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LLM Infrastructure/Lintasan Inti/I3

I3

Distributed Serving & Parallelism Strategies

Tensor Parallelism, Pipeline Parallelism, Expert Parallelism (MoE), Interconnect (NVLink, PCIe)

Durasi

1.5 mgg

Lesson

5

Project

1

Mode

2 jenis

Lesson

0/5 selesai

01
Kapan dan Mengapa Butuh Distributed GPU Serving?
02
Tensor Parallelism (TP): Megatron-LM Style
03
Pipeline Parallelism (PP): Pembagian Layer Lintas Device
04
Mixture-of-Experts (MoE) & Expert Parallelism (EP)
05
Project: Multi-GPU Cluster Simulation & TP Profiling

← I2Inference Engines: vLLM, PagedAttention & Continuous Batching I4 →Advanced Optimization: Quantization, Speculative Decoding & Production LLMOps

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(RAG hybrid: cosine + BM25, RRF)

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