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What is Mirai?

Mirai stands out as a sophisticated platform designed specifically for developers, focusing on on-device AI infrastructure that facilitates the conversion, optimization, and execution of machine learning models right on Apple devices, all while prioritizing performance and user privacy. With a streamlined workflow, teams can effectively convert and quantize models, evaluate their performance, distribute them, and perform local inference without any hassle. Tailored for Apple Silicon, Mirai aims to deliver near-zero latency and eliminate inference costs, ensuring that the processing of sensitive data remains entirely on the user's device for enhanced security. Its comprehensive SDK and inference engine empower developers to quickly embed AI capabilities into their applications, utilizing hardware-aware optimizations to fully harness the potential of the GPU and Neural Engine. Additionally, Mirai incorporates dynamic routing features that smartly decide on the optimal execution path for tasks, whether it be executing locally or accessing cloud resources, while considering important factors like latency, privacy, and workload requirements. This adaptability not only improves the overall user experience but also equips developers with the tools to craft more responsive and efficient applications that cater specifically to the needs of their users, ultimately driving innovation in the realm of on-device AI.

What is FriendliAI?

FriendliAI is an innovative platform that acts as an advanced generative AI infrastructure, designed to offer quick, efficient, and reliable inference solutions specifically for production environments. This platform is loaded with a variety of tools and services that enhance the deployment and management of large language models (LLMs) and diverse generative AI applications on a significant scale. One of its standout features, Friendli Endpoints, allows users to develop and deploy custom generative AI models, which not only lowers GPU costs but also accelerates the AI inference process. Moreover, it ensures seamless integration with popular open-source models found on the Hugging Face Hub, providing users with exceptionally rapid and high-performance inference capabilities. FriendliAI employs cutting-edge technologies such as Iteration Batching, the Friendli DNN Library, Friendli TCache, and Native Quantization, resulting in remarkable cost savings (between 50% and 90%), a drastic reduction in GPU requirements (up to six times fewer), enhanced throughput (up to 10.7 times), and a substantial drop in latency (up to 6.2 times). As a result of its forward-thinking strategies, FriendliAI is establishing itself as a pivotal force in the dynamic field of generative AI solutions, fostering innovation and efficiency across various applications. This positions the platform to support a growing number of users seeking to harness the power of generative AI for their specific needs.

Media

Media

Integrations Supported

Gemma 3
Gemma 4
DeepSeek R1
LFM-3B
Llama
Polaris
Qwen3
SmolLM2

Integrations Supported

Gemma 3
Gemma 4
Amazon Web Services (AWS)
DeepSeek
Hugging Face
Kubernetes
LangChain
LiteLLM
Meta AI
Microsoft Azure
MongoDB
Prometheus
Qwen
Weaviate

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

$5.9 per hour
Free Version

Supported Platforms

SaaS
iPhone
iPad
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Mirai

Date Founded

2024

Company Location

United States

Company Website

trymirai.com

Company Facts

Organization Name

FriendliAI

Date Founded

2021

Company Location

United States

Company Website

friendli.ai/

Categories and Features

AI Inference

Not specified

Categories and Features

AI Fine-Tuning

Not specified

AI Inference

Not specified

Generative AI

Not specified

LLM API

Not specified

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