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Write a Review

Description

It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions.

Description

Models may be fleeting, but pipelines have a lasting presence. The cycle of training, evaluating, deploying, and repeating is essential. Valohai stands out as the sole MLOps platform that fully automates the entire process, from data extraction right through to model deployment. Streamline every aspect of this journey, ensuring that every model, experiment, and artifact is stored automatically. You can deploy and oversee models within a managed Kubernetes environment. Simply direct Valohai to your code and data, then initiate the process with a click. The platform autonomously launches workers, executes your experiments, and subsequently shuts down the instances, relieving you of those tasks. You can work seamlessly through notebooks, scripts, or collaborative git projects using any programming language or framework you prefer. The possibilities for expansion are limitless, thanks to our open API. Each experiment is tracked automatically, allowing for easy tracing from inference back to the original data used for training, ensuring full auditability and shareability of your work. This makes it easier than ever to collaborate and innovate effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Deep Learning AMIs Yes 
AWS Deep Learning Containers Yes 
AWS Trainium 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 EKS Yes 
Amazon EKS Anywhere Yes 
Amazon Elastic Container Service (Amazon ECS) Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Microsoft Azure No 
WEKA No 

Integrations

AWS Deep Learning AMIs No 
AWS Deep Learning Containers No 
AWS Trainium 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 EKS No 
Amazon EKS Anywhere No 
Amazon Elastic Container Service (Amazon ECS) No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
Microsoft Azure Yes 
WEKA Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$560 per month
Free Trial Yes 
Free Version Yes 

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) Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon Web Services

Founded

2006

Country

United States

Website

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

Vendor Details

Company Name

Valohai

Founded

2016

Country

Finland

Website

valohai.com

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

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 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics Yes 
Process/Workflow Automation Yes 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Deep Learning

Convolutional Neural Networks Yes 
Document Classification Yes 
Image Segmentation Yes 
ML Algorithm Library Yes 
Model Training Yes 
Neural Network Modeling Yes 
Self-Learning Yes 
Visualization Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates Yes 
Visualization Yes 

Predictive Analytics

AI / Machine Learning Yes 
Benchmarking Yes 
Data Blending No 
Data Mining No 
Demand Forecasting Yes 
For Education No 
For Healthcare No 
Modeling & Simulation Yes 
Sentiment Analysis No 

Alternatives

Alternatives

AWS Neuron Reviews

AWS Neuron

Amazon Web Services