#英伟达129亿美元收购huggingface
NVIDIA to buy Hugging Face for $12.93 billion—chip ceiling is this going for the crown of the underlying ecosystem? $NVDA
This move has calculated NVIDIA’s defense and offense to the extreme. Selling GPUs is certainly profitable, but the hardware cycle inevitably hits a ceiling. Big companies are racing to develop their own chips, and developers are also trying specialized inference cards. What NVIDIA fears most is compute being diverted in the market—so it simply buys the “home base” of 18 million developers to build models and find datasets.
Old Huang @JensenHuang promises to keep the platform open and not bind developers to its own hardware. Sounds nice, but you can’t take it at face value—back then, Google bought Android, and Microsoft acquired GitHub, and that was the same playbook. The platform remains free and open, but the underlying optimizations and default support are all paving the way for its own CUDA services. Control the model distribution gateway, and you effectively lock in the future AI standard.
This game plan is also extremely risky.
The open-source community is extremely sensitive. As soon as the platform shows even a slight bias, developers will move to new frontiers, and a few hundred million (in USD) can easily go down the drain.
U.S. and EU anti-monopoly regulators will definitely not stand by. NVIDIA takes away 80% of the hardware share—and now it has swallowed the largest model community too. The level of concentration is downright frightening.
Over the next one or two or three years, NVIDIA will inevitably work hard to present itself as magnanimous and neutral—first stabilizing regulators and the community. But business logic never lies. AI competition has already evolved from merely competing on chip compute power to aggressively winning over developers’ working habits.
DYOR
NVIDIA to buy Hugging Face for $12.93 billion—chip ceiling is this going for the crown of the underlying ecosystem? $NVDA
This move has calculated NVIDIA’s defense and offense to the extreme. Selling GPUs is certainly profitable, but the hardware cycle inevitably hits a ceiling. Big companies are racing to develop their own chips, and developers are also trying specialized inference cards. What NVIDIA fears most is compute being diverted in the market—so it simply buys the “home base” of 18 million developers to build models and find datasets.
Old Huang @JensenHuang promises to keep the platform open and not bind developers to its own hardware. Sounds nice, but you can’t take it at face value—back then, Google bought Android, and Microsoft acquired GitHub, and that was the same playbook. The platform remains free and open, but the underlying optimizations and default support are all paving the way for its own CUDA services. Control the model distribution gateway, and you effectively lock in the future AI standard.
This game plan is also extremely risky.
The open-source community is extremely sensitive. As soon as the platform shows even a slight bias, developers will move to new frontiers, and a few hundred million (in USD) can easily go down the drain.
U.S. and EU anti-monopoly regulators will definitely not stand by. NVIDIA takes away 80% of the hardware share—and now it has swallowed the largest model community too. The level of concentration is downright frightening.
Over the next one or two or three years, NVIDIA will inevitably work hard to present itself as magnanimous and neutral—first stabilizing regulators and the community. But business logic never lies. AI competition has already evolved from merely competing on chip compute power to aggressively winning over developers’ working habits.
DYOR
