Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Develop, train, and implement your models in the cloud by utilizing cutting-edge IPU AI systems alongside your preferred frameworks, partnering with our cloud service providers. This approach enables you to reduce compute expenses while effortlessly scaling to extensive IPU resources whenever required. Begin your journey with IPUs now, taking advantage of on-demand pricing and complimentary tier options available through our cloud partners. We are confident that our Intelligence Processing Unit (IPU) technology will set a global benchmark for machine intelligence computation. The Graphcore IPU is poised to revolutionize various industries, offering significant potential for positive societal change, ranging from advancements in drug discovery and disaster recovery to efforts in decarbonization. As a completely novel processor, the IPU is specifically engineered for AI computing tasks. Its distinctive architecture empowers AI researchers to explore entirely new avenues of work that were previously unattainable with existing technologies, thereby facilitating groundbreaking progress in machine intelligence. In doing so, the IPU not only enhances research capabilities but also opens doors to innovations that could reshape our future.

Description

Llama Stack is an innovative modular framework aimed at simplifying the creation of applications that utilize Meta's Llama language models. It features a client-server architecture with adaptable configurations, giving developers the ability to combine various providers for essential components like inference, memory, agents, telemetry, and evaluations. This framework comes with pre-configured distributions optimized for a range of deployment scenarios, facilitating smooth transitions from local development to live production settings. Developers can engage with the Llama Stack server through client SDKs that support numerous programming languages, including Python, Node.js, Swift, and Kotlin. In addition, comprehensive documentation and sample applications are made available to help users efficiently construct and deploy applications based on the Llama framework. The combination of these resources aims to empower developers to build robust, scalable applications with ease.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cirrascale
Hugging Face
Keras
PaddlePaddle
PyTorch
TensorFlow

Integrations

Cirrascale
Hugging Face
Keras
PaddlePaddle
PyTorch
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Graphcore

Founded

2016

Country

United Kingdom

Website

www.graphcore.ai/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

github.com/meta-llama/llama-stack

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

Alternatives

Alternatives

SambaNova Reviews

SambaNova

SambaNova Systems