Microsoft Plans to Invest $5.5 Billion in Singapore by 2029 - WSJ
Microsoft Plans to Invest $5.5 Billion in Singapore by 2029 WSJ
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Microsoft just shipped the clearest signal yet that it is building an AI empire without OpenAI
Six months after renegotiating the contract that once barred it from independently pursuing frontier AI, Microsoft has released three in-house models that directly challenge the partner it spent $13 billion cultivating. MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 are now available in Microsoft Foundry, and they do not carry OpenAI’s name anywhere on the label. The models are [ ] This story continues at The Next Web
Gemma 4 Architecture Comparison
Flagship open-weight release days are always exciting. Was just reading through the Gemma 4 reports, configs, and code, and here are my takeaways: Architecture-wise, besides multi-model support, Gemma 4 (31B) looks pretty much unchanged compared to Gemma 3 (27B). Link to the comparison page: https://sebastianraschka.com/llm-architecture-gallery/?compare=gemma-3-27b 2Cgemma-4-31b Gemma 4 maintains a relatively unique Pre- and Post-norm setup and remains relatively classic, with a 5:1 hybrid attention mechanism combining a sliding-window (local) layer and a full-attention (global) layer. https://preview.redd.it/7bn493789zsg1.png?width=1444 format=png auto=webp s=4b28421ed276cb0b1ba133e3c325d446d68ea1ef The attention mechanism itself is also classic Grouped Query Attention (GQA). But let’s no
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Memory will consume 30% of hyperscaler AI data center spending this year, a 4X increase over 2023 — Nvidia gets preferential supply terms well below standard market rates, says analyst firm - Tom's Hardware
Memory will consume 30% of hyperscaler AI data center spending this year, a 4X increase over 2023 — Nvidia gets preferential supply terms well below standard market rates, says analyst firm Tom's Hardware
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