With the AI race in full swing, big tech is constantly on the lookout to make custom chips that are able to compete with or offer alternatives to NVIDIA's pricey and short-in-supply GPUs. Google's Tensor Processing Units (TPUs) and Amazon's Trainium chips are among several that rely on less power consumption and costs to augment NVIDIA's products in AI computing. Now, a report from Morgan Stanley claims that Google's new TPU chips will be tailored to its Gemini models and eliminate the need for TSMC's chip-on-wafer-on-substrate (CoWoS) chip packaging technology. Google Is Considering To Place New TPU Chip's RAM Directly […]

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Google could not have picked a worse time to deliver a chronically underpowered Gemini 3.6 Flash, coming right on the heels of stunning open-source AI models from China, such as Moonshot's Kimi K3, which employs novel architectural feats to deliver notable cost savings, all the while offering frontier-level performance. Google's Gemini 3.6 Flash performs worse than Meta Spark 1.1, GLM-5.2, GPT-5.6 Luna, Sonnet 5, Grok 4.5, and GPT-5.6 Terra Google has just released the all-new Gemini 3.6 Flash, sporting a context window of 1 million tokens, which is equivalent to 1,500 A4 pages of text, 30,000 lines of code, or […]

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Korean chip giant Samsung is reportedly considering outsourcing orders to design a portion of Google's Tensor Processing Unit (TPU) AI chips. Samsung is believed to be Google's manufacturing partner for the TPU chip's input/output (I/O) die. While the TPU's compute tile is expected to be manufactured by TSMC, the part on which the tile will be connected, called the I/O, is said to be Samsung's responsibility. For the I/O, Samsung is considering outsourcing the back-end design for the chip in order to ensure that Google's design is fit for its manufacturing facilities, says the Korean press. Several Korean Firms in […]

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Google introduced their image search 25 years ago and it was amazing.  Previously there was no way to search using an image and Google figured out a way to let you drag…