The Arm Ecosystem Ships a Record 6.7 Billion Arm-based Chips in a Single Quarter
In the fourth quarter of 2020 (Arm FY Q320):
- Arm reported its silicon partners shipped in the prior quarter a record 6.7 billion Arm-based chips, which equates to ~842 chips shipped per second. To-date, Arm partners have shipped more than 180 billion Arm-based chips
- Arm continues to be the leading architecture for IoT and embedded devices with a record 4.4 billion chips based on Arm Cortex-M reported as shipped in the quarter
- Arm Mali graphics processors remain the number one shipping GPU
The Arm ecosystem continues to grow, with Arm partners signing a record 175 new licenses in calendar year (CY) 2020, bringing the total to 1,910 licenses and 530 licensees.
Included within the record shipments are Arm Mali-based graphics processors which have been the number one shipping GPU since 2015.
“The record 6.7 billion Arm-based chip shipments we saw reported last quarter is testament to the incredible innovation of our partners: from technology inside the world’s number one supercomputer down to the tiniest ultra-low power devices.
The Arm ecosystem continues to be at the center of the IoT revolution as many of the record 4.4 billion Cortex-M processors reported as shipped last quarter enable billions of IoT devices. The growth in Arm-based intelligent embedded solutions has been staggering as demand for more ubiquitous endpoint intelligence is skyrocketing.
Looking ahead, we expect to see increased adoption of Arm IP as we signed a record 175 licenses in 2020, many of those signed by first-time Arm partners. This is fantastic evidence of the strength of our IP roadmap and Arm Total Compute, a transformative approach to SoC design based on use case driven system solutions.
From the cloud to the endpoint, we are providing our ecosystem with the secure building blocks needed for their unique solutions, and together we are setting the course for the future of computing.”
Rene Haas, President, IP Products Group, Arm
For any questions, please contact Armpress@archetype.co.
Any re-use permitted for informational and non-commercial or personal use only.
Media Contacts
Latest on X
'@arcee_ai ran a 32 billion-parameter model on an Arm-based CPU. That’s not a typo.
On the latest Arm Viewpoints podcast, Arcee AI's Chief Evangelist @julsimon explains how quantization + clever engineering is paving the way for SLMs in the enterprise: https://okt.to/nrEkIK
'@Spotify. @GoogleCloud. Arm.
One (virtual) room. One big shift in cloud performance.
Hear how Arm Neoverse-based Google Axion processors are bringing better performance, efficiency, and TCO to Spotify's cloud-native and AI workloads. Sign up: https://okt.to/P3ronG
🗓️ Join us on Wednesday May 7 for our next financial results conference call.
After market close, we'll report our earnings results for the fourth quarter and fiscal year 2025, followed by a conference call to review our results and business outlook: https://okt.to/5JkpNx
⚡ If you've ever thought "5GHz must mean fast," think again.
@EposVox breaks down why the IPC (Instructions Per Cycle) metric for modern CPU performance best represents real-world user experiences and why it matters more than ever.
📺 Watch now.
Why your fast CPU still feels slow
This video is sponsored by Arm. Learn why IPC matters to mobile and how Arm is powering the future of smartpho...
okt.to
The latest tools from @AIatMeta - Llama Guard 4, Firewall and Prompt Guard 2 - help embed policy-grade safety into gen AI interactions.
With real-time multimodal filtering combined with Arm’s power-efficient compute platform, they support secure, scalable AI from cloud to edge.
Major updates from LlamaCon!
We’re advancing AI security with new open-source Llama protection tools and new AI- powered solutions for the defender community.
Developers can now access:
-- Llama Guard 4, a customizable safeguard that supports protections for text and image…
AI's future won’t be built on power alone; it will be built on smarter foundations.
Richard Grisenthwaite, Arm’s EVP and Chief Architect, shares why strong architectural foundations are key to scaling AI sustainably in @computing_news ⏬
Tackling AI’s challenges starts with strong architectural foundations
Tackling AI’s soaring energy demands needs both hardware, software and scientific advancements, says Arm EVP Richard Grisenthwaite
okt.to
From data centers to edge devices, CEO Rene Haas and @Synopsys' Sassine Ghazi are showcasing how collaboration is fueling the future of AI.
Find out what’s next in AI innovation from their conversation at the 35th annual Synopsys User Group: https://okt.to/NG8efa
Innovate alongside compliance. 🤝
In the AI Readiness Index, Sr. Director of Government Affairs Vince Jesaitis explores the evolving global regulatory landscape from the EU AI Act's risk-based approach to the U.S. sectoral model.
