aiBACKGROUND
ResBM: a new transformer-based architecture for low-bandwidth pipeline-parallel
BACKGROUND
1 SIGNALFIRST DETECTED 16 April 2026
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How the story developed
16 Apr
ResBM: a new transformer-based architecture for low-bandwidth pipeline-parallel training, achieving 128× activation compression [R]
OPINION · WHAT · MachineLearning
6.6
Other feeds and industry voices
3 May
torch-nvenc-compress: GPU NVENC silicon as a PCIe bandwidth multiplier — PCA + pure-ctypes Video Codec SDK wrapper. Parallel-path overlap measured at 67% of theoretical max on a real GEMM + encode workload. [P]
<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1t2zy4h/torchnvenccompress_gpu_nvenc_silicon_as_a_pcie/"> <img alt="torch-nvenc-compress: GPU NVENC
OPINION · WHAT · MachineLearningOPEN STORY
7 Apr
Attention Residuals: How Kimi Is Rethinking Transformer Depth
<p>Every transformer you've ever used stacks layers with a dead-simple formula: take the input, add the layer's output, move on. <code>x + layer(x)</code>. Fixed weight of 1. No
REPORT · HOW · Dev.toOPEN STORY
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