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A abstemious - powered computer chip designed to driveartificial intelligence(AI ) information centers and make mellow - performance computation ( HPC ) more sustainable has entered production .
In astatementpublished Feb. 24 , representatives from parallel photonic chip ship’s company Q.ANT say its photonic AI microchip could give birth a 30 - fold gain in push efficiency and a 50 - fold boost in computing speed compared with established , silicon - based computer chips .
The Q.ANT wafer based on Thin Film Lithium Niobate enables photonic integrated circuits with high-precision, high-speed optical modulation, low noise and reduced thermal dissipation.
Pilot production of the Modern chip is now underway at IMS Chips in Stuttgart , Germany , where Q.ANT has invested 14 million euros ( $ 15.1 million ) to repurpose an survive semiconductor unit factory to manufacture its new , light - power crisp .
Because the chip is being get on a repurposed facility or else of a specialist yield line , the companionship believe it can bring the technology to commercialise much more quickly . The potato chip can also integrate with the survive HPC server , potentially speed adoption , Q.ANT illustration say .
" By 2030 , we aim to make our photonic processors a scalable , energy - efficient cornerstone of AI infrastructure,“Michael Förtsch , chief executive of Q.ANT , suppose in the statement .
Photonic computing
Photonic scrap could solve a massive challenge face up by existing central processor engineering science , particularly as AI and other data- and resource - intensive computing applications grow .
Traditional atomic number 14 chips curb electrical signals using petite switches call transistors . Photonic micro chip , by contrast , process information usinglight atom ( photon ) , which are massless and can travel much faster than electrons do in conventional calculator chips .
Photons do n’t breathe heat in the same way electrons carrying an electrical charge do . As such , usingphotonic chipsin applications involve complex , energy - intensive computations like AI could overtake the limitations of classic silicon chip architecture and thus vastly accelerate the computers ' processing focal ratio and come down their energy consumption .
Related:‘Crazy mind ' memory machine could slash AI energy use by up to 2,500 times
" This come at a critical clock time for the computer science diligence , as the exponential growth of AI and data point - intensive program will presently overwhelm the current data essence infrastructure,“Jens Anders , a professor at the University of Stuttgart and director and chief executive of IMS Chips , tell in the statement . Anders added that the two company aimed to prove " a scalable model for energy - efficient computing . "
Q.ANT ’s chip is built usingthin - film atomic number 3 niobate ( TFLN ) , a crystalline compound applied to a wafer that shape the basis of the company ’s photonic chip . TFLN is increasinglycatching the aid of photonics researchersand quantum scientist for its electric potential in next - generation computation . When an electric field is implement to the material , it can be used to control the speed and stage of light undulation , thereby enable it to modulate opthalmic signal with uttermost precision .
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The pilot light output line has been position up specifically to fabricate fries that incorporate TFLN , with Q.ANT direct to construct 1,000 wafers per year .
" As AI and data - intensive diligence advertize conventional semiconductor unit applied science to its limits , we postulate to rethink the manner we come near figure at the core , " Förtsch say . " With this pilot dividing line , we are accelerating clock time to market and laying the grounding for photonic processors to become standard coprocessors in in high spirits - performance computing . "
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