+
+

Related Products

  • Runpod
    230 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    366 Ratings
    Visit Website
  • Addigy
    261 Ratings
    Visit Website
  • Daylight
    11 Ratings
    Visit Website
  • Proton Pass
    31,996 Ratings
    Visit Website
  • SiteMinder
    671 Ratings
    Visit Website
  • Qminder
    340 Ratings
    Visit Website

About

Mirai is a developer-focused on-device AI infrastructure platform designed to convert, optimize, and run machine learning models directly on Apple devices with high performance and privacy. It provides a unified pipeline that enables teams to convert and quantize models, benchmark them, distribute them, and execute inference locally. It is built specifically for Apple Silicon and aims to deliver near-zero latency, zero inference cost, and full data privacy by keeping sensitive processing on the user’s device. Through its SDK and inference engine, developers can integrate AI features into applications quickly, using hardware-aware optimizations that unlock the full power of the GPU and Neural Engine. Mirai also includes dynamic routing capabilities that automatically decide whether a request should run locally or in the cloud based on latency, privacy, or workload requirements.

About

oMLX is a macOS-native MLX server designed to make local AI faster and more practical on Apple Silicon. Built for the way coding agents actually work, it uses paged SSD KV caching to persist cache blocks to disk, allowing previously seen prefixes to be restored across requests and server restarts instead of being recomputed from scratch. This can reduce time to first token on long contexts from 30–90 seconds to under five seconds after the first turn. Continuous batching handles concurrent requests through mlx-lm’s BatchGenerator, improving generation throughput without forcing requests to wait behind a single job. oMLX can serve LLMs, vision-language models, embedding models, and rerankers simultaneously, using LRU eviction when memory runs low. It supports any MLX-format model from Hugging Face, including Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can reuse models already stored in the standard Hugging Face cache, LM Studio folders, or custom directories.

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 and product teams that need to deploy and run optimized machine learning models directly on Apple devices for faster, private inference

Audience

Developers and AI power users needing to run fast local LLM inference and agentic coding workflows on Apple Silicon

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

No information available.
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

Mirai
Founded: 2024
United States
trymirai.com

Company Information

oMLX
United States
omlx.ai/

Alternatives

Alternatives

Photon

Photon

Moondream
Run BiOS

Run BiOS

UltraSafe AI Inc.
BaseRT

BaseRT

Base Compute
Macyou

Macyou

Macyou LLC

Categories

Categories

Integrations

Llama
Anthropic
Claude Code
Cursor
DeepSeek R1
GLM-4.1V
Gemma
Gemma
Gemma 4
GitHub
JSON
LFM-3B
MiniMax
Mistral AI
Model Context Protocol (MCP)
OpenClaw
Polaris
Qwen
Qwen3
gpt-oss-120b

Integrations

Llama
Anthropic
Claude Code
Cursor
DeepSeek R1
GLM-4.1V
Gemma
Gemma
Gemma 4
GitHub
JSON
LFM-3B
MiniMax
Mistral AI
Model Context Protocol (MCP)
OpenClaw
Polaris
Qwen
Qwen3
gpt-oss-120b
Claim Mirai and update features and information
Claim Mirai and update features and information
Claim oMLX and update features and information
Claim oMLX and update features and information