Arm and NVIDIA: Building the Future of AI

Arm is the leading power-efficient compute platform. Nowhere is this more visible than in our technology collaboration with NVIDIA. During this ten-year collaboration, Arm processor technology has become a key element of NVIDIA’s world-leading products for accelerated computing, including the NVIDIA Grace™ CPU, NVIDIA GH200 Grace Hopper™, and NVIDIA GB200 Grace Blackwell™ platforms.
Arm and NVIDIA at GTC: Accelerating Computing on Arm
March 17-21, 2025 | San Jose, CA, USA
Discover how to accelerate cloud workloads and enhance performance with the NVIDIA Grace™ CPU for data centers. Visit our booth to get hands-on experience with Arm-based AI developer platforms and learn how to build and deploy new applications efficiently with strong support from our software ecosystem.
Unlocking Performance: Developer Resources for Arm-Based NVIDIA CPUs
Wednesday, March 19 | 4:40-4:55 p.m. PT
Discover tools, resources, and software to optimize your workflows and achieve efficient accelerator utilization. Learn how Arm-based CPUs power AI development on the NVIDIA Grace Hopper, Grace Blackwell, and Grace CPU Superchips.
Maximizing Workload Potential on Arm Neoverse Cores with NVIDIA CPUs
Tuesday, March 18 | Free On Demand
We cover a range of use cases, including data analytics, databases, web and application servers, media processing, and AI/ML workloads including Retrieval Augmented Generation (RAG) for Large Language Models (LLMs), enabling chatbots, and implementing voice transcription on NVIDIA Grace Hopper, Grace Blackwell, and Grace CPU Superchip architectures.
Visit Us at Booth #646

Live Demo of NVIDIA Jetson Orin
The NVIDIA Jetson Orin demo at the Arm booth during GTC showcases workloads on Arm CPUs. It highlights a complete NVIDIA Jetson Orin-based development environment including software tools, methodology, and workflows.
Meet Arm Ambassadors and Experts at Booth #646
Gabriel Chouchane
CEO, Day Devs
1 Year as an Arm Ambassador
Participating at GTC with Arm:
"I’m looking forward to GTC with Arm—there’s always a lot of interesting discussions around AI and performance optimization on Arm-powered technology, and it’s a great chance to exchange ideas with others in the space.”
Jinger Zeng
Program Manager, Hackster.io
2 Years as an Arm Ambassador
Participating at GTC with Arm:
“Being a correspondent of leading-edge innovations in EdgeAI thought leadership and channeling news and information to the larger global developer ecosystem via Hackster and Arm’s media syndication.”
Jemmee Yung
VP Business Development, Bloombase
2 Years as an Arm Ambassador
Participating at GTC with Arm:
“I'm excited to see both new and familiar faces at the upcoming NVIDIA GTC.”
Peter Ma
CTO, SiteMana Inc.
2 Years as an Arm Ambassador
Being an Arm Ambassador:
“Being an Arm Ambassador has been an incredible opportunity to connect with a great community, tap into Arm’s developer ecosystem, explore AI insights, and get support for both work and personal projects.”
David Groom
Community Editor, Make
2 Years as an Arm Ambassador
Being an Arm Ambassador:
“I've been an Arm Ambassador since the start of the program [...] my close involvement with the team has led to all manner of exciting opportunities, from the chance to talk one-on-one with visionaries like Mark Hambleton; to the opportunity to attend events using my Distinguished Ambassador travel budget; to intimate and exclusive webinars and workshops on the latest Arm-based technology. I feel like I've barely scratched the surface on all that is offered to me as an Ambassador, yet my time investment has been repaid manifold.”
Pranay Bakre
Principal Solutions Engineer, Arm
Participating at GTC with Arm:
“As a Solutions Architect I am looking forward to exploring how Arm's latest technologies can seamlessly integrate with NVIDIA's hardware and software platforms. I am eager to attend sessions at GTC that talk about best practices for optimizing software performance, and architecting efficient workflows for AI, ML, cloud native and data-intensive applications. The opportunity to engage with experts from both Arm and NVIDIA, exchange insights, and collaborate on solving real-world challenges will be invaluable in driving next-gen solutions for my team.”
Michael Hall
Principal Software Engineer, Arm
Participating at GTC with Arm:
“I’m excited to be back at one for the premier events for AI innovation, and even more excited to be showing off what developers can do by combining Arm and NVIDIA technology together.”
Zach Lasiuk
Staff Solutions Designer, Arm
Participating at GTC with Arm:
“Meeting with developers! I'm excited to exchanging ideas and fostering innovation with our broad ecosystem."

