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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.
Description
Xilinx's AI development platform for inference on its hardware includes a suite of optimized intellectual property (IP), tools, libraries, models, and example designs, all crafted to maximize efficiency and user-friendliness. This platform unlocks the capabilities of AI acceleration on Xilinx’s FPGAs and ACAPs, accommodating popular frameworks and the latest deep learning models for a wide array of tasks. It features an extensive collection of pre-optimized models that can be readily deployed on Xilinx devices, allowing users to quickly identify the most suitable model and initiate re-training for specific applications. Additionally, it offers a robust open-source quantizer that facilitates the quantization, calibration, and fine-tuning of both pruned and unpruned models. Users can also take advantage of the AI profiler, which performs a detailed layer-by-layer analysis to identify and resolve performance bottlenecks. Furthermore, the AI library provides open-source APIs in high-level C++ and Python, ensuring maximum portability across various environments, from edge devices to the cloud. Lastly, the efficient and scalable IP cores can be tailored to accommodate a diverse range of application requirements, making this platform a versatile solution for developers.
API Access
Has API
API Access
Has API
Integrations
Allegro X Design Platform
Amazon Web Services (AWS)
LDRA Tool Suite
ModelSim
OrCAD X
Pulsonix
Rapita Verification Suite
TensorFlow
ZEDEDA
Integrations
Allegro X Design Platform
Amazon Web Services (AWS)
LDRA Tool Suite
ModelSim
OrCAD X
Pulsonix
Rapita Verification Suite
TensorFlow
ZEDEDA
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NeuReality
Founded
2019
Country
Israel
Website
www.neureality.ai/
Vendor Details
Company Name
Xilinx
Founded
1984
Country
United States
Website
www.xilinx.com/products/design-tools/vitis/vitis-ai.html
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization