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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon SageMaker HyperPod is a specialized and robust computing infrastructure designed to streamline and speed up the creation of extensive AI and machine learning models by managing distributed training, fine-tuning, and inference across numerous clusters equipped with hundreds or thousands of accelerators, such as GPUs and AWS Trainium chips. By alleviating the burdens associated with developing and overseeing machine learning infrastructure, it provides persistent clusters capable of automatically identifying and rectifying hardware malfunctions, resuming workloads seamlessly, and optimizing checkpointing to minimize the risk of interruptions — thus facilitating uninterrupted training sessions that can last for months. Furthermore, HyperPod features centralized resource governance, allowing administrators to establish priorities, quotas, and task-preemption rules to ensure that computing resources are allocated effectively among various tasks and teams, which maximizes utilization and decreases idle time. It also includes support for “recipes” and pre-configured settings, enabling rapid fine-tuning or customization of foundational models, such as Llama. This innovative infrastructure not only enhances efficiency but also empowers data scientists to focus more on developing their models rather than managing the underlying technology.

Description

NeuReality enhances the potential of artificial intelligence by providing an innovative solution that simplifies complexity, reduces costs, and minimizes power usage. Although several companies are working on Deep Learning Accelerators (DLAs) for implementation, NeuReality stands out by integrating a software platform specifically designed to optimize the management of distinct hardware infrastructures. It uniquely connects the AI inference infrastructure with the MLOps ecosystem, creating a seamless interaction. The organization has introduced a novel architectural design that harnesses the capabilities of DLAs effectively. This new architecture facilitates inference via hardware utilizing AI-over-fabric, an AI hypervisor, and AI-pipeline offload, paving the way for more efficient AI processing. By doing so, NeuReality not only addresses current challenges in AI deployment but also sets a new standard for future advancements in the field.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS EC2 Trn3 Instances Yes 
AWS Trainium Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 

Integrations

AWS EC2 Trn3 Instances No 
AWS Trainium No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/ai/hyperpod/

Vendor Details

Company Name

NeuReality

Founded

2019

Country

Israel

Website

www.neureality.ai/

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 No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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