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The Blackwell-based GB200 NVL72 GPU system can perform AI inference a whopping 30 times faster than the equivalent H100 system. That performance is unleashed by Nvidia's fifth generation of NVLink ...
Nvidia’s GPUs have been crucial to the realization of AI as a viable platform, thus sending the company stock soaring from near bankruptcy to over $3.2 trillion market cap. Nvidia’s rocket ...
NVIDIA already makes a GPU that's 5-30 times faster every two years, and now they're going to do every year. If you're a competitor, it's nearly impossible to keep up with that, and that's just ...
In 2006, Nvidia's GPU had a 4x performance advantage over other CPUs. In 2018 the Nvidia GPU was 20 times faster than a comparable CPU node: the GPUs were 1.7x faster each year. Moore's law would predict a doubling every two years, however Nvidia's GPU performance was more than tripled every two years, fulfilling Huang's law. [5]
AMD stock at 7 times sales, while not exactly cheap, at least looks four times cheaper than Nvidia. That said, there's a reason why Nvidia stock costs so much when valued on sales.
Components of a GPU. A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.
Over the same period, Nvidia stock has increased about 40%. Nvidia makes the most advanced graphics processing units (GPUs) for data centers, which are used to develop artificial intelligence (AI ...
The GPU having quick access to a high amount of L2 cache benefits complex operations like ray tracing compared to the GPU seeking data from the GDDR video memory which is slower. Relying less on accessing memory for storing important and frequently accessed data means that a narrower memory bus width can be used in tandem with a large L2 cache.