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

AWS Trainium represents a next-generation machine learning accelerator specifically designed for the training of deep learning models with over 100 billion parameters. Each Amazon Elastic Compute Cloud (EC2) Trn1 instance can utilize as many as 16 AWS Trainium accelerators, providing an efficient and cost-effective solution for deep learning training in a cloud environment. As the demand for deep learning continues to rise, many development teams often find themselves constrained by limited budgets, which restricts the extent and frequency of necessary training to enhance their models and applications. The EC2 Trn1 instances equipped with Trainium address this issue by enabling faster training times while also offering up to 50% savings in training costs compared to similar Amazon EC2 instances. This innovation allows teams to maximize their resources and improve their machine learning capabilities without the financial burden typically associated with extensive training.

Description

In the past, tasks such as deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling could take several days or even weeks to complete. Thanks to GPUonCLOUD’s specialized GPU servers, these processes can now be accomplished in just a few hours. You can choose from a range of pre-configured systems or ready-to-use instances equipped with GPUs that support popular deep learning frameworks like TensorFlow, PyTorch, MXNet, and TensorRT, along with libraries such as the real-time computer vision library OpenCV, all of which enhance your AI/ML model-building journey. Among the diverse selection of GPUs available, certain servers are particularly well-suited for graphics-intensive tasks and multiplayer accelerated gaming experiences. Furthermore, instant jumpstart frameworks significantly boost the speed and flexibility of the AI/ML environment while ensuring effective and efficient management of the entire lifecycle. This advancement not only streamlines workflows but also empowers users to innovate at an unprecedented pace.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Factories Yes 
AWS EC2 Trn3 Instances Yes 
AWS Neuron Yes 
AWS Parallel Computing Service Yes 
Amazon EC2 Yes 
Amazon EC2 Capacity Blocks for ML Yes 
Amazon EC2 G5 Instances Yes 
Amazon EC2 Inf1 Instances Yes 
Amazon EC2 P4 Instances Yes 
Amazon EC2 P5 Instances Yes 
Amazon EC2 Trn1 Instances Yes 
Amazon EC2 Trn2 Instances Yes 
Amazon EC2 UltraClusters Yes 
Amazon SageMaker HyperPod Yes 
Anyscale Yes 
C++ Yes 
MXNet No 
PyTorch No 
TensorFlow No 
Upstage Document Parse Yes 

Integrations

AWS AI Factories No 
AWS EC2 Trn3 Instances No 
AWS Neuron No 
AWS Parallel Computing Service No 
Amazon EC2 No 
Amazon EC2 Capacity Blocks for ML No 
Amazon EC2 G5 Instances No 
Amazon EC2 Inf1 Instances No 
Amazon EC2 P4 Instances No 
Amazon EC2 P5 Instances No 
Amazon EC2 Trn1 Instances No 
Amazon EC2 Trn2 Instances No 
Amazon EC2 UltraClusters No 
Amazon SageMaker HyperPod No 
Anyscale No 
C++ No 
MXNet Yes 
PyTorch Yes 
TensorFlow Yes 
Upstage Document Parse No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1 per hour
Free Trial No 
Free Version 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 

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) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Amazon Web Services

Founded

2006

Country

United States

Website

aws.amazon.com/machine-learning/trainium/

Vendor Details

Company Name

GPUonCLOUD

Country

India

Website

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

Product Features

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 

Alternatives

Alternatives

AWS Neuron Reviews

AWS Neuron

Amazon Web Services