Is this pic legit? It has a very strong vibe
Miscellaneous News
- Thread starter bd popeye
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It's legit but colour edited
He must be the ultimate Indian private driver.
Yeah he might just actually turn the ISS into a gas chamber.
Amidst hype about AI in general and DeepSeek in particular, NVDA is mentioned non-stop and lots of people talking about CUDA. Some random tidbits here about NVDA.
IIRC, the primary purpose of CUDA is for GPU adaptation layer for general purpose computing. That was what I learned when I was trading INTC/AMD/NVDA shares long time ago. The notion of GPGPU, General Purpose Graphical Processing Unit, came about due to this CUDA functionality for general purpose computing, such as SIMD programming. In software engineering terms, CUDA is an API framework for general purpose programming of NVDA GPUs, no more no less.
Before AI bubble, NVDA has been the number one GPU vendor due to 2 things it has done right:
(1) CUDA gives graphics and video developers familiar synopsis of API programming, while AMD/ATI and other minor GPU vendors never delivered.
(2) It was said that NVDA develops the best device driver for GPU in the industry. I have never written GPU device driver, but I have written gazillions of device drivers for HDLC, Ethernet, UART, I2C etc. Correct me if I am wrong: GPU device drivers were considered most technically challenging among all types of device drivers. And for a large part, a GPU performance depends on quality of its device driver.
Fast forward to this AI bubbling era, people are hyping NVDA as the savior of AI etc. But the fact of the matter is that, NVDA got lucky, partially due to Jensen Huang's vision in providing a programming API that would be more friendly to game developers.
DeepSeek used PTX instead of CUDA to fine-tune its AI model training. In layman's words, PTX is for assembly programming while CUDA is for C programming. There is no myth in CUDA to those who wrote assembly code or device drivers or BSPs. Usually, people would use lower level language or instruction set to optimize.
Reality sometimes is a real bitch. Like Smalltalk vs Java. Commercial success is technological advancement in capitalism.
That is the THING in my mind when it comes to the significance of DeepSeek releases. Somewhat, to some degree, it punches that myth in NVDA vis-a-vis CUDA as long as AI is concerned.
IIRC, the primary purpose of CUDA is for GPU adaptation layer for general purpose computing. That was what I learned when I was trading INTC/AMD/NVDA shares long time ago. The notion of GPGPU, General Purpose Graphical Processing Unit, came about due to this CUDA functionality for general purpose computing, such as SIMD programming. In software engineering terms, CUDA is an API framework for general purpose programming of NVDA GPUs, no more no less.
Before AI bubble, NVDA has been the number one GPU vendor due to 2 things it has done right:
(1) CUDA gives graphics and video developers familiar synopsis of API programming, while AMD/ATI and other minor GPU vendors never delivered.
(2) It was said that NVDA develops the best device driver for GPU in the industry. I have never written GPU device driver, but I have written gazillions of device drivers for HDLC, Ethernet, UART, I2C etc. Correct me if I am wrong: GPU device drivers were considered most technically challenging among all types of device drivers. And for a large part, a GPU performance depends on quality of its device driver.
Fast forward to this AI bubbling era, people are hyping NVDA as the savior of AI etc. But the fact of the matter is that, NVDA got lucky, partially due to Jensen Huang's vision in providing a programming API that would be more friendly to game developers.
DeepSeek used PTX instead of CUDA to fine-tune its AI model training. In layman's words, PTX is for assembly programming while CUDA is for C programming. There is no myth in CUDA to those who wrote assembly code or device drivers or BSPs. Usually, people would use lower level language or instruction set to optimize.
Reality sometimes is a real bitch. Like Smalltalk vs Java. Commercial success is technological advancement in capitalism.
That is the THING in my mind when it comes to the significance of DeepSeek releases. Somewhat, to some degree, it punches that myth in NVDA vis-a-vis CUDA as long as AI is concerned.
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China has already surpassed the European Union in terms of nominal GDP and the United States in terms of GDP based on purchasing power parity (PPP), so it is already significant. The value of the dollar is propped up by the financialization of the American economy and by vassal states that invest their people's wealth in the American oligarchy. The rest is just talk.
Similar cope to Beltway pundits claiming China can only copy/steal but never innovate. American wealth isn't "fake" and coping that it is will not help you.
US Gov outlawing open source
manqiangrexue
Brigadier
Why, does he fly Boeing alot?