Paving the Way for AI-enabled Supercomputing
By Chris Bergey, SVP & GM, Infrastructure Line of Business, Arm
It’s been a huge year for Arm and our ecosystem of infrastructure innovators as we work together to deliver the technologies and solutions that will ultimately enable the trillions of devices coming online by 2035. Arm continues to be the computing foundation for the convergence of AI, 5G, and IoT, fueling a massive change to today’s data consumption models from the cloud to the edge. Just a few years ago, an Arm-based HPC was difficult to fathom for many. Today, Arm is becoming established as the compelling platform for AI and HPC innovation to build upon, scaling from the largest clusters to the emerging edge.
Earlier this year our strategic partner NVIDIA announced their intent to more broadly support Arm CPUs and make its full stack of AI and HPC software available to Arm partner platforms. This was a significant announcement for both companies. NVIDIA GPUs power some of the fastest supercomputers in the world, including the fastest, Summit at Oak Ridge National Labs. These systems will continue to play an important role in future exascale deployments where supercomputers will run at 5x – 10x the speed of today’s best, but achieving this level of performance goes beyond the hardware.
Both Arm and NVIDIA know ecosystems and are great at building the software stacks needed for the success of our partners and end-users. Enabling NVIDIA GPU’s to run seamlessly in conjunction with Arm processors provides access to new markets for our HPC partners and opens further market opportunities for NVIDIA’s market leading ML/AI technology. This important collaboration highlights our similar vision for enabling efficient compute from the datacenter to the edge and draws our companies closer in terms of collaboration on ecosystem goals.
Building on this momentum, today at SC’19, Jensen Huang, CEO of NVIDIA, introduced a technology blueprint for companies to quickly and easily build GPU-accelerated Arm-based servers. The reference platform, which consists of hardware and software building blocks, aims to enable more high-performance computing in a fast-growing range of applications across science and research. Furthermore, NVIDIA, Arm, and our collective ecosystem are already demonstrating new proof points of solutions with Arm-based CPUs and NVIDIA GPUs.
Source: NVIDIA
This next step in delivering high-performance capabilities is significant because the combination of NVIDIA’s CUDA-accelerated computing and Arm’s energy-efficient CPU architecture will give the HPC community the advanced tools and technologies they need to enable compute from the edge all the way through to the largest HPC deployments. We are working diligently to deploy Arm technology all of the HPC space, addressing some of the world’s most complex research challenges. We are very excited about the progress that has been made this year on joint enablement of the combined Arm and NVIDIA ecosystem. But, this is just the beginning.
Congratulations to the Arm and NVIDIA teams for a very exciting milestone achievement!
Any re-use permitted for informational and non-commercial or personal use only.
Media Contacts
Latest on Twitter
Congratulations to Tamika Curry Smith, our Chief DEI Officer who has been chosen as one of @SavoyNetwork's Most Influential Executives in Corporate America for 2024. 👏
The honor recognizes Tamika's commitment to community, leadership, and success: https://okt.to/2NvDOZ
This #EarthDay, we're celebrating our collaboration with @UNICEF, to unlock the life-changing potential of technology in Malawi.💧
Our investment has helped UNICEF install two water supply systems, helping provide 11,000 people with access to safe water and sanitation services.
ISA parity is accelerating silicon and software deployment in automotive! 🚗💨
👇 At #ew24 we showcased what this looks like in practice via virtual platforms with our Neoverse-based cloud instances and new Arm AE IP, which brings almost 100% ISA parity. https://okt.to/cjVaFN
The future of automotive is here. 🚀
Hear from Dipti Vachani on @IBDinvestors as she shares details on the game-changing performance and functional safety features of our new Armv9-based AE processors and server-class Neoverse technology: https://okt.to/WVtw58
AI is expected to increase data center power consumption 3️⃣x by 2030.
To offset this, hyperscalers like Amazon and Google turn to Arm Neoverse to reduce power without compromising performance.
That's why the future of AI is built #onArm. https://okt.to/LPVFWd
We're working with our partners @Simprints, @Gavi and @_GHSofficial to enable healthcare equity in Ghana.
Built #onArm, Simprints technology is enabling vaccine equity by making it easier to verify vaccine delivery by individual: https://okt.to/MIcgxu
If Arm technology is in there, then the future will be too.
Our energy-efficient compute platforms are foundational to the world's technology and AI computing, shaping how we work, play and connect.
