Inference

Orchestra conductor coordinating musicians in a circular arrangement

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.

Iceberg visualization showing the hidden software stack behind LLM inference

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.

Why Can Your Laptop Run LLaMA? A Deep Dive into Quantization

How 4–8x compression and Hessian-guided GPTQ make 70B-scale models practical on modest hardware—what INT8/INT4 really cost, and when accuracy holds.

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.