It’s Computex again and we attended Arm’s keynote for the year 2025. While there was no new CSS announced this time, we did get a teaser of what’s to come. It seems like a big upgrade over the current generation that we have, and it’ll be launching later this year.
Now, we also had a Q&A session with Chris Bergey, Senior Vice President and General Manager, Client Line of Business in Arm. There are a few key questions that we find particularly interesting.
Accelerating the Arm adoption rate through partnerships
When asked regarding what key partnerships Arm has to accelerate the adoption of the Arm architecture, well, there is no clear-cut answer as Arm partners with basically anyone who wants to use the ISA, in whatever industries. With a growing number of companies recognizing the critical role of custom silicon in product innovation, Arm is positioning itself as a key enabler in this shift toward vertically integrated solutions.
Category leaders also want to control their own vertical – and hence, Arm can provide assistance and develop a solution that suits their needs. MediaTek is a close partner of Arm that practically uses Arm’s designs as-is and the latest Dimensity 9400 is a clearly the fruit of its (most current) labor. We did a video talking about the chipset performances of this generation and MediaTek caught up.
Supporting the NVIDIA ecosystem
Arm also plays a significant role in supporting the NVIDIA ecosystem as their AI infrastructure uses Arm CPUs. Rather than competing, Arm’s CPUs serve as foundational components that enable broader innovation within NVIDIA’s platform. The goal is to empower developers and partners with the tools they need to build next-generation products that harness the full potential of AI, high-performance computing, and graphics processing.
Scaling TOPS to Drive Developer Engagement
AI has also been the talk of the past three Computex(es)—and there was one question regarding whether Arm is going to participate in the TOPS arm’s race as AI demands are growing daily. Arm is not going to slow down its goal to have the highest TOPS possible without sacrificing the CPU and GPU performance – and having more performance means that developers can utilise the available performance to develop more advanced AI systems.
This scalability is crucial in maintaining momentum and ensuring that innovation continues without slowing down.
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