Google (NASDAQ: GOOGL) is preparing for a major expansion of its AI infrastructure in 2026 as it moves its seventh-generation ...

Alphabet's (GOOG) (GOOGL) Google said its seventh generation Tensor Processing Unit, or TPU, called Ironwood, will be launched for public use in the coming weeks, CNBC reported. The chip was unveiled ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Google today introduced its seventh-generation Tensor Processing Unit, “Ironwood,” which the company said is it most performant and scalable custom AI accelerator and the first designed specifically ...

Nvidia Acquires Groq Talent In A Strategic To Move Into AI Inference in order to expand its AI ecosystem and take over the ...

Google has unveiled the sixth generation of its custom Tensor Processing Unit (TPU) AI chip, dubbed Trillium. Announced at the company’s annual I/O developer conference in California, Trillium has ...

On Dec. 26, 2025, a $20 billion Groq licensing pact sharpened Nvidia's role at the center of AI data center build‑outs.

Google has officially launched its upgraded AI model, Gemini 2.0, delivering enhanced performance and multimodal capabilities while paving the way for the future era of AI agents. Additionally, Google ...

Amid ongoing US export restrictions, Chinese company Zhonghao Xinying plans to launch its second-generation self-developed ...

Google is collaborating with Meta to strengthen the ecosystem of its self-developed AI semiconductor, the Tensor Processing Unit (TPU), aiming to counter NVIDIA, the dominant player in Graphics ...

Google Cloud is updating its AI Hypercomputer stack for artificial intelligence workloads, announcing the availability of a host of new processors and infrastructure software offerings. Today it ...

Google’s system leverages optical circuit switching (OCS) to create direct, low-latency optical paths between TPU chips, minimizing signal conversion losses. They avoid repeated ...