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It’s funny how we seem to be on this treadmill of “tech that uses GPUs to crunch data” starting with the Bitcoin thing, moving to NFTs, now LLMs. Wonder what’s
by dgfitz 1y ago
It’s funny how we seem to be on this treadmill of “tech that uses GPUs to crunch data” starting with the Bitcoin thing, moving to NFTs, now LLMs.
Wonder what’s next.
- kevindamm 1y agoAccelerating the calculations done in probabilistic programming languages.
- mjburgess 1y agoAny evidence this can be done, research literature-wise?
- kevindamm 1y agojust a few picks in no particular order https://pmc.ncbi.nlm.nih.gov/articles/PMC2945379/ https://pmc.ncbi.nlm.nih.gov/articles/PMC2945379/ https://arxiv.org/abs/2202.11154 https://arxiv.org/abs/2202.11154 https://lips.cs.princeton.edu/pdfs/liu2024generative.pdf https://lips.cs.princeton.edu/pdfs/liu2024generative.pdf https://arxiv.org/abs/2501.05440 https://arxiv.org/abs/2501.05440
- deleted 1y ago[deleted]
- musicale 1y agoThe twilight of Moore's law and diminishing returns for CPUs are driving a shift to GPUs and other accelerators. GPUs seem to do well for streaming/throughput type workloads. What's interesting that Nvidia has managed to ride each of these bubbles so far.
- otabdeveloper4 1y agoGPUs are incidental here, a dedicated SIMD coprocessor for matrix multiplication would be much better. We'll ditch GPUs eventually.