Arm Mali-G77 GPU Named Best Processor IP in the Linley Group’s Analysts’ Choice Awards
Today, Arm has announced that the Arm Mali-G77 GPU has been named the winner of the Best Processor IP category in The Linley Group’s Analysts’ Choice Awards 2019.
The annual awards recognize the top semiconductor offerings of the year in seven distinct categories: AI accelerators, embedded processors, mobile processors, server/PC processors, processor-IP cores, networking chips, and best technology.
“With the rise of 5G and AI, mobile devices are under increased compute demand, as consumers do more than ever on the go, from high-performance mobile gaming to tasks with complex machine learning workloads,” said Paul Williamson, vice president and general manager, Client Line of Business, Arm. “This award recognizes the hard work by our world-class Mali engineering team to not only deliver massive performance gains, but also address a greater diversity of compute intensive tasks while enabling developers to design for the most complex use cases.”
“Among the many IP cores we considered for our 2019 Analysts’ Choice Award, the Mali-G77 stands out for its numerous architectural improvements,” said Mike Demler, Senior Analyst at The Linley Group. “Along with significant boosts to graphics performance and power efficiency, mobile device users will benefit from the significant gains it delivers to AI applications.”
The Mali-G77 was launched as part of Arm’s latest suite of premium mobile IP in May 2019 and is Arm’s first premium GPU based on the new Valhall architecture, delivering nearly 40% on device performance improvement over the previous Mali-G76. Enhancements have also been made in other areas, including a 60% improvement to machine learning performance, 30% better energy efficiency and 30% more performance density. Mali-G77 based premium smartphones will begin shipping this quarter.
Read more about the Mali-G77 GPU here.
Latest on Twitter
We're optimizing AI across the ML stack. 💪
That's why we've partnered with @PyTorch and ExecuTorch to integrate Arm Kleidi Libraries directly to each framework.
This gives application developers enhanced AI performance on the CPU without extra work: https://newsroom.arm.com/news/pytorch-kleidi-integrations-cloud-to-edge?utm_source=twitter&utm_medium=social-organic&utm_content=newsroom&utm_campaign=mk13_tech-strat_na
Congrats to our Executive Vice President and Chief Legal Officer, Spencer Collins for the recognition as one of the top in-house legal leaders by the @FT.
Spencer’s leadership and expertise remains crucial to the success of the Arm compute platform: https://www.ft.com/content/e9a36690-fa99-4525-bf68-42132c77e553
We recently hosted an event bringing together experts on Edge AI. 🚀
This included our own SVP & GM of IoT @pnwilliamson, who showcased the power of Arm Ethos-U85 running Tiny Llama2.
See it in action.👇
@TinymlF
We're thrilled to welcome Young Sohn to our Board of Directors! 🎉
With diverse experience in the semiconductor industry and a long history of working with Arm, Young's contributions will be crucial to the growth of the Arm compute platform in the AI era: https://newsroom.arm.com/news/appointment-of-young-sohn-to-arm-board-of-directors?utm_source=twitter&utm_medium=social-organic&utm_content=blog&utm_campaign=mk29_exec-comms_na
We're joining the @PyTorch Foundation as a premier member!
Together we can ensure the integration of PyTorch's framework with Arm's software stack to accelerate AI development on Arm.
This forms part of our continued investment in software & open source: https://pytorch.org/blog/arm-joins-pytorch/
Congrats @Nuro!
We're proud to power the Nuro Driver platform with the server-class performance & safety capabilities of Arm Neoverse V3AE technology.
In this new era, together we're enabling OEMs with the safety-enabled compute performance for autonomous, AI-enabled vehicles.
We're taking gen AI to the next level with 3 🆕 practical demos running entirely on the Armv9 CPU on your smartphone.
1️⃣ Real-time voice assistant
2️⃣ Voice note summarization
3️⃣ Group chat summarization
This just scratches the surface of what's possible: https://okt.to/BeX8UH
Are you ready to build native apps on Windows on Arm?
We've got the tools and resources you need to get started.
This is how you build enhanced user experiences.
Here's to 3+ years of SOAFEE and everything that's to come with http://SOAFEE.next. 🎉
With 120+ members and counting, we're proud to celebrate the collaborative efforts of the entire automotive ecosystem to bring software-defined, AI-enabled vehicles to life:…
Do you build @VulkanAPI apps? We’ve got exciting news for you!
