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Huang Renxun Praises OpenClaw for Record-Breaking Adoption, Completing Linux's 30-Year Journey in Weeks
NVIDIA CEO Jensen Huang delivered a keynote address at the recent Morgan Stanley conference, declaring that agentic AI has reached a pivotal historical milestone and offering high praise for the open-source project OpenClaw.
Huang described OpenClaw as "the most significant software release of our time." He noted that while the Linux operating system took approximately 30 years to reach its current level of adoption, OpenClaw achieved this milestone in just three weeks, making it the most downloaded open-source software in history.
During his speech, Huang outlined the "five-layer cake" framework of the AI industry:
Energy layer,Chip and computing infrastructure layer,Cloud data center layer,AI model layer,Application layer
He stressed that the "application layer" at the top offers the highest returns for large-scale cloud providers. Agentic AI systems like OpenClaw can accurately replicate and replace human workloads. Because of the demand for long-context processing, token consumption has surged by roughly 1,000 times, creating a massive "compute vacuum."
To address the compute bottlenecks posed by agentic AI, NVIDIA is shifting its R&D focus. The upcoming Vera Rubin architecture will be specifically optimized for long-context processing, overcoming existing hardware limitations in agentic applications through enhanced on-board memory and the integration of the ICMS platform.
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NVIDIA CEO Jensen Huang delivered a keynote address at the recent Morgan Stanley conference, declaring that agentic AI has reached a pivotal historical milestone and offering high praise for the open-source project OpenClaw.
Huang described OpenClaw as "the most significant software release of our time." He noted that while the Linux operating system took approximately 30 years to reach its current level of adoption, OpenClaw achieved this milestone in just three weeks, making it the most downloaded open-source software in history.
During his speech, Huang outlined the "five-layer cake" framework of the AI industry:
Energy layer,Chip and computing infrastructure layer,Cloud data center layer,AI model layer,Application layer
He stressed that the "application layer" at the top offers the highest returns for large-scale cloud providers. Agentic AI systems like OpenClaw can accurately replicate and replace human workloads. Because of the demand for long-context processing, token consumption has surged by roughly 1,000 times, creating a massive "compute vacuum."
To address the compute bottlenecks posed by agentic AI, NVIDIA is shifting its R&D focus. The upcoming Vera Rubin architecture will be specifically optimized for long-context processing, overcoming existing hardware limitations in agentic applications through enhanced on-board memory and the integration of the ICMS platform.
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