Ray

Ray

Anyscale
+
+

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About

NVIDIA NeMo Megatron is an end-to-end framework for training and deploying LLMs with billions and trillions of parameters. NVIDIA NeMo Megatron, part of the NVIDIA AI platform, offers an easy, efficient, and cost-effective containerized framework to build and deploy LLMs. Designed for enterprise application development, it builds upon the most advanced technologies from NVIDIA research and provides an end-to-end workflow for automated distributed data processing, training large-scale customized GPT-3, T5, and multilingual T5 (mT5) models, and deploying models for inference at scale. Harnessing the power of LLMs is made easy through validated and converged recipes with predefined configurations for training and inference. Customizing models is simplified by the hyperparameter tool, which automatically searches for the best hyperparameter configurations and performance for training and inference on any given distributed GPU cluster configuration.

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

Artificial intelligence developers interested in a powerful framework to build and deploy large language models

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
Open source. Consumption-based.
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

NVIDIA
Founded: 1993
United States
developer.nvidia.com/nemo/megatron

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

Cerebras-GPT

Cerebras-GPT

Cerebras

Alternatives

NVIDIA NeMo

NVIDIA NeMo

NVIDIA
GPT-NeoX

GPT-NeoX

EleutherAI
Mistral NeMo

Mistral NeMo

Mistral AI

Categories

Categories

Integrations

Amazon EC2 Trn2 Instances
Amazon EKS
Amazon SageMaker Model Training
Amazon Web Services (AWS)
Anyscale
Azure Kubernetes Service (AKS)
Dask
Databricks
Feast
Flyte
Google Cloud Platform
LanceDB
MLflow
NVIDIA BioNeMo
PyTorch
Python
Snowflake
TensorFlow
Union Cloud
io.net

Integrations

Amazon EC2 Trn2 Instances
Amazon EKS
Amazon SageMaker Model Training
Amazon Web Services (AWS)
Anyscale
Azure Kubernetes Service (AKS)
Dask
Databricks
Feast
Flyte
Google Cloud Platform
LanceDB
MLflow
NVIDIA BioNeMo
PyTorch
Python
Snowflake
TensorFlow
Union Cloud
io.net
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Claim NVIDIA NeMo Megatron and update features and information
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