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Average Ratings 0 Ratings
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
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
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
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