Nvidia's $20B Groq deal and Groq 3 LPU debut at GTC 2026 signal a shift from GPU-only inference to heterogeneous AI computing architectures.
There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...
The AI chip market is witnessing intensifying competition as Google's tensor processing units (TPUs) gain momentum alongside Nvidia's dominant graphics processing units (GPUs). With Google's Gemini 3 ...
Google's expanding Tensor Processing Unit (TPU) strategy is emerging as a serious challenge to Nvidia's long-running dominance in AI accelerators, particularly after a report from The Information ...
IndiaAI Mission’s chief executive Abhishek Singh said IndiaAI has got 1,050 Google Trillium tensor processing units (TPUs) Additional GPUs comprise 1,300 NVIDIA H100 GPUs by Locuz, 50 Google Trillium ...
Google’s previous “Tensor based Pixel programs have not met its financial targets.” Google Tensor G6 is primarily focused on reducing the price of the chip, as well as making it run cooler and more ...