Arm and Meta have officially joined forces to enhance artificial intelligence (AI) efficiency across various computing platforms. This strategic partnership aims to transform AI experiences for billions globally by leveraging Arm’s power-efficient computing capabilities alongside Meta’s innovations in infrastructure and AI technology.
Partnership Overview
The collaboration focuses on scaling AI capabilities across diverse computing environments. This includes optimizing software and data center infrastructures for richer user experiences. Both companies intend to enable AI functionality from small devices to complex systems that train advanced AI models.
Key Developments
- Meta’s AI software, including PyTorch, is now optimized for Arm architecture.
- The partnership enhances performance-per-watt through innovative technologies like Arm KleidiAI.
- AI software optimizations will contribute to the global open-source community.
Quotes from Leadership
Santosh Janardhan, Head of Infrastructure at Meta, emphasized the importance of AI in transforming user connections. He stated, “Partnering with Arm enables us to efficiently scale that innovation to the more than 3 billion people who use Meta’s apps and technologies.”
Rene Haas, CEO of Arm, added, “Partnering with Meta, we’re uniting Arm’s performance-per-watt leadership with Meta’s AI innovation to bring smarter, more efficient intelligence everywhere.”
Optimizing AI in the Cloud
Through this partnership, Meta’s AI ranking and recommendation systems will benefit significantly from Arm’s Neoverse-based data center platforms. This technology will ensure higher performance and reduced power consumption, compared to traditional x86 systems.
Joint Software Development
The collaboration also focuses on refining Meta’s AI infrastructure software stack, including various compilers and libraries optimized for Arm architectures. Key projects include:
- FBGEMM (Facebook General Matrix Multiplication)
- PyTorch enhancements
These improvements aim to boost inference efficiency and throughput, further enhancing AI processing capabilities.
Advancing AI Software from Cloud to Edge
Both companies are committed to accelerating the functionality of AI applications across all environments, from cloud to edge. The partnership seeks to optimize key software frameworks including:
- PyTorch machine learning framework
- ExecuTorch edge-inference engine
- vLLM datacenter-inference engine
These efforts will enable smoother model deployment and higher performance for AI applications on billions of devices worldwide.
The Future of AI
The strategic union between Arm and Meta presents a full-stack solution for AI scalability, providing connected and intelligent experiences for users globally. By working together, they aim to drive the next era of efficient and accessible AI technologies.
For additional details, media inquiries can be directed to Erica Rodriguez Pompen at Arm.