Download the report: https://okt.to/meYpHL
Celebrating 40 years of Arm architecture at the turkey barn where it all began. 👏
Earlier this week, we unveiled a new plaque in Swaffham Bulbeck honoring the architecture that sits at the foundation of modern computing, alongside the pioneers who helped shape it.
Chiplets are redefining the automotive industry. How do we fulfill their potential?
➕ Collaboration
➕ Standardization
➕ Resource sharing
We're joining forces with @imec_int's Automotive Chiplet Program to make it a reality. Find out how: https://okt.to/xAuDk1
Take a trip down memory lane with us. 🛣️
From the BBC Micro to AI-powered devices, the Arm architecture has shaped 40 years of innovation, powering smartphones, IoT, our cars, the cloud, and more.
Let’s look back at the tech that changed everything.
Deploying AI is just the start. The real challenge? Running it efficiently, securely and at scale.
In our report with @techreview we explore why heterogeneous compute is key to enabling edge AI everywhere from our phones to IIoT.
📥 See why: https://okt.to/lQVD69
The industry is developing comprehensive standards, like those from PSA Certified and others, to secure the next generation of custom silicon. 🔐
Learn more about how to secure the silicon solutions of the future in our recent report: https://okt.to/6ND1AB
As demand for performance and efficiency grows, tech giants are rethinking their infrastructure - and turning to Arm.
Mohamed Awad joins @EETimes to explore how our flexible, power-efficient architecture is shaping the future of computing:
Why Do Hyperscalers Design Their Own CPUs? - EE Times
With huge financial investment required to enter the realm of custom silicon design, why is this route so appealing to hyperscalers?
okt.to
Smaller models. Bigger impact. 💥
@Arcee_AI is using Arm-based CPUs to run SLMs in parallel for agentic AI. With 4x performance gains from quantization and KleidiAI, @julsimon shares why the future of AI is efficient, scalable - and built on Arm CPUs: https://okt.to/UtMRxA
There's just over a week left to enter the Arm Silicon Startups Contest! 🚨
If you're an early-stage startup, this is your chance to bring your silicon solution to market quicker, with $250,000 in Arm technology credit available to the winner.
Details: https://okt.to/FBoaGD
At 19, most of us were still figuring life out. @alexandr_wang was already building @Scale_AI.
He joins Rene Haas on the Tech Unheard podcast to talk all things AI, leadership and why being young is often one of his biggest strengths.
🎧 Listen now: https://okt.to/a7dY2B
What happens in Vegas… deserves to be shared!
At #GoogleCloudNext, the team celebrated 1 year of Arm Neoverse-based Google Axion processors with updates on migration and momentum, as more companies turn to Arm to balance performance, efficiency and cost:
It's full speed ahead for Windows on Arm. ⏩
With the new Windows Arm64 hosted runners for @github Actions, developers have the tools to easily build and deploy for Arm, on Arm - including powerful gen AI applications as the edge. Get the details in the blog below.
🚨 Your CI/CD workflows just got an upgrade!
Windows Arm64 hosted runners are now available for @GitHub Actions, giving you access to a familiar CI/CD pipeline to easily add Arm-native support and boost performance.
Here's to easier innovation on Arm: https://okt.to/wWXs5f
The new Arm-based @MediaTek Kompanio Ultra SoC is set to enable powerful generative AI experiences on Chromebook Plus devices.
Chris Bergey and Adam King share how the chipset unlocks next-level performance, efficiency, and new AI-enabled experiences: https://okt.to/gSywrF
As the automotive industry shifts to an AI-first future, Dipti Vachani, SVP & GM for Automotive at Arm, shares how we’re powering the transformation.
Speaking to @EETimes, Dipti explains how electrification and in-vehicle features rely on our technology.
Arm Powers Software-Defined Vehicle Revolution
Arm enables the automotive industry's fundamental shift towards software-defined and AI-driven vehicle with key strategies and technologies.
www.eetimes.com
In just a year since launch, Arm-based Google Axion CPUs have delivered substantial improvements in performance, efficiency, and scalability - just ask @Databricks, @Spotify or @ParamountPics.
We've put it to the test & the results speak for themselves: https://okt.to/P9mZuJ
We’re proud to join the UK’s AI Energy Council, working with other tech leaders to support the future of AI.
As the industry’s most power-efficient, high-performing compute platform, we're excited to bring our expertise to the Council and shape the future of computing.
Power drives AI’s success🔌
That’s why we’ve launched the AI Energy Council - a group of experts that will advise government on how to sustainably power AI and make use of the energy infrastructure we already have.
AI is pushing computational limits, demanding efficient, scalable architectures.
Get insights from @BenBajarin in the Silicon Reimagined report and discover how Arm CPUs drive AI inference and acceleration, powering the next generation of reasoning models:…
