+
+

Related Products

  • Vertex AI
    743 Ratings
    Visit Website
  • LM-Kit.NET
    22 Ratings
    Visit Website
  • Enterprise Bot
    23 Ratings
    Visit Website
  • Bitrise
    385 Ratings
    Visit Website
  • Amazon Bedrock
    79 Ratings
    Visit Website
  • Google Cloud Run
    286 Ratings
    Visit Website
  • Google AI Studio
    10 Ratings
    Visit Website
  • RunPod
    180 Ratings
    Visit Website
  • Twilio
    1,319 Ratings
    Visit Website
  • Cloudflare
    1,882 Ratings
    Visit Website

About

Llama Stack is a modular framework designed to streamline the development of applications powered by Meta's Llama language models. It offers a client-server architecture with flexible configurations, allowing developers to mix and match various providers for components such as inference, memory, agents, telemetry, and evaluations. The framework includes pre-configured distributions tailored for different deployment scenarios, enabling seamless transitions from local development to production environments. Developers can interact with the Llama Stack server using client SDKs available in multiple programming languages, including Python, Node.js, Swift, and Kotlin. Comprehensive documentation and example applications are provided to assist users in building and deploying Llama-based applications efficiently.

About

The Xilinx’s AI development platform for AI inference on Xilinx hardware platforms consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx FPGA and ACAP. Supports mainstream frameworks and the latest models capable of diverse deep learning tasks. Provides a comprehensive set of pre-optimized models that are ready to deploy on Xilinx devices. You can find the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers

Audience

Developers requiring an adaptable and real-time AI inference acceleration solution to build accelerated applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
github.com/meta-llama/llama-stack

Company Information

Xilinx
Founded: 1984
United States
www.xilinx.com/products/design-tools/vitis/vitis-ai.html

Alternatives

Alternatives

Llama 3

Llama 3

Meta

Categories

Categories

Integrations

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

Integrations

Allegro X Design Platform
Amazon Web Services (AWS)
LDRA Tool Suite
ModelSim
OrCAD X
Pulsonix
TensorFlow
ZEDEDA
Claim Llama Stack and update features and information
Claim Llama Stack and update features and information
Claim Xilinx and update features and information
Claim Xilinx and update features and information