TPU v5p – Google's most powerful custom-designed AI accelerator – has been deployed to power the firm's 'AI Hypercomputer'. This is a supercomputing architecture that's built specifically to ...

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

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

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

Trained on Google’s fifth generation TPU v5p, Gemini Pro will launch with an initial 32k context window for text, with future versions set to expand on this, and include features such as ...

Along with the announcement of Gemini, Google is also announcing a new TPU system called Cloud TPU v5p, which is designed for “training cutting-edge AI models.” “This next generation TPU ...

This includes Google’s first-ever custom ARM-based CPU chip for the data center, Google’s new TPU v5p, and new AI features in Google Workspace for meeting and messaging. “The world is ...

The minute that search engine giant Google wanted to be a cloud, and the several years later that Google realized that companies were not ready to buy ...

In addition, Google’s new AI accelerator Tensor Processing Unit v5p is now generally available. Each TPU v5p pod is composed of nearly 9,000 chips over Google’s highest-bandwidth inter-chip ...

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

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

Trillium offers 4x training boost, 3x inference improvement over TPU v5e Enhanced HBM and ICI bandwidth for LLM support Scales up to 256 chips per pod, ideal for extensive AI tasks Google Cloud ...