+
+

Related Products

  • Google Compute Engine
    1,166 Ratings
    Visit Website
  • Runpod
    220 Ratings
    Visit Website
  • Servers.com by Nexcess
    15 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website
  • Nexcess Managed Cloud
    210 Ratings
    Visit Website
  • Nexcess Digital Cloud
    205 Ratings
    Visit Website
  • Google Cloud Platform
    61,011 Ratings
    Visit Website
  • Teradata VantageCloud
    1,122 Ratings
    Visit Website
  • DataBuck
    6 Ratings
    Visit Website
  • Nasdaq Metrio
    14 Ratings
    Visit Website

About

Traditionally, deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling take days or weeks time. However, with GPUonCLOUD’s dedicated GPU servers, it's a matter of hours. You may want to opt for pre-configured systems or pre-built instances with GPUs featuring deep learning frameworks like TensorFlow, PyTorch, MXNet, TensorRT, libraries e.g. real-time computer vision library OpenCV, thereby accelerating your AI/ML model-building experience. Among the wide variety of GPUs available to us, some of the GPU servers are best fit for graphics workstations and multi-player accelerated gaming. Instant jumpstart frameworks increase the speed and agility of the AI/ML environment with effective and efficient environment lifecycle management.

About

Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies interested in a GPU server solution for AI and machine learning

Audience

Developers in need of a powerful Development Framework solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1 per hour
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

GPUonCLOUD
India
gpuoncloud.com/gpu-as-a-service/

Company Information

Horovod
horovod.ai/

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Integrations

MXNet
PyTorch
TensorFlow
Amazon Web Services (AWS)
Azure Databricks
Flyte
Keras
Microsoft Azure
Python

Integrations

MXNet
PyTorch
TensorFlow
Amazon Web Services (AWS)
Azure Databricks
Flyte
Keras
Microsoft Azure
Python
Claim GPUonCLOUD and update features and information
Claim GPUonCLOUD and update features and information
Claim Horovod and update features and information
Claim Horovod and update features and information