| ▲ | creddit 6 hours ago | ||||||||||||||||
They don't have the talent. | |||||||||||||||||
| ▲ | iso-logi 6 hours ago | parent | next [-] | ||||||||||||||||
Are you suggesting Nvidia doesn't have talent in the AI industry? NVIDIA has released NVIDIA Deep Learning Super Sampling (DLSS) and a Frame Generation model, NVIDIA Super Resolution (VSR) being the most popular/well known models. (DLSS is outstanding technology, despite the sometimes misleading marketing). Nvidia has released countless models: Alpamayo 1 (Car navigation model) Cosmos-Reason2 (reasoning vision language model) Nemotron 3 (Large Language Model series) Llama-Nemotron (Large Language Model series) Isaac GR00T (VLA Models) Nemotron OCR (Optical Character Recognition models) Take a look at their HuggingFace Collections, almost 100 different collections with countless models inside each collection: https://huggingface.co/nvidia/collections | |||||||||||||||||
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| ▲ | rl3 6 hours ago | parent | prev [-] | ||||||||||||||||
NV has a massive amount of AI talent, and a lot of them have PhDs. Are you suggesting they're lacking on the ultra-high-end? That is: 5-10M+ in comp to sign a single researcher/IC; industry rock star territory. Major frontier AI labs do tend to have that type of talent in abundance. I'm sure NV has the equivalent when it comes to hardware design. Surely in AI research too, but perhaps not in the same quantities. | |||||||||||||||||