Tag: inference optimization
Cost-Optimal Training for LLMs: Balancing Training and Inference Compute
Explore cost-optimal training for LLMs by balancing compute budgets between model size, training data, and inference efficiency. Learn how scaling laws like Chinchilla reduce costs.
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How to Plan Memory for LLM Inference and Avoid OOM Errors
Learn how to plan memory for LLM inference to avoid OOM errors. Explore techniques like CAMELoT, Larimar, and Dynamic Memory Sparsification to optimize performance.
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Scheduling Strategies to Maximize LLM Utilization During Scaling
