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Description
Pushing the boundaries of AI processors and accelerating edge AI inference is essential in today’s technological landscape. In scenarios where rapid AI inference is crucial, demands for increased TOPS, reduced latency, enhanced area and power efficiency, and scalability are paramount, and EdgeCortix AI processor cores deliver precisely that. While general-purpose processing units like CPUs and GPUs offer a degree of flexibility for various applications, they often fall short when faced with the specific demands of deep neural network workloads. EdgeCortix was founded with a vision: to completely transform edge AI processing from its foundations. By offering a comprehensive AI inference software development environment, adaptable edge AI inference IP, and specialized edge AI chips for hardware integration, EdgeCortix empowers designers to achieve cloud-level AI performance directly at the edge. Consider the profound implications this advancement has for a myriad of applications, including threat detection, enhanced situational awareness, and the creation of more intelligent vehicles, ultimately leading to smarter and safer environments.
Description
NVIDIA TensorRT is a comprehensive suite of APIs designed for efficient deep learning inference, which includes a runtime for inference and model optimization tools that ensure minimal latency and maximum throughput in production scenarios. Leveraging the CUDA parallel programming architecture, TensorRT enhances neural network models from all leading frameworks, adjusting them for reduced precision while maintaining high accuracy, and facilitating their deployment across a variety of platforms including hyperscale data centers, workstations, laptops, and edge devices. It utilizes advanced techniques like quantization, fusion of layers and tensors, and precise kernel tuning applicable to all NVIDIA GPU types, ranging from edge devices to powerful data centers. Additionally, the TensorRT ecosystem features TensorRT-LLM, an open-source library designed to accelerate and refine the inference capabilities of contemporary large language models on the NVIDIA AI platform, allowing developers to test and modify new LLMs efficiently through a user-friendly Python API. This innovative approach not only enhances performance but also encourages rapid experimentation and adaptation in the evolving landscape of AI applications.
API Access
Has API
No
API Access
Has API
Yes
Integrations
PyTorch
Yes
TensorFlow
Yes
Dataoorts GPU Cloud
No
Jupyter Notebook
Yes
Kimi K2
No
Kimi K2.5
No
Kimi K2.6
No
Kimi K2.7 Code
No
Kimi K3
No
LaunchX
No
Integrations
PyTorch
Yes
TensorFlow
Yes
Dataoorts GPU Cloud
Yes
Jupyter Notebook
No
Kimi K2
Yes
Kimi K2.5
Yes
Kimi K2.6
Yes
Kimi K2.7 Code
Yes
Kimi K3
Yes
LaunchX
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
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
Yes
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)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
EdgeCortix
Country
Japan
Website
www.edgecortix.com/en/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/tensorrt
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
