Orchestrating Inference: How Kubernetes, Ray, and vLLM Coordinate Under the Hood
A deep dive into how Kubernetes, Ray, and vLLM coordinate to transform independent GPUs into a synchronized inference machine.
Gpu
The Hidden Software Stack Behind Fast LLM Inference
Beyond vLLM and PagedAttention: exploring NCCL, CUTLASS, Triton, and FlashInfer, the libraries that actually make LLM inference fast.
Speculative Decoding: When Guessing Right Makes for Faster Inference
How speculative decoding achieves 2-3× inference speedup without changing model outputs, and why GLM-4.7’s native multi-token prediction marks a paradigm shift.
Flash Attention: The Mathematical Tricks That Broke the Memory Wall
Flash Attention, a memory-efficient attention mechanism for transformers.
Advanced NVIDIA GPU Monitoring for LLM Inference: A Deep Dive into H100 Architecture and Performance Optimization
A deep dive into NVIDIA’s H100 architecture and the monitoring techniques required for production-grade LLM inference optimization.