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Performance & Efficiency

Performance & Efficiency

Data Center Performance.

Edge Efficiency.

From advanced vision to LLMs, GenAI to robotics, Axelera brings AI inference out of the cloud and next to your data.

Our Embedded, Edge, and Server product lines run on the world's most efficient AIPUs, giving you the flexibility to deploy anywhere.

 

 Performance & Efficiency

PwC Middle East and Axelera AI team up

Collaboration combines PwC Middle East’s sector and transformation expertise
with Axelera AI’s inference technology to support the responsible deployment of AI at scale.

PwC_Middle_East_and_Axelera_AI_partner_to_deliver_measurable_AI_outcomes_reduced

Same Amazing Products, Updated Naming

We're aligning our product names with how the market already sees us. Here's what's changing, why, and what it means for products you're already running.

Same Amazing Products, Updated Naming Banner Image

Voyager Wingman

Your Agentic AI Assistant that takes you from idea to pipeline in minutes!

Voyager Wingman is an agent-based tool that will help you build your pipeline, optimize your performance, answer your questions, and deliver better accuracy than with Claude Code alone! 

Introducing Voyager Wingman Banner Image

ASRock Industrial Partners with Axelera on AI Inference

ASRock Industrial today announced a strategic collaboration with Axelera AI to deliver high-performance, power-efficient, and cost-effective AI inference solutions for edge computing. The collaboration integrates Axelera Metis® AIPU cards into ASRock Industrial’s edge AI platforms, delivering a compact, scalable AI inference solution optimised for real-world edge environments.

ASRock Industrial Partners with Axelera on AI Inference

The New Axelera AI Mini PC

Introducing the Axelera AI Mini PC: production-grade AI vision inference, powered by the Axelera Embedded 113m, in a compact form factor built for the factory floor, retail space, or security control room. 

Introducing the New Axelera AI Mini PC Image Banner (1)
Performance & Efficiency
PwC Middle East and Axelera AI team up
Same Amazing Products, Updated Naming
Voyager Wingman
ASRock Industrial Partners with Axelera on AI Inference
The New Axelera AI Mini PC

Data Center
Performance.
Edge Efficiency.

Vision, Agentic 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

Sovereignty

Crafted in Europe, Trusted Worldwide.

Purpose-built AI accelerators that keep your data, your compute, and your analytics under your control. High performance. Low power. No compromise on sovereignty.

Axelera's technology

Digital in‑memory computing.

Compute inside SRAM. The data stops travelling, responses are faster & the watts stop burning.

Up to 5x

performance per dollar

Cost efficiency with no performance compromise

Source: Europa product page, 3-5x performance per dollar, checked 27 Aug 2026.

15

TOPS per watt

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

Source: Metis product page and the axelera.ai homepage, checked 27 Aug 2026.

99.9%

relative accuracy

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

Source: axelera.ai homepage, checked 27 Aug 2026.

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 & performance 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. Physical AI to Enterprise AI.

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 card

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 →

Benchmarks

Ahead on every benchmark

Metis is measured on silicon, Europa is simulated ahead of it, and every figure names its source. A figure without one says so.

Metis

DetectionYOLOv8l, 640 × 640, frames per second

Measured

Axelera Metis

181FPS

Competitor published figure

64FPS
2.8×the competitor's published throughput

640×640 · INT8 · batch 1 · host Intel Core i9-13900K · inference-only · competitor figure published Aug 2026

Source: both figures from axelera.ai/metis-aipu-benchmarks, checked 27 Aug 2026.

ThroughputUltralytics YOLOv7, 640 × 640, frames per second

Measured

Axelera Metis

212FPS

Competitor published figure

100FPS
2.1×the competitor's published throughput

640×640 · INT8 · batch 1 · host Intel Core i9-13900K · inference-only · competitor figure published Aug 2026

Source: both figures from axelera.ai/metis-aipu-benchmarks, checked 27 Aug 2026.

Cost efficiencyYOLOv11l, frames per second per dollar

Measured

Axelera Metis

0.48FPS per $

Competitor published figure

0.24FPS per $
2.0×the RTX A1000's frames per dollar

YOLOv11l · frames per second per dollar · CST benchmark

Source: CST benchmark, Axelera performance engineering, 9 Sep 2026.

Energy efficiencyYOLOv11l, frames per second per watt

Measured

Axelera Metis

16.8FPS/W

Competitor published figure

2.64FPS/W
6.4×the RTX A1000's frames per watt

YOLOv11l · frames per second per watt · CST benchmark

Source: CST benchmark, Axelera performance engineering, 9 Sep 2026.

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. Source: axelera.ai/metis-aipu-benchmarks, checked 27 Aug 2026.

Gold: measured on Axelera silicon.Full benchmark methodology

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 quotes the published YOLOv8l figure.

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

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 →

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 chip1

Typical application power
3.5-9 W4
Memory
up to 16 GB per chip4
LLM capacity
up to 8B parameters source pending
YOLOv8l
181 FPS3
ResNet-50
up to 3,200 FPS1

Announced

Titania

A chiplet that scales the architecture into HPC.

  1. 1Metis product page, axelera.ai/ai-accelerators/aipu/metis, checked 27 Aug 2026.
  2. 2Europa product page and the October 2025 announcement, checked 27 Aug 2026. The 45 W is the published TDP.
  3. 3axelera.ai/metis-aipu-benchmarks, checked 27 Aug 2026.
  4. 4Axelera performance engineering, confirmed 1 Sep 2026. The Qwen3-30B-A3B figure is a pre-silicon simulation: 1,024-token context at W8A8 with an 8-bit KV cache, single user, one chip. LLM capacity is a single-chip figure; model size scales with chip count in multi-chip cards and systems.
  5. source pendingNot yet confirmed by Axelera's performance engineering.
  6. to be confirmedMeasured on Europa silicon, held until Axelera signs off its Europa figures.

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.

axelera-wingman-wordmark

Axelera Wingman: the agentic AI platform

Purpose-built for Axelera hardware with deep, curated knowledge of the SDK and documentation: Axelera 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.
Ecosystem

Partner Accelerator Network

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

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