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Teuton Resources Corp V.TUO

Alternate Symbol(s):  TEUTF

Teuton Resources Corp. is a Canada-based exploration stage company. The Company is in the business of acquiring, exploring and dealing in mineral properties in the province of British Columbia, Canada. It owns interests in more than thirty properties in the prolific Golden Triangle area of northwest British Columbia. The Company’s property portfolio includes, Treaty Creek Property, Eskay Rift Property, Harry Property, Del Norte Property, Lord Nelson Property, Orion Property, Big Gold Property, Tonga Property, Fiji Property, King Tut Property, Tuck Property, High North Property, Delta Property, Fairweather Property, Tennyson Property, Pearson Property, Clone Property, Four J’s Property, Konkin Silver Property, Midas Property, Bay Silver Property, Bonsai Property, Gold Mountain Property, Ram Property, Silver Leduc Property, Stamp Property, and Treaty East Property. The Lord Nelson claims lie immediately north of Teuton’s Del Norte property.


TSXV:TUO - Post by User

Post by highperon Apr 10, 2024 3:41pm
153 Views
Post# 35981941

musk describes tomorrow today or AI electricity demand

musk describes tomorrow today or AI electricity demand
The advancement of AI technology, according to Musk, is currently hampered by two main factors: supply shortages on advanced processors — like Nvidia's H100, as it's not easy to get 100,000 of them quickly — and the availability of electricity.

Nvidia's H100 GPU consumes around 700W when fully utilized, and thus 100,000 GPUs for AI and HPC workloads could consume a whopping 70 megawatts of power. Since these GPUs need servers and cooling to operate, it's safe to say that a datacenter with 100,000 Nvidia H100 processors will consume around 100 megawatts of power. That's comparable to the power consumption of a small city.
https://news.yahoo.com/tech/elon-musk-says-next-generation-181954074.html
Musk stressed that while the compute GPU supply has been a significant obstacle so far, the supply of electricity will become increasingly critical in the next year or two. This dual constraint underscores the challenges of scaling AI technologies to meet growing computational demands.

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