DeepSpeed

DeepSpeed

Microsoft
+
+

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About

Amazon SageMaker HyperPod is a purpose-built, resilient compute infrastructure that simplifies and accelerates the development of large AI and machine-learning models by handling distributed training, fine-tuning, and inference across clusters with hundreds or thousands of accelerators, including GPUs and AWS Trainium chips. It removes the heavy lifting involved in building and managing ML infrastructure by providing persistent clusters that automatically detect and repair hardware failures, automatically resume workloads, and optimize checkpointing to minimize interruption risk, enabling months-long training jobs without disruption. HyperPod offers centralized resource governance; administrators can set priorities, quotas, and task-preemption rules so compute resources are allocated efficiently among tasks and teams, maximizing utilization and reducing idle time. It also supports “recipes” and pre-configured settings to quickly fine-tune or customize foundation models.

About

DeepSpeed is an open source deep learning optimization library for PyTorch. It's designed to reduce computing power and memory use, and to train large distributed models with better parallelism on existing computer hardware. DeepSpeed is optimized for low latency, high throughput training. DeepSpeed can train DL models with over a hundred billion parameters on the current generation of GPU clusters. It can also train up to 13 billion parameters in a single GPU. DeepSpeed is developed by Microsoft and aims to offer distributed training for large-scale models. It's built on top of PyTorch, which specializes in data parallelism.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data scientists, AI engineers, and organizations interested in a solution to accelerate training and deployment while minimizing operational overhead

Audience

Deep learning model developers

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/ai/hyperpod/

Company Information

Microsoft
Founded: 1975
United States
www.deepspeed.ai/

Alternatives

Tinker

Tinker

Thinking Machines Lab

Alternatives

GPT-NeoX

GPT-NeoX

EleutherAI
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

AI Development Supported
AI Fine-Tuning Supported

Categories

AI Development Supported
Deep Learning Supported

Integrations

AWS EC2 Trn3 Instances Supported
AWS Trainium Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Axolotl Not Supported
Cake AI Not Supported
Comet LLM Not Supported
Nurix Not Supported
PyTorch Not Supported
Python Not Supported

Integrations

AWS EC2 Trn3 Instances Not Supported
AWS Trainium Not Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
Axolotl Supported
Cake AI Supported
Comet LLM Supported
Nurix Supported
PyTorch Supported
Python Supported
Claim Amazon SageMaker HyperPod and update features and information
Claim Amazon SageMaker HyperPod and update features and information
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Claim DeepSpeed and update features and information