The Future of Serverless Inference for Large Language Models
Unite.AI
JANUARY 26, 2024
Selective Execution Rather than compressed models, these techniques selectively execute only parts of the model per inference: Sparse activations – Skipping computation on zero activations. In serverless architectures, LLMs are hosted on shared GPU clusters and allocated dynamically based on demand.
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