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How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention

In this tutorial, we implement xFormers: a practical toolkit for building fast, memory-efficient Transformer models on GPUs. We begin by validating memory-efficient attention against a standard attention implementation, then compare their speed and memory consumption across different sequence lengths. We then examine causal masking, packed variable-length sequences, grouped-query attention, and custom ALiBi positional biases. Finally,

How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention Read More »

AI Weekly Issue #504: America blocked its best AI. China just raised $7.4 billion.

Four days after Washington cut foreign access to Anthropic’s top models, the fallout is clear — and it’s flowing to everyone but Anthropic. Cohere says it’s drowning in government inbounds, DeepSeek just closed a record $7.4B round, and China’s labs are slashing token prices up to 99%. The export control meant to protect America’s AI

AI Weekly Issue #504: America blocked its best AI. China just raised $7.4 billion. Read More »

Trump’s DoJ intervenes to back Elon Musk in datacenter pollution lawsuit

Justice department urges judge to throw out suit brought by NAACP over xAI’s methane-gas turbines in MississippiThe Trump administration is coming to the defense of Elon Musk in a lawsuit over claims that his artificial intelligence company, xAI, is polluting residential neighborhoods in north Mississippi. The justice department told a federal court late on Monday

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