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5D Parallelism
Memory components in LLM
P/D disaggregation
Continuous Batching
Decode-Maximal Batching
Chunked Prefill
Layerwise timing of LLM
LLM Inference
Lifecycle Aware Performance
System-Level Parallelism & Scaling [AI workload]
INT8 Quantization
[Calculate] Communication and compute overhead
[Calculate] LLM memory calculations
Global AI Race

[Calculate] Communication and compute overhead

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AI course essential

5D Parallelism
Memory components in LLM
P/D disaggregation

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AI course essential

INT8 Quantization

Understanding how to do calculations in INT8 instead of FP32 and still get same results is a core optimization in DL. DL is highly insensitive to local errors.

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AI course essential

[Calculate] LLM memory calculations

LLM is memory intensive. This limits the LLM that can run on given GPUs. Calculating maximum context length supported in a given hardware + model

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OpenGenus IQ: Pioneering AI Engineering & Algorithms

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[Calculate] Communication and compute overhead

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