COMPUTEX 2026

Taipei, Taiwan
June 2, 2026
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The Future of AI Scaling Depends on Connectivity

Matt Murphy Keynote

 

At COMPUTEX 2026, Marvell Chairman and CEO Matt Murphy delivered a high-visibility keynote address: The Future of AI Scaling Depends on Connectivity.

Video

 

In his address, Murphy discussed how Marvell technologies enable the critical links in modern AI data center infrastructure allowing customers to deploy AI-optimized systems with unprecedented performance and scale. He also highlighted how Marvell and its broad partner ecosystem are helping the industry unlock the next wave of AI innovation.

Featured Topics

Scale-out Networking for Distributed AI Workloads

Scale-out networking delivers the bandwidth, low latency, and power efficiency AI workloads need to connect compute, memory, and network resources seamlessly across distributed environments.
Scalable Switching Platforms for AI and Cloud Workloads

AI and cloud workloads demand massive, synchronized data movement at scale. Marvell's Teralynx® switching platforms deliver the low-latency, high-radix fabric that powers 400G to 3.2T AI infrastructure.
Scaling AI Infrastructure

Scaling AI infrastructure demands networking that delivers the bandwidth, low latency, and power efficiency needed for seamless communication across compute, memory, and network resources.
Marvell Optical DSPs: Powering the future of AI infrastructure

Marvell optical DSPs deliver the bandwidth, low latency, and energy efficiency AI infrastructure needs, powering next-generation, high-performance connectivity at scale.
Coherent ZR Leadership into the 1.6T Era

As AI infrastructure spans campuses and data centers, coherent ZR/ZR+ and next-gen DSPs enable scalable connectivity, with Marvell leading via the industry's first 1.6T ZR and 800G ZR+ DSPs
Coherent ZR Leadership into the 1.6T Era

As AI infrastructure spans campuses and data centers, coherent ZR/ZR+ and next-gen DSPs enable scalable connectivity, with Marvell leading via the industry's first 1.6T ZR and 800G ZR+ DSPs

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Scale-out Networking for Distributed AI Workloads

Scale-out networking delivers the bandwidth, low latency, and power efficiency AI workloads need to connect compute, memory, and network resources seamlessly across distributed environments.
Scalable Switching Platforms for AI and Cloud Workloads

AI and cloud workloads demand massive, synchronized data movement at scale. Marvell's Teralynx® switching platforms deliver the low-latency, high-radix fabric that powers 400G to 3.2T AI infrastructure.

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