Nvidia is still the fastest AI and HPC accelerator across all MLPerf benchmarks; Hopper performance increased by 30% thanks ...

This is four times more than the largest cluster we built with TPU v5p." Google also claims a 67% increase in energy ...

Google Cloud has unleashed its latest TPU, Trillium, the sixth-generation model in its custom AI chip lineup, designed to ...

Google's Tensor G5 will move away from Arm to a new Imagination Technology's GPU. We dive deep into the tech to tell you what ...

For instance, where are the benchmark results for Google’s own JetStream inference engine? Moreover, where are the tests comparing the TPU v5p to the Trillium chip? In its blog describing the ...

Google Cloud pairs the sixth-generation Trillium with infrastructure services compatible with NVIDIA’s upcoming Blackwell ...

Google Cloud turbocharges its AI Hypercomputer stack with next-gen TPUs and bigger GPU clusters - SiliconANGLE ...

According to DIGITIMES Research's report on cloud ASIC accelerators, the global shipment of self-developed cloud AI ASIC ...

Google Coral edge devices allow us to run deep learning models on edge devices like the Raspberry Pi. This repository shows you how to use a Coral Edge TPU for different applications including Image ...

But Google Team 1 showed later in Yue et al. 46 that pre-training on “diverse TPU blocks” did not improve quality of results. Pre-training on “previous netlist versions” improved quality somewhat. Pre ...