How DroneStar AI Scaled One Operator into a Whole Pack

Axelera's technology

Digital in‑memory computing.

Compute inside SRAM. The data stops travelling, the watts stop burning.

  • UP TO

    5x

    PERFORMANCE PER DOLLAR

    Cost efficiency with no performance compromise

  • 15

    TOPS PER WATT

    Demanding workloads without the power, the cost or the heat.

  • 99.9%

    RELATIVE ACCURACY

    Post-training quantization preserves FP32-equivalent accuracy with no retraining

  • UP TO

    5x

    PERFORMANCE PER DOLLAR

    Cost efficiency with no performance compromise

  • 15

    TOPS PER WATT

    Demanding workloads without the power, the cost or the heat.

  • UP TO

    5x

    PERFORMANCE PER DOLLAR

    Cost efficiency with no performance compromise

Three ways to deploy.

  • Embedded

    AI in the machine: M.2 modules and single-board computers

  • Edge

    AI next to your data: PCIe cards for edge servers and industrial PCs

  • Server

    AI at data center scale: multi-AIPU cards that bring inference density to racks and supercomputers.

Benchmarks

Ahead on every benchmark.

  • Detection

    YOLOv8l, 640 × 640, frames per second

    Axelera Metis

    0 FPS

    Competitor

    0 FPS
    0x
  • Throughput

    Ultralytics YOLOv7, 640 × 640, frames per second

    Axelera Metis

    0 FPS

    Competitor

    0 FPS
    0x
  • Energy efficiency

    TOPS per watt at INT8

    Axelera Metis

    0 TOPS/W

    Competitor

    0 TOPS/W
Examples

Axelera in action

Real-use cases running on Axelera silicon

  • TILED INFERENCE high-resolution scenes sliced into sections, so small objects stay detectable

  • TILED INFERENCE high-resolution scenes sliced into sections, so small objects stay detectable

  • Placeholder

    TILED INFERENCE high-resolution scenes sliced into sections, so small objects stay detectable

Silicon

Three generations, one architecture

One architecture that spans embedded to rack-scale deployments

Shipping
Metis Die 640

Metis®

Quad-core AIPU

0 TOPS per chip
  • Typical application power 3.5-9 W
  • Memory up to 16 GB per chip
  • LLM capacity up to 8B parameters
  • YOLOv8l 181 FPS
  • ResNet-50 up to 3,200 FPS
Next generation
Europa

Europa

Double the cores, sixteen vector units, pre/post-processing on die.

0 TOPS per chip
  • TDP 45 W per card
  • Typical power 30-40 W
  • Memory up to 64 GB per chip
  • LLM capacity up to 32B parameters
  • Qwen3-30B-A3B 53.5 tokens/s
Announced
Titania

Titania

A chiplet that scales the architecture into HPC.

Embedded · Edge · Server

From Chip to Complete System

Choose how you deploy.

  • Embedded

    Embedded 110m

    M.2 2280 M-key accelerator card

  • Embedded

    Embedded 113m

    M.2 2280 M-key accelerator card

  • Embedded

    Embedded 111c

    Single-board computer · mini-ITX · RK3588 host with 16 GB LPDDR4

  • Embedded

    Embedded 110m

    M.2 2280 M-key accelerator card

  • Embedded

    Embedded 113m

    M.2 2280 M-key accelerator card

  • Embedded

    Embedded 111c

    Single-board computer · mini-ITX · RK3588 host with 16 GB LPDDR4

Solutions

One platform, multiple end-users

  • Industrial Manufacturing

    Edge AI for machine vision and Industry 4.0 equipment, raising productivity in production lines and warehouses.

  • Industrial Manufacturing

    Edge AI for machine vision and Industry 4.0 equipment, raising productivity in production lines and warehouses.

  • Industrial Manufacturing

    Edge AI for machine vision and Industry 4.0 equipment, raising productivity in production lines and warehouses.

  • Industrial Manufacturing

    Edge AI for machine vision and Industry 4.0 equipment, raising productivity in production lines and warehouses.

  • Industrial Manufacturing

    Edge AI for machine vision and Industry 4.0 equipment, raising productivity in production lines and warehouses.

  • Industrial Manufacturing

    Edge AI for machine vision and Industry 4.0 equipment, raising productivity in production lines and warehouses.

From model to production, powered by the Voyager® SDK

Everything you need to build, faster.

One toolchain, every deployment: describe your pipeline in YAML and the Voyager SDK compiles, quantizes and runs it on any Axelera product line, with no retraining required.

VOYAGERS.SDK
Voyager SDK: the end-to-end software stack

Purpose-built for AI inference: a declarative YAML pipeline language, 100+ supported models through one toolchain, and API compatibility with industry standards. From idea to deployment quickly, with deep customization when you need it.

Describe the workflow in plain language; Voyager Wingman creates and deploys it on device.

Ten questions with Axelera AI’s Scientific Advisor Luca Benini

Describe the workflow in plain language; Voyager Wingman creates and deploys it on device.

Describe the workflow in plain language; Voyager Wingman creates and deploys it on device.

Partner Accelerator Network

Complete solutions, together.

From hardware to software to distribution, Axelera partners with leading companies to deliver complete AI solutions.

Axiomtek
Digeiz
Lenovo
What's new

Latest news.

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Partner Accelerator Network

What do you need?

  • Not sure which card?

    Find the right card with Voyager Wingman.

    Describe the workload, the box and the power constraints. Voyager Wingman knows the line-up.

  • Ready to test

    Go straight to the shop.

    Describe the workload, the box and the power constraints. Voyager Wingman knows the line-up.

  • Not sure which card?

    Find the right card with Voyager Wingman.

    Describe the workload, the box and the power constraints. Voyager Wingman knows the line-up.