Dual NVIDIA DGX Sparks Run 405B AI But Trails Cloud Processing
TL;DR
Deploying a 405-billion-parameter AI model on a desktop is no small feat, but advancements in hardware like the NVIDIA DGX Spark and software such as OPNsense have made it achievable for those with the right resources and expertise. The Stack explores this ambitious undertaking, detailing how configurations like connecting two DGX Spark units via a […] The post Dual NVIDIA DGX Sparks Run 405B AI But Trails Cloud Processing appeared first on Geeky Gadgets.
Nauti's Take
The progress is real: running a 405B model entirely on local hardware was unthinkable two years ago, and for anyone under data protection rules that is the decisive point. The catch is throughput, because teams that need speed pay for it locally in waiting time.
The setup makes sense where data cannot leave the building, not as a cheaper cloud replacement.
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