Arm-Based NVIDIA Grace CPU: High Performance, Power-Efficient Compute for the AI Data Center
Powered by 72 Arm® Neoverse™ V2 cores, the NVIDIA Grace CPU delivers 2x performance per watt and the highest memory bandwidth compared to today’s leading servers.
- Based on next-generation Armv9 architecture, the NVIDIA Grace family of processors deliver up to a 10x performance leap in AI tasks, such as RAG, data processing or graph neural networks.
- Workload migration is a key stepping stone to NVIDIA Grace Hopper Superchips. Learn how 11 different teams evaluated HPC workloads across scientific domains and programming languages.
Try the NVIDIA Grace CPU and interact with demos of its memory bandwidth and software environment with LaunchPad.
Migration Resources

Jetson Orin Nano Super Developer Kit: The Platform for Generative AI Development
NVIDIA Jetson Orin Nano Super Developer Kit offers up to 1.7x higher performance through a JetPack software update based on cost-effective Arm platform, focused on generative AI, LLMs, Vision Language Models (VLMs), and Vision Transformers (ViTs).
Run models up to 8B parameters, like Llama 3.1 8B, seamlessly on this edge computing platform.
- Integration with AI Frameworks: Integrated with popular open ML frameworks (HuggingFace, TensorRT-LLM, llama.cpp, vLLM), enabling developers to move AI workloads between cloud, edge, and PC environments.
- Gen AI Use Cases: Create applications, including robotics, chatbots, and vision-based AI, with support for platforms like HuggingFace’s LeRobot for AI robots or Ollama for AI chatbots with RAG.
- Optimized Edge Computing: Arm’s CPU design enables the Jetson platform to manage AI inferencing workloads efficiently between the CPU and GPU. The Arm CPU, NVIDIA GPU plus software deliver a powerful, scalable solution for edge AI applications.

Project DIGITS: The New Arm-Powered NVIDIA AI Supercomputer at Your Desk
NVIDIA Project DIGITS brings high-performance AI computing to developers at the edge. Now, every type of AI workload—language, visual or multi-modal—can be run locally.
Achieve power-efficient, high-performance AI with the NVIDIA GB10 Superchip which combines 20 Arm cores in an NVIDIA Grace CPU with an NVIDIA Blackwell GPU. Using NVIDIA AI software, you can run large models locally and scale AI applications, previously only possible in cloud-based supercomputers. Available May 2025.
Arm and NVIDIA: Developer Resources to Advance AI
Learning Paths:
- Migrate Applications to Arm
- NVIDIA Jetson Orin Nano Object Detection
- Understand KleidiAI and Matrix Multiplication for Arm-based SoC NVIDIA Grace
- NVIDIA GPU that supports CUDA to Train ML Agents
- Find Arm Hardware: NVIDIA Jetson Developer Kits for AI projects
Blogs and Briefs:
- NVIDIA Grace CPU Integrates with the Arm Software Ecosystem
- Arm NVIDIA Project DIGITS High Performance AI for Developers
- NVIDIA Grace CPU for High Performance Computing
- Expanding Arm on Arm with the NVIDIA Grace CPU
- NVIDIA Jetson Orin Nano Developer Kits
- NVIDIA Grace Hopper for Apache Spark
- Arm Neoverse NVIDIA Grace CPU Superchips Setting the Pace for the Future of AI

Arm Developer Program
The Arm Developer Program brings together developers from across the world, providing advanced tools and resources, a network of like-minded members, and live sessions from leading experts. Join today and get the support you need to build your software applications.