Deploy and run models of any architecture on

devices

devices

On-device layer for AI model makers & products

On-device layer for AI model makers & products

On-device layer for AI model makers & products

Deploy and run models of any architecture on

devices

On-device layer for AI model makers and products.

Trusted + backed by leading AI funds and individuals

Trusted + backed by leading AI funds and individuals

Trusted + backed by leading AI funds & individuals

Trusted + backed by leading AI funds & individuals

Users don’t care where your model runs. They care how it feels

Keep your inference backend. Add Mirai to expose part of your pipeline on user devices

Build real-time AI experiences with on-device inference

Fast text responses

Instant, private inference

Instant on-device inference for UX-critical flows

Near-zero latency and full data privacy

Real-time audio, on device

Speech-to-text and text-to-speech without round trips to the cloud

Offline continuity

Instant, private inference

AI keeps working with no network connection

Consistent latency

Stable response times, even under load

Free your cloud GPUs for what truly needs scale

Keep your inference backend. Add Mirai to expose part of your pipeline on user devices

Run your models natively on Apple devices

Privacy is native

Privacy is native

Instant, private inference

Local inference filters, analyzes, and syncs only what’s safe. Giving full trust and control

Near-zero latency and full data privacy

Cloud stays essential

Cloud stays essential

Instant, private inference

Keep your existing infrastructure. Let it focus on what the cloud does best: training, reasoning, and scale

Near-zero latency and full data privacy

Devices got powerful

Devices got powerful

Instant, private inference

Modern computer and mobile chips can now run real inference. Use that local power

Near-zero latency and full data privacy

We are the fastest on-device inference engine, built from scratch

We are the fastest on-device inference engine, built from scratch

Outperforming Apple MLX and llama.cpp on supported models

Keep your inference backend. Add Mirai to expose part of your pipeline on user devices

Mirai vs Apple MLX vs Llama.cpp

Apple M1 Max

32gb

llamba-1B

+37.88%

Generation speed advantage

+4.94%

Prefill speed advantage

-72.92%

Memory usage advantage

269.57

Peak generation speed, t/s

+37.88%

Generation speed advantage

+4.94%

Prefill speed advantage

-72.92%

Memory usage advantage

269.57

Peak generation speed, t/s

Token generation speed

Prefill speed

Time to first token

Memory usage

Token generation speed

Measured in tokens per second (higher is better)

Llamba-1B-4bit-mlx

Mirai

267.31

MLX

193.87

llama.cpp

180.21

Llamba-1B-8bit-mlx

Mirai

178.44

MLX

137.07

llama.cpp

123.33

Llamba-3B-4bit-mlx

Mirai

114.12

MLX

86.96

llama.cpp

72.57

Llamba-8B-8bit-mlx

Mirai

35.58

MLX

25.73

llama.cpp

16.31

Llamba-1B-4bit-mlx

Mirai

267.31

MLX

193.87

llama.cpp

180.21

Llamba-1B-8bit-mlx

Mirai

178.44

MLX

137.07

llama.cpp

123.33

Llamba-3B-4bit-mlx

Mirai

114.12

MLX

86.96

llama.cpp

72.57

Llamba-8B-8bit-mlx

Mirai

35.58

MLX

25.73

llama.cpp

16.31

We support all
major SOTA models

We support all
major SOTA models

We support all
major SOTA models

We support all
major SOTA models

  • Gemma

  • Polaris

  • HuggingFace

  • DeepSeek

  • Llama

  • Qwen

Built for developers

Easily integrate modern AI pipelines into your app

Free 10K Devices

Try Mirai SDK for free

Drop-in SDK for local + cloud inference.

Model conversion + quantization handled.

Local-first workflows for text, audio, vision.

One developer can get it all running in minutes.

Run models on-device or in the cloud. Using the same API

Run models on-device or in the cloud. Using the same API

Run models on-device or in the cloud. Using the same API

Run models on-device or in the cloud. Using the same API

We’ve partnered with Baseten to give you full control over where inference runs. Without changing your code

FAQ
in progress

FAQ
in progress

FAQ
in progress

FAQ
in progress

Free your cloud.
Run your models locally

Free your cloud.
Run your models locally

Free your cloud.
Run your models locally

Free your cloud.
Run your models locally

Deploy and run models of any architecture directly on user devices

Choose which developers can access models.