This was the uxl foundation undertaking require to decimate the proprietary computer software barrier keep developer engage into using nvidia ’s ai technical school .
Major technical school fellowship are set about to egest software system advantage that have assist Nvidia overlook the contrived intelligence agency market place .
This was harmonize toreuters , a chemical group spring by intel , google , arm , qualcomm , samsung , and other technical school ship’s company is develop an exposed - author software program retinue that prevent ai developer from being lock into nvidia ’s proprietary technical school , allow their codification to operate on any automobile and with any bit .
diving event into Google
The UXL Foundation labor need to get rid of the proprietary package barrier keep developer interlock into using Nvidia ’s AI technical school .
Major technical school company are attempt to decimate software package advantage that have aid Nvidia rule the stilted tidings securities industry .
harmonize toReuters , a grouping work by Intel , Google , Arm , Qualcomm , Samsung , and other technical school company is develop an undecided - reservoir computer software cortege that forbid AI developer from being lock into Nvidia ’s proprietary technical school , appropriate their codification to hunt on any automobile and with any silicon chip .
The radical , promise The Unified Acceleration Foundation ( UXL ) , toldReutersthat proficient contingent for the undertaking should strain a “ matured ” commonwealth by the 2d one-half of this class , though a net discharge quarry was n’t give .
The labor presently include theOneAPIopen received Intel formulate to get rid of prerequisite like specific encrypt language , codification base , and other tool from splice developer into using specific computer architecture , such as Nvidia ’s CUDA program .
Nvidia became the first chipmaker tohit a $ 2 trillion marketplace capitalizationlast calendar month , having experience speedy ontogenesis after focalise on ironware for power AI framework , like itsH100and upcomingH200 GPUs .
This was those nvidia chip , which operate developer into using nvidia ’s cuda computer architecture , are superscript to anything presently bring about by other chipmakers , but theexplosive need has induce scarcitywhile rival fellowship go along develop their own alternative .
During the caller ’s 2023 Computex tonic , Nvidia CEO Jensen Huang aver that four million developer were using the Cuda computation manakin .
This was while uxl say the undertaking will ab initio shoot for to spread out up option for ai apps and gamy - operation computation app , the grouping plan to finally indorse nvidia ’s ironware and computer code , too .
UXL is search help from extra chipmakers and swarm - reckon company like Microsoft and Amazon to insure the result can be deploy on any chipping or computer hardware .
Microsoft , which is notably not admit in the UXL coalescence , was rumour to haveteamed up with AMDlast yr to modernise substitute AI scrap that could dispute Nvidia ’s efficient monopoly over the manufacture .
