Dec 3, 2025 · 11 min read · 1. Why bother understanding this at all? If you’re a developer or founder, you don’t need to reinvent the math of deep learning. But you do need a solid mental model of: what modern LLMs really are, why they’re trained on GPUs/TPUs, how context wi...
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Nov 27, 2025 · 4 min read · Nvidia has officially addressed one of the largest AI-hardware setbacks in its history: Google’s decision to redirect a $250 billion AI compute investment away from Nvidia's GPUs and toward Google’s own TPU roadmap alongside select rival chipmakers. ...
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Nov 8, 2025 · 10 min read · Google to test building AI Data Centres in Space When I first read that Google plans to build AI data centers in space, I thought it was satire. Then I read the technical paper. Then I talked to researchers working on the project. This isn't science...
Join discussionSep 24, 2025 · 6 min read · Hardware Often Takes The Backseat I've been a software guy throughout my journey and rarely I've tried to lift the curtain up and focus on the hardware. Those rare times probably happened during my IOT study sessions at my engineering course. Most of...
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Sep 20, 2025 · 5 min read · The rise of artificial intelligence is driving a foundational shift in computer hardware, not just software. As AI workloads scale in size and complexity—especially deep learning and large language models—traditional CPUs are unable to deliver the ne...
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May 30, 2025 · 6 min read · Let’s talk about the different datatypes that are being used in modern LLMs like GPT, LLaMa and the like. The most common ones that you might have heard: FP32, BFloat16, Float16, INT8, etc. These are all standard data types and available in PyTorch a...
Join discussionMar 23, 2025 · 3 min read · Google Cloud offers a powerful and diverse set of AI and Machine Learning (ML) solutions, catering to a wide range of needs and expertise levels. Whether you're a data analyst, a developer, or a seasoned data scientist, there's a Google Cloud AI tool...
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Mar 5, 2025 · 6 min read · We have witnessed significant advancements in AI-specific hardware, ranging from the widespread adoption of GPUs to the emergence of specialized NPUs and TPUs. Each development has brought us closer to realizing the full potential of AI at the edge. ...
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Mar 7, 2024 · 6 min read · Introduction In the heart of every computer lies a vital component responsible for executing instructions and manipulating data: the processing unit. From handling everyday tasks like web browsing to accelerating complex calculations in artificial in...
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