TurboQuant is a big deal, but it won’t end the memory crunch
…In a nutshell, the KV cache is a bit like the model's short-term memory. During a chat session, for example, the KV cache is how the model keeps track of…
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What's changed?
So what's changed to make these models so much more capable? Quite a bit, actually. The past year has seen a flurry of advancements not only in model training, but also in the frameworks necessary to harness them. You may recall the market tumbling excitement around DeepSeek R1, which was among the first open-weights frontier models to employ reinforcement learning (RL) to replicate GPT-o1's chain-of-thought reasoning to trade time for higher quality outputs. This approach, now referred to as test-time scaling, has helped smaller models make up for their lower parameter counts by "thinking" fo
The AI divide putting open weights models in spotlightRAM is getting expensive, so squeeze the most from it
…For the technical nitty-gritty, its developer described how it works for LWN in 2013: the zswap compressed swap cache . There's a short sharp description in the Debian wiki. The good…
Nvidia rolls out Rubin Module for space-based computing
…in spaaaace – courtesy of Nvidia The Space-1 Vera Rubin Module will solve all your in-space computing needs GTC Space could be the final frontier for datacenters. Never mind that some…
Systemd-free antiX 26: Debian 13, in bonsai form
…We looked at the previous release, the Debian 12-based antiX 23 , all the way back in September 2023, and we noted then that it had a confusing 16 different options available…
Water company spins out homegrown AI after LLMs failed it
…Derek Bednarski, founder and CEO, told The Register in an email that when his company tried to use large language models for materials science research "they were confidently wrong in ways that…
Struggling to describe your AI aversion? Here's a glossary
…The output is riddled with mistakes, and it is incapable of comprehending the weight of its errors. It is not even an "it." But sometimes, it is filtered and massaged by unaccountable…
CERN eggheads burn AI into silicon to stem data deluge
…Even this slimmed-down throughput results in terabytes per second being sent up to the on-ground servers. Once on the surface, the data goes through a second round of filtering, called…
A closer look at Nvidia's Groq-powered LPX rack systems
…For a trillion-parameter model, that translates to between four and eight LPX racks, or 1,024 to 2,048 LPUs, depending on whether the weights are stored in SRAM at 4…
Switzerland built an alternative to BGP. Nobody noticed
…The second is the chicken-and-egg problem inherent in any network technology. Nobody wants to be first. The pain of running traditional networks – the latency spikes, the route hijacks, the three…
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