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Nvidia's Jesnen Huang expects GAA-based technologies to bring a 20% performance uplift
Is that enough for GPU production to jump to a cutting-edge node? Nvidia's Jensen Huang said during a Q&A session at GTC that next-generation process technologies relying on gate-all-around (GAA) transistors will likely bring about a 20% performance boost for the company's processors, reports EE
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NVIDIA's CEO Claims GAA-Based Processes Will Bring In a 20% Performance Boost, But Key Focus Will Remain On Architectural Advancements
NVIDIA's CEO Jensen Huang is optimistic about the use of GAA-focused processes in the future, claiming that they could bring a massive boost to performance. We all know that Jensen isn't a firm believer in Moore's Law or lets it dictate the trend of performance brought in by newer architecture.
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NVIDIA CEO Jensen Huang discusses the potential impact of Gate-All-Around (GAA) transistor technology on GPU performance, highlighting the company's focus on architectural and software innovations for AI infrastructure.

NVIDIA CEO Jensen Huang has shared his thoughts on the future of semiconductor technology, particularly focusing on Gate-All-Around (GAA) transistors. During a Q&A session at the GPU Technology Conference (GTC), Huang suggested that GAA-based technologies could bring about a 20% performance boost for NVIDIA's processors
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.While acknowledging the potential benefits of GAA technology, Huang emphasized that the most significant performance improvements for NVIDIA's GPUs come from architectural advancements and software innovations. He noted that as AI systems scale, the efficiency of managing vast numbers of processors is becoming more critical than the raw performance of individual processors
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.Unlike some competitors, NVIDIA typically does not adopt the latest process technologies immediately. The company has been using tailored versions of TSMC's 4nm-class process technologies for its current generation of GPUs. Looking ahead, NVIDIA is expected to use TSMC's 3nm-class fabrication process for its next-generation AI GPUs, codenamed Rubin, in 2024
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.Speculation surrounds NVIDIA's plans for implementing GAA technology in future GPU architectures. The Feynman architecture, expected in 2028, might be the first to utilize GAA-based processes, potentially adopting TSMC's N2P or A16 nodes. These advanced nodes are projected to offer significant performance improvements over current technologies
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.Huang stressed that NVIDIA has evolved beyond being simply a semiconductor company. He described NVIDIA as a provider of large-scale AI infrastructure and a leader in algorithm development for various fields, including computer graphics, robotics, and computational lithography
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The chip industry has shown some uncertainty regarding GAA adoption. Samsung, the first to announce a fully developed 3nm GAA process, has faced challenges in achieving industry-standard yield rates. TSMC is expected to introduce GAA with its N2 (2nm) lineup of processes
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.NVIDIA's approach to performance scaling, dubbed "Huang's Law" by some, focuses on driving performance through architectural advancements rather than relying solely on process node improvements. This strategy has allowed the company to scale up chip efficiency by over 1,000x in a decade
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.As NVIDIA continues to push the boundaries of GPU and AI technology, the company's stance on process node advancements and its focus on architectural innovations could have significant implications for the broader AI and high-performance computing markets. The balance between leveraging new manufacturing technologies and optimizing existing architectures will likely remain a key factor in NVIDIA's strategy moving forward.
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