🔜 Native support for Windows on Arm is coming.
🎬 See it in action:
Processing complex AI workloads on the device can be slow. 🦥
Arm KleidiAI is changing this, bringing best performance without additional optimization.
We show what's possible when it's integrated with @Google's MediaPipe & XNNPACK on Android.
Meet the next generation of optimized ML workloads.👇
⚡ 30-50% speedups for various ML libraries
💪 3.1x run time improvement with Photon
💰 Lower cost
Get this and more with Arm Neoverse-based @AWSCloud Graviton on the @databricks ML Runtime cluster.
Unlock Faster Machine Learning with Graviton | Databricks Blog
okt.to
AI is transforming the world of computing, from the edge to the cloud. 🚀
As Arm CMO Ami Badani explains on @theCUBE, this offers unique opportunities, but you have to have the right platform in place to maximize them.
That's where Arm comes in:
Ami Badani, ARM | AI Infrastructure Silicon Valley - Executive Series
Ami Badani, ARM, sits down with John Furrier & Dave Vellante, theCUBE.
okt.to
Reasons we ❤️ the Arm Cortex-M33 based Raspberry Pi Pico 2:
1️⃣ You can deploy more compute-intensive apps
2️⃣ It's faster, thanks to the floating point unit
3️⃣ It's more performant
Try it for yourself testing real-time ML audio noise suppression.
🔍 BTS of July's Amazon Prime Day, over 250K Arm-based AWS Graviton chips powered 5,800 distinct http://Amazon.com services - that's more than double the services in 2023.
By scaling #onArm, @awscloud had the compute capacity to ensure everything ran smoothly:…
⏰ Set your reminder!
Today at 1:05 pm PT, Arm CMO Ami Badani joins @theCUBE's AI Infrastructure Silicon Valley Executive Series to discuss the explosion of generative AI and innovation in chip technology.
Tune in here: https://okt.to/sF1y3c
We've been shortlisted for @Reuters Automotive D.R.I.V.E Honours 2024 for:
🌟 Innovation - for our tech accelerating AI-enabled software-defined vehicles
🌟 Empowering Women - Recognizing Dipti Vachani for her impact on the industry
Here's to our team that make it possible. 👏
AI is bringing many opportunities but there's also challenges with security.
Our report with @PSACertified is how you get ahead. Discover the insights you need to unlock the benefits of AI without compromising on security:
We're accelerating automotive software development cycles by enabling our partners to start innovating ahead of physical silicon availability.
Hear about our role in driving standardized, portable software and facilitating innovation in the SDV ecosystem: https://okt.to/LaZrtQ
MultiCub3r-X is a robot built #onArm.
It uses an image processing application on the Arm-based @Google Pixel 8 to calculate a sequence of moves, to solve the Rubik’s Cube in record time.
+ The @LEGO_Group mechanism turning the cubes is also based on Arm! See it in action. 👇
There are 4 new Google #Pixel9 phones - all built #onArm!
Each smartphone benefits from the performance and efficiency leadership of the Arm compute platform to enable next-generation AI capabilities.
Congrats to the team at @MadeByGoogle! 👏 #MadeByGoogle
👋Meet Raspberry Pi Pico 2
It features a dual-core Arm Cortex-M33 as the primary boot architecture to deliver higher performance and security for commercial applications.
Raspberry Pi CEO, Eben Upton, shares the features unique to Arm that make it great: https://okt.to/UiAVP9
Magic happens when you combine @GoogleCloud with the performance, efficiency, and flexibility of the Arm compute platform.
Get the details on how Google Cloud is driving custom silicon innovation with its Arm Neoverse-based Axion CPU. 👇
"Arm is already broadly adopted in the cloud, and it’s coming to the enterprise data center, no question."
In the AI era, Arm Neoverse offers the performance, efficiency, and flexibility that the modern data center needs. Here's why: via @MoorInsStrat
RESEARCH NOTE: Is Arm Neoverse the Datacenter’s Secret Weapon?
Nvidia is known as the GPU of choice for AI workloads. Its Hopper and Blackwell GPUs power virtually every ...
okt.to