Edge Efficiency,
Data Center
Performance.

Vision and Gen AI running on the world's most efficient silicon, from embedded to edge to server

Site safety workers and vests tracked around moving plant
Gen AI, illustration open models running locally on Axelera silicon

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

Axelera products

One architecture, three ways to deploy.

Metis AIPU opening into its layers
The chip multiplies into four
Four chips dock onto the PCIe card
Digital in-memory computing

The array becomes the chip

Inside our cores

Multi-core architecture, with all the compute you need

No compromise

99.9% accuracy on the most demanding AI workloads

Scaling

Chips that work together

A card for every use-case

Embedded to edge to server

Software Development Kit

One platform for any model

Scale

Deploy from robot to rack

From silicon to data center

One chip becomes the whole stack.

Chip, card, server, rack, data center: one architecture at every scale.

Three ways to deploy.

Axelera Edge 130p PCIe cardAxelera Edge 130p PCIe card cooling detail

Edge

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

Explore Edge →
Server 150p with four Metis AIPUsEuropa PCIe card

Server

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

Explore Server →

Examples

Axelera in action

Real-use cases running on Axelera silicon

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

SEGMENTATION AND DETECTION self-checkout: shopper, basket, bags and products masked and labelled, 18.6 to 22.6 fps end to end

PPE DETECTION hard-hat compliance across a wall of 24 live streams, with the host CPU at 4%

LLM, illustration an on-device language model answering across twelve camera streams

Silicon

Three generations, one architecture

One architecture that spans embedded to rack-scale deployments

Shipping

Metis AIPU package

Metis®

Quad-core AIPU

214 TOPS per chip

Average power
4-8 W
Memory
up to 16 GB per chip
LLM capacity
up to 8B parameters
YOLOv8s
653 FPS, see note
ResNet-50
up to 3,200 FPS

Announced

Titania™

A chiplet that scales the architecture into HPC.

Same job. Different silicon.

Benchmark figures

Throughput

Ultralytics YOLOv7 at 640 x 640, frames per second, higher is better

Competitor
0
Axelera Metis
0

2.1x the competitor throughput Axelera publishes

Across the six networks with a published competitor figure: SSD-MobileNet v2 2,024 against 784; YOLOv5m 456 against 156; YOLOv7 212 against 100; YOLOv8s 610 against 491; YOLOv8m 235 against 149; YOLOv8l 181 against 64.

Cost efficiency

ResNet50v1 frames per second per dollar, higher is better

Competitor
0
Axelera Metis
0

3x the frames per second per dollar shown

Energy efficiency

TOPS per watt at INT8, higher is better

Competitor
0
Axelera Metis
0

4x the TOPS per watt shown

Throughput is measured host-side on a system with an Intel Core i9-13900K, and Axelera notes that the competitor data was obtained from public sources as of August 2026. The three-generation table above quotes Axelera’s accelerator comparison, which lists the same network at 653 FPS. Metis AIPU benchmarks

Embedded · Edge · Server

From Chip to Complete System

Choose how you deploy.

Axelera Embedded 110m M.2 accelerator card with active cooling

Embedded

Embedded 110m

M.2 2280 M-key accelerator card

Order →
Axelera Embedded 111c single-board computer

Embedded

Embedded 111c

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

Order →
Axelera Edge 130p PCIe accelerator card with active cooling

Edge

Edge 130p

Half-height, half-length PCIe card

Order →
Server 150p PCIe card with four Metis AIPUs

Server

Server 150p

Full-length, full height PCIe card · four Metis AIPUs

Order →
Europa PCIe card with heatsink

Next generation

Europa™ PCIe card (announced)

PCIe card · next-generation AIPU · not yet shipping

Learn more →

Solutions

One platform, multiple end-users

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.

Voyager 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.

Voyager Wingman

Voyager Wingman: the agentic AI platform

Purpose-built for Axelera hardware with deep, curated knowledge of the SDK and documentation: Voyager Wingman builds, debugs and optimizes inference pipelines from natural language, at 20 to 30% higher accuracy than general-purpose AI coding tools.

Describe the workflow in plain language; Voyager Wingman creates and deploys it on device.
The running pipeline, inspected on real Metis silicon without leaving the desk.

Partner Accelerator Network

Complete solutions, together.

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

Advantech Aetina AI Tech Aiko Aizoon Almawave Archetipi digitali Arduino AsRock Astute Axiomtec BCD C&T Solution Cidev DeGirium DELL Digica DOD Solutions EuroComponent Innowise Kudelski Lenovo Macnica Marubun MCM Japan Melchioni Meridian MICROIP Micron Mologica Systems Nisko OEC Okaya Electronics Open Nebula ORA Prodrive RidgeRun RinfTech Robovision Rutronik SECO ServerDirect Silicon Smart Station SpanIdea Synthera Ultralytics WebOccult Xebia Advantech Aetina AI Tech Aiko Aizoon Almawave Archetipi digitali Arduino AsRock Astute Axiomtec BCD C&T Solution Cidev DeGirium DELL Digica DOD Solutions EuroComponent Innowise Kudelski Lenovo Macnica Marubun MCM Japan Melchioni Meridian MICROIP Micron Mologica Systems Nisko OEC Okaya Electronics Open Nebula ORA Prodrive RidgeRun RinfTech Robovision Rutronik SECO ServerDirect Silicon Smart Station SpanIdea Synthera Ultralytics WebOccult Xebia

Meet the network.

What's new

Latest news.

Developers first

Built with the community.

Developers, integrators and researchers building on Axelera hardware swap pipelines, benchmarks and answers every day. The messages shown here are illustrations of that traffic.

Join the community

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