Breaking News
Epstein Client List BOMBSHELL, Musk's 'America Party' & Tucker's Iran Interview | PB
The Hidden Cost of Union Power: Rich Contracts and Layoffs Down the Road
Do They Deserve It? Mexico Is Collapsing As The US Deports Illegals Back Home
Copper Soars To Record High As Trump Unleashes 50% Tariff
Top Tech News
Insulator Becomes Conducting Semiconductor And Could Make Superelastic Silicone Solar Panels
Slate Truck's Under $20,000 Price Tag Just Became A Political Casualty
Wisdom Teeth Contain Unique Stem Cell That Can Form Cartilage, Neurons, and Heart Tissue
Hay fever breakthrough: 'Molecular shield' blocks allergy trigger at the site
AI Getting Better at Medical Diagnosis
Tesla Starting Integration of XAI Grok With Cars in Week or So
Bifacial Solar Panels: Everything You NEED to Know Before You Buy
INVASION of the TOXIC FOOD DYES:
Let's Test a Mr Robot Attack on the New Thunderbird for Mobile
Facial Recognition - Another Expanding Wolf in Sheep's Clothing Technology
Tesla Dojo, Supercomputers and AI
There does not seem to be a limit for neural nets to utilize more resources to get better and faster results.
Tesla is motivated to develop bigger, faster computers that are precisely suited to their needs.
The Google TPU architecture has not evolved as much over the last 5 years. The Google TPU chip is designed for the problems that Google runs. They are not optimized for training AI.
Tesla has rethought the problem of AI training and designed the Dojo AI supercomputer to optimally solve their problems.
If Tesla commercializes the AI supercomputer that will help to get to lower costs and greater power with more economies of scale.
One of the reasons that TSMC overtook Intel was that TSMC was making most of the ARM chips for cellphones. TSMC having more volume let them learn faster and drive down costs and accelerate technology.
99% of what neural network nodes do are 8 by 8 matrix multiply and 1% that is more like a general computer. Tesla created a superscalar GPU to optimize for this compute load.