That's why the future is built #onArm. https://okt.to/M9wqc8
Here's to a fantastic week at Embedded World! 🎉
From lightning talks and speaker sessions to demos of our latest automotive and IoT technologies, we brought our vast ecosystem together to showcase what's possible when you build #onArm.
Thank you to everyone that joined us. 👏
🚗 Software-defined vehicles (SDVs) are the future of automotive and they're being built #onArm.
Robert Day joins @Sonatus and @MotorTrend on the latest podcast to talk all things SDVs and where the industry is headed.
🔊👇 Listen below.
🏆 And the winner of the Embedded Awards 2024 goes to… @Ambiq_AI's Apollo510 MCU!
This winning tech opens the door to new local AI opportunities on billions of devices.
Listen in as the team talk us through their exceptionally efficient Arm-based SoCs at #EmbeddedWorld.
David Maidment recently shared his thoughts on the future of edge computing at #EmbeddedWorld!
Missed the talk? Catch up on his insights into the evolution of edge computing across billions of diverse connected devices to build a secure AI-enabled future: https://okt.to/EtfSRN
AI is everywhere at this year's #EmbeddedWorld.
🚘 With the demand for more autonomy, increasingly advanced user experiences and the trend toward electrification Dennis Laudick shares why AI will remain crucial to drive innovation in the software-defined vehicle.
#ew24
Two identical demos. One different NPU.
Our new Ethos-U85 NPU is optimized for transformer networks to deliver the performance needed for edge AI use cases - including high performance voice and vision experiences.
This makes it perfect for AI applications like Gen AI. #ew24
We're ready for the final day of #EmbeddedWorld! 🚀
It's been a fantastic show so far showcasing our power-efficient compute platforms that are fueling the future of edge AI.
Reply with an emoji to let us know if you'll be visiting us on the show floor. 👋
#ew24
What's trending at #EmbeddedWorld?
AI, AI and more AI. 🔥
@pnwilliamson shares where you might find edge AI in action from our ecosystem partners building the future #onArm. #ew24
At the Arm booth at #EmbeddedWorld you'll find:
✅ Partner demos from the likes of @NXP, @Ambiq_AI and @_Elektrobit
✅ Partner Lightning Talks from @Microsoft, @EdgeImpulse and more
✅ Our latest IoT and Automotive tech
#ew24
🚀 We're taking edge AI innovation to the next level with the new Arm Ethos-U85 NPU and Corstone-320 IoT Reference Design Platform.
@pnwilliamson shares how these new technologies are transforming future voice, audio and vision applications live from #EmbeddedWorld. #ew24
Get to know LaunchX from NetsPresso by @nota_ai, on show at #EmbeddedWorld. 👇
Designed to help you easily convert and benchmark AI models, it supports a ton of Arm-based devices from our partners including Arduino, NXP, Renesas, Raspberry Pi and NVIDIA. #ew24
🇺🇸🇯🇵 We're proud to support new AI research partnerships between universities in the US and Japan.
Through close collaboration between business, academia and government we can continue to advance AI innovation to transform industries and improve lives. https://okt.to/9JbahF
📢 Custom Arm-based silicon from @GoogleCloud is here!
Axion, built on Armv9 Neoverse V2, will bring performance & energy efficiency gains to AI inferencing & general-purpose workloads, like web and app servers.
Congrats to the team! 👏 https://okt.to/xS4cBN #GoogleCloudNext
It's time for #EmbeddedWorld! 🙌
We're in Nuremberg this week showing you how to build your AI-accelerated future #onArm. 🎉
Can’t join us in person? Keep up to date on social media for live updates from the show! #ew24
🆕 Get ready to accelerate edge AI with the new Arm Ethos-U85 NPU and Corstone-320 IoT Reference Design Platform. ⚡
With performance and efficiency uplifts, developers can now deliver greater AI compute in smaller, more cost-sensitive devices: https://okt.to/cJPTCQ
When it comes to AI and ML at the edge, challenges like hardware fragmentation and performance optimization stand in the way of widespread adoption.
@pnwilliamson shares how developers can navigate this, with an invitation to join us at Embedded World: https://okt.to/tpsPTd
With the AI boom fueling demand for compute, our CEO Rene Haas speaks to @jchatterleyCNN on the importance of ecosystem collaboration to unlock unique capabilities we've not seen before.
Listen to the @CNN podcast at 28:38 for the full interview 👉 https://okt.to/mcH1tF
