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TL;DR: Single-image diffusion inference is bottlenecked by kernel launch overhead and attention...


TL;DR: Our SDXL LoRA fine-tune for a Photoroom product photography model trained for six days while....


A 96GB GPU couldn't run 1024x768 I2V (83.5 GiB peak). The 54 GiB wasn't the model — it was an autogr...


TL;DR: I shrunk a gesture-recognition model for a Prophesee EVK4 event camera from 4.2MB down to...


TL;DR: We turned on vLLM's prefix cache for our agent workloads at Nexus Labs and watched TTFT drop....


TL;DR: Our DPO pipeline used a single LLM as the preference judge. Training reward climbed every run...


TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on...


Every time a PyTorch model refuses to learn, the debugging process looks the same: Stare at the...


Your GPU sits at 15% utilization and bigger batches don't help? Here's how to diagnose whether you'r...


TL;DR: We took Meta's SAM 2 small (around 224M params) and distilled it into a 6.3MB student that...