Pipeline Parallelism

topic on 1 show · 4 statements across 2 episodes

Latent Space

4 statements about Pipeline Parallelism, every show

Pipeline parallelism is only necessary for multi-node AI model inference
“The only reason you would have to do pipeline parallelism which is where you separate, like, different layers, and you put, like, half the layers on one hardware and half on another, is if you are forced to do multi-node inference because a model is bigger tha…”
Philip Kiely Aug 3, 2026 ▶ 54:23 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
Tensor parallelism is a poor fit for local multi-device AI setups
“Tensor parallelism is not a good fit for local AI because it assumes a very high bandwidth interconnects like NVLink was, you know, They might be forced to do something like pipeline parallelism, which we're never going to do unless we're doing some kind of mu…”
Philip Kiely Aug 3, 2026 ▶ 51:29 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
LATENT SPACE Assertion Contradicted
Cheah: Llama 3.1 405B is first frontier model using pipeline parallelism
“This is the first major model that of this cell class size, right? They're saying, hey, we are doing pipeline parallelism.”
Eugene Cheah Jul 29, 2024 ▶ 19:21 [LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
LATENT SPACE Prediction Open · timeframe Jul 2027
Cheah: AI community will replicate Meta's pipeline scheduling algorithm
“This weird scheduling, which I'm quite sure people are going to start replicating it, is to reduce the bubble, the wastage.”
Eugene Cheah Jul 29, 2024 ▶ 18:54 [LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models

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