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What is Xilinx?

Xilinx has developed a comprehensive AI platform designed for efficient inference on its hardware, which encompasses a diverse collection of optimized intellectual property (IP), tools, libraries, models, and example designs that enhance both performance and user accessibility. This innovative platform harnesses the power of AI acceleration on Xilinx’s FPGAs and ACAPs, supporting widely-used frameworks and state-of-the-art deep learning models suited for numerous applications. It includes a vast array of pre-optimized models that can be effortlessly deployed on Xilinx devices, enabling users to swiftly select the most appropriate model and commence re-training tailored to their specific needs. Moreover, it incorporates a powerful open-source quantizer that supports quantization, calibration, and fine-tuning for both pruned and unpruned models, further bolstering the platform's versatility. Users can leverage the AI profiler to conduct an in-depth layer-by-layer analysis, helping to pinpoint and address any performance issues that may arise. In addition, the AI library supplies open-source APIs in both high-level C++ and Python, guaranteeing broad portability across different environments, from edge devices to cloud infrastructures. Lastly, the highly efficient and scalable IP cores can be customized to meet a wide spectrum of application demands, solidifying this platform as an adaptable and robust solution for developers looking to implement AI functionalities. With its extensive resources and tools, Xilinx's AI platform stands out as an essential asset for those aiming to innovate in the realm of artificial intelligence.

What is Cerebrium?

Easily implement all major machine learning frameworks such as Pytorch, Onnx, and XGBoost with just a single line of code. In case you don’t have your own models, you can leverage our performance-optimized prebuilt models that deliver results with sub-second latency. Moreover, fine-tuning smaller models for targeted tasks can significantly lower costs and latency while boosting overall effectiveness. With minimal coding required, you can eliminate the complexities of infrastructure management since we take care of that aspect for you. You can also integrate smoothly with top-tier ML observability platforms, which will notify you of any feature or prediction drift, facilitating rapid comparisons of different model versions and enabling swift problem-solving. Furthermore, identifying the underlying causes of prediction and feature drift allows for proactive measures to combat any decline in model efficiency. You will gain valuable insights into the features that most impact your model's performance, enabling you to make data-driven modifications. This all-encompassing strategy guarantees that your machine learning workflows remain both streamlined and impactful, ultimately leading to superior outcomes. By employing these methods, you ensure that your models are not only robust but also adaptable to changing conditions.

Media

Media

Integrations Supported

TensorFlow
Allegro X Design Platform
Amazon Web Services (AWS)
LDRA Tool Suite
ModelSim
OrCAD X
Pulsonix
PyTorch
Rapita Verification Suite
ZEDEDA

Integrations Supported

TensorFlow
Allegro X Design Platform
Amazon Web Services (AWS)
LDRA Tool Suite
ModelSim
OrCAD X
Pulsonix
PyTorch
Rapita Verification Suite
ZEDEDA

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$ 0.00055 per second
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Xilinx

Date Founded

1984

Company Location

United States

Company Website

www.xilinx.com/products/design-tools/vitis/vitis-ai.html

Company Facts

Organization Name

Cerebrium

Company Website

www.cerebrium.ai/

Categories and 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

Categories and 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

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