Gadgets
fromGadgets 360
1 week agoPS6 Could Support More Complex Game Worlds With This Upgrade
PlayStation 6 may ship with up to 30GB of unified memory using 3GB GDDR7 modules, a 160-bit bus, and around 640GB/s bandwidth.
#memory-bandwidth
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#hbm4 #ai-infrastructure #snapdragon-x2 #playstation-6 #unified-memory #gddr7 #inference-accelerators
fromTheregister
2 weeks agoPositron opts for laptop RAM over HBM to take on Nvidia
On paper, Positron's next-gen Asimov accelerators, no doubt named for the beloved science fiction author, don't look like much of a match for Nvidia's Rubin GPUs. Yet, the Arm-backed AI startup boasts its inference chip will churn out five times as many tokens per dollar while using one-fifth the power of Nvidia's latest accelerators to do it. Those are certainly some bold claims, which the company contends are possible because the chip was designed to support large-scale inference workloads.
Artificial intelligence
fromWIRED
4 months agoI Benchmarked Qualcomm's New Snapdragon X2 Elite Extreme. Here's What I Learned
It's important to note that this was all tested on the X2 Elite Extreme configuration, which comes with six additional CPU cores over the standard X2 Elite. There were no X2 Elite systems to test, so we don't know what those multi-core scores will be. I've been told that GPU performance will also scale up on the X2 Elite, but we don't yet know how much faster the X2 Elite Extreme is over its sibling.
Silicon Valley
fromInfoWorld
5 months agoThe hidden threat to AI performance
AI workloads are already expensive due to the high cost of renting GPUs and the associated energy consumption. Memory bandwidth issues make things worse. When memory lags, workloads take longer to process. Longer runtimes result in higher costs, as cloud services charge based on hourly usage. Essentially, memory inefficiencies increase the time to compute, turning what should be cutting-edge performance into a financial headache.
Artificial intelligence
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