AMD EPYC Venice vs NVIDIA Vera: Morgan Stanley Predicts EPYC Dominance with 6.75M Units by 2027

by John Garrett
0 comments

Welcome to the Future: TSMC’s Advanced Packaging and the Agentic AI Race

As the tech industry hurtles towards a future dominated by Agentic AI, the demand for advanced packaging technologies is skyrocketing. With CPUs emerging as the primary consumer of these technologies, major players like NVIDIA and AMD are gearing up for a fierce competition in 2027.

The Reign of NVIDIA and the Rise of AMD EPYC Venice

According to a recent report by Morgan Stanley, NVIDIA is set to maintain its stronghold as TSMC’s top customer for CoWoS capacity. The company is projected to reach a wafer capacity of 200,000 per month in 2027, signaling a significant growth trajectory.

NVIDIA’s utilization of TSMC’s CoWoS packaging for AI GPUs and Vera CPUs is expected to lead to a substantial increase in revenue, with Vera shipments doubling in 2027. However, AMD’s EPYC Venice, based on the Zen 6 architecture, poses a formidable challenge to NVIDIA’s dominance.

The Battle of Custom Silicon

While NVIDIA and AMD are locked in a fierce competition, the real challenge lies in the rise of custom silicon. AI giants like OpenAI, Google, and Amazon are venturing into producing custom chips, intensifying the debate between in-house and external chip manufacturing. This shift could further strain the supply-demand balance in the industry, posing a new set of challenges for chipmakers.

Hassan Mujtaba Photo

About the author: As a Senior Editor specializing in hardware at Wccftech, Hassan Mujtaba brings a wealth of experience in analyzing next-generation CPU and GPU architectures. His expertise lies in providing in-depth technical insights and reviews of cutting-edge technologies in the industry.

Follow Wccftech on Google for more news coverage.

Conclusion: The Future of AI Processing

As the demand for AI processing power continues to surge, the competition between NVIDIA and AMD is heating up. With advanced packaging technologies and custom silicon on the horizon, the landscape of AI computing is set for a dramatic transformation in the coming years.

You may also like