Ray

Ray

Anyscale
+
+

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About

Amazon EC2 Trn3 UltraServers are AWS’s newest accelerated computing instances, powered by the in-house Trainium3 AI chips and engineered specifically for high-performance deep-learning training and inference workloads. These UltraServers are offered in two configurations, a “Gen1” with 64 Trainium3 chips and a “Gen2” with up to 144 Trainium3 chips per UltraServer. The Gen2 configuration delivers up to 362 petaFLOPS of dense MXFP8 compute, 20 TB of HBM memory, and a staggering 706 TB/s of aggregate memory bandwidth, making it one of the highest-throughput AI compute platforms available. Interconnects between chips are handled by a new “NeuronSwitch-v1” fabric to support all-to-all communication patterns, which are especially important for large models, mixture-of-experts architectures, or large-scale distributed training.

About

Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.

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

AI researchers, data scientists, and enterprises looking for a solution for training and deploying large language models, generative-AI systems, and other deep-learning workloads

Audience

ML and AI Engineers, Software Developers

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

No information available.
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

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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

Amazon
Founded: 1994
United States
aws.amazon.com/ec2/instance-types/trn3/

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
Keepsake

Keepsake

Replicate

Categories

Categories

Integrations

Amazon EKS
Amazon SageMaker
Amazon Web Services (AWS)
PyTorch
AWS Batch
AWS ParallelCluster
AWS Trainium
Amazon EC2 Trn2 Instances
Anyscale
Apache Airflow
Dask
Databricks Data Intelligence Platform
Google Cloud Platform
Google Kubernetes Engine (GKE)
Hugging Face
Kubernetes
LanceDB
Snowflake
TensorFlow
Union Cloud

Integrations

Amazon EKS
Amazon SageMaker
Amazon Web Services (AWS)
PyTorch
AWS Batch
AWS ParallelCluster
AWS Trainium
Amazon EC2 Trn2 Instances
Anyscale
Apache Airflow
Dask
Databricks Data Intelligence Platform
Google Cloud Platform
Google Kubernetes Engine (GKE)
Hugging Face
Kubernetes
LanceDB
Snowflake
TensorFlow
Union Cloud
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Claim AWS EC2 Trn3 Instances and update features and information
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