Pure-Python INT8 Weight Quantizer for Transformer Inference: A Hands-On Build Guide
Learn to implement a production‑ready INT8 quantizer with per‑channel scaling, test it on transformer weights, and extend it for real‑world deployment.
Learn to implement a production‑ready INT8 quantizer with per‑channel scaling, test it on transformer weights, and extend it for real‑world deployment.
A step‑by‑step guide to building a runnable Python token sampler with temperature, top‑k, and nucleus sampling, perfect for a CV demo.
This project implements a sparse mixture-of-experts router with learned gating and top-k expert selection, demonstrating practical deep learning systems skills.
Learn how to harness eBPF programs to safely instrument the kernel, collect metrics, and build low‑overhead tracing pipelines.
NVIDIA MIG lets you slice a single GPU into multiple isolated instances, each with dedicated memory and compute. This post covers the architecture, Kubernetes integration, and production patterns for deploying MIG in containerized environments.