Your ML inference isn't slow because of compute — it's memory-bound. Here's how to diagnose it with profilers and fix it with kernel fusion and quantization.
Your GPU sits at 15% utilization and bigger batches don't help? Here's how to diagnose whether you're compute, memory, or overhead bound — and fix it.
Why MTP often fails to speed up llama.cpp inference, and how to debug acceptance rate, VRAM pressure, and CUDA graph capture issues.
A practical guide to debugging silent memory corruption in CUDA kernels, with compute-sanitizer workflows and a look at Rust-on-GPU tooling.
Learn how CPU offloading, activation checkpointing, and smart memory management enable training 100B+ parameter LLMs on a single GPU.
Two independent research teams disclosed GDDRHammer and GeForge attacks that exploit Rowhammer-style bit flips in GDDR6 GPU memory to break page table isolation and gain full root access to the host machine.
