermore, its technology stack is engineered to work in harmony with open network operating systems like SONiC, while enhancing reliability, fine-tuning performance, and incorporating essential operational features suitable for hyperscale environments. By focusing on bespoke solutions, Nexthop AI ensures that its offerings not only meet the current needs of clients but also adapt to future technological advancements in the field of AI and networking.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

PyTorch
TensorFlow

Integrations

PyTorch
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Exafunction

Website

exafunction.com

Vendor Details

Company Name

Nexthop

Founded

2024

Country

United States

Website

nexthop.ai/software-portfolio/

Product Features

Deep Learning

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

Alternatives

Alternatives

SONiC Reviews

SONiC

NVIDIA Networking
Netvisor ONE Reviews

Netvisor ONE

Pluribus Networks