C, Performance Tuning, Cuda, Python, high-throughput backends, TensorRT-LLM, vLLM, Profiling, Go, KV-cache optimization, disaggregated serving, inference optimization techniques, speculative decoding, Triton Inference Server, SGLang, large-scale serving systems, batching, tensor pipeline parallelism, quantization, distributed services