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.
SOLUTION BRIEF Secure Autonomy at the Edge. AI Security + Computer Vision for Robots. Read the Brief >
BLOG How DroneStar AI Scaled One Operator into a Whole Pack. Read Blog >
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.
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.
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.
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!
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.
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.
Vision, Agentic and Gen AI running on the world's most efficient silicon, from embedded to edge to server.
Sovereignty
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
Compute inside SRAM. The data stops travelling, responses are faster & the watts stop burning.
Up to 5x
Cost efficiency with no performance compromise
Source: Europa product page, 3-5x performance per dollar, checked 27 Aug 2026.
15
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%
Post-training quantization preserves FP32-equivalent accuracy with no retraining
Source: axelera.ai homepage, checked 27 Aug 2026.
Chip, card, server, rack, data center: one architecture at every scale.



Embedded
AI in the machine: M.2 modules and single-board computers
Explore Embedded →
Edge
AI next to your data: PCIe cards for edge servers and industrial PCs
Explore Edge →

Server
AI at data center scale: multi-AIPU cards that bring inference density to racks and supercomputers.
Explore Server →Benchmarks
Metis is measured on silicon, Europa is simulated ahead of it, and every figure names its source. A figure without one says so.
Axelera Metis
Competitor published figure
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.
Axelera Metis
Competitor published figure
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.
Axelera Metis
Competitor published figure
YOLOv11l · frames per second per dollar · CST benchmark
Source: CST benchmark, Axelera performance engineering, 9 Sep 2026.
Axelera Metis
Competitor published figure
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
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
Choose how you deploy.






Next generation
PCIe card · next-generation AIPU · not yet shipping
Learn more →Silicon
One architecture that spans embedded to rack-scale deployments
Next generation

Double the cores, sixteen vector units, pre/post-processing on die.
629 TOPS per chip2
Announced
A chiplet that scales the architecture into HPC.
From model to production, powered by the Voyager® SDK
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.
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.
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.
From hardware to software to distribution, Axelera partners with leading companies to deliver complete AI solutions.
Axelera AI updates its product naming: same technology, clearer names built around Embedded, Edge, and Server designations.
Read MoreUltralytics published a case study on WG Tech Solutions cutting worker safety violations by 28% in a factory, using Ultralytics YOLO running on Axelera...
Read MoreCroatia's Adriatic coast is one of Europe's most celebrated destinations. Millions visit every year for the water, the islands, and the historic coastal...
Read MoreMini PCs Are Running Millions of AI Inferences a Day. AI Vision Is Next.Tom's Hardware recently profiled a developer running millions of tokens a day on...
Read MoreA camera sees everything and understands nothing. For decades, that has been the fundamental limitation of physical security at scale: vast amounts of f...
Read MoreA new collaboration combines a decade of heritage in autonomous space systems, with AI’s cutting-edge processor technology, optimizing the next gen of i...
Read MoreNot sure which card?
Describe the workload, the box and the power constraints. Axelera Wingman knows the line-up.
Open the chat →Ready to test
Embedded M.2 modules, compute boards, and Edge and Server PCIe cards, ready to order today.
Order hardware →Talk to us
Contact sales and a person comes back to you.
Contact sales →