Extropic builds TSU hardware
TSU is a thermodynamic sampling unit for energy-efficient generative AI using probabilistic computing and Gibbs sampling. Z1 chip features hundreds of thousands of cells.
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Thermodynamic computing hardware developer
extropic.aiLast updated
In short: Extropic emerged from stealth to develop thermodynamic AI chips designed to be significantly more energy efficient than traditional hardware.
TSU is a thermodynamic sampling unit for energy-efficient generative AI using probabilistic computing and Gibbs sampling. Z1 chip features hundreds of thousands of cells.
XTR-0 enables ultra-efficient AI algorithm development using X0 chips with probabilistic TSUs. Ships limited units to researchers. Upgradable to future chips.
The all-transistor design implements denoising models, achieving GPU parity with 10,000 times less energy on image benchmarks.
Normal Computing is part of a growing group of startups exploring alternatives to conventional AI hardware, including Unconventional AI, led by former Intel AI chief...
Can thermal noise become computing fuel for AGI, Inside Extropic's P-bit chips, early tests hint at efficiency gains but algorithms must catch up.
Will Knight / Wired: Extropic, which says its chips using probabilistic bits can be 10,000x more energy efficient than current AI chips, shares its first...
Startup Extropic has launched a new thermodynamic computing architecture, promising AI chips thousands of times more energy-efficient than...
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