DeepSpeed

DeepSpeed

Microsoft
+

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About

Amazon SageMaker Model Training reduces the time and cost to train and tune machine learning (ML) models at scale without the need to manage infrastructure. You can take advantage of the highest-performing ML compute infrastructure currently available, and SageMaker can automatically scale infrastructure up or down, from one to thousands of GPUs. Since you pay only for what you use, you can manage your training costs more effectively. To train deep learning models faster, SageMaker distributed training libraries can automatically split large models and training datasets across AWS GPU instances, or you can use third-party libraries, such as DeepSpeed, Horovod, or Megatron. Efficiently manage system resources with a wide choice of GPUs and CPUs including P4d.24xl instances, which are the fastest training instances currently available in the cloud. Specify the location of data, indicate the type of SageMaker instances, and get started with a single click.

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.

About

Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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 in need of a solution to train ML models quickly and cost effectively

Audience

Deep learning model developers

Audience

Developers interested in a language for building maintainable programs

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
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

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

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

Company Information

V Programming Language
United States
vlang.io

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services

Alternatives

Alternatives

Swift

Swift

Apple
AWS Neuron

AWS Neuron

Amazon Web Services
MXNet

MXNet

The Apache Software Foundation
Caffe

Caffe

BAIR
Zig

Zig

Zig Software Foundation

Categories

Categories

Categories

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
Axolotl
BERT
C
Cake AI
CodeGPT
Comet LLM
DALL·E 2
Helix Editor
Hugging Face
JavaScript
Lapce
NVIDIA NeMo Megatron
Nurix
PyTorch
Python
TensorFlow

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
Axolotl
BERT
C
Cake AI
CodeGPT
Comet LLM
DALL·E 2
Helix Editor
Hugging Face
JavaScript
Lapce
NVIDIA NeMo Megatron
Nurix
PyTorch
Python
TensorFlow

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
Axolotl
BERT
C
Cake AI
CodeGPT
Comet LLM
DALL·E 2
Helix Editor
Hugging Face
JavaScript
Lapce
NVIDIA NeMo Megatron
Nurix
PyTorch
Python
TensorFlow
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