+
+

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

Distributed AI is a computing paradigm that bypasses the need to move vast amounts of data and provides the ability to analyze data at the source. Distributed AI APIs built by IBM Research is a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge computing environments. Each Distributed AI API addresses the challenges in enabling AI in distributed and edge environments with APIs. The Distributed AI APIs do not focus on the basic requirements of creating and deploying AI pipelines, for example, model training and model serving. You would use your favorite open-source packages such as TensorFlow or PyTorch. Then, you can containerize your application, including the AI pipeline, and deploy these containers at the distributed locations. In many cases, it’s useful to use a container orchestrator such as Kubernetes or OpenShift operators to automate the deployment process.

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 interested in a solution offering data and AI algorithms to support their AI applications

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

No information available.
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

IBM
United States
developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
DeepSpeed

DeepSpeed

Microsoft

Categories

Categories

Integrations

PyTorch
TensorFlow
Kubernetes
MXNet
Red Hat OpenShift

Integrations

PyTorch
TensorFlow
Kubernetes
MXNet
Red Hat OpenShift
Claim GPUonCLOUD and update features and information
Claim GPUonCLOUD and update features and information
Claim IBM Distributed AI APIs and update features and information
Claim IBM Distributed AI APIs and update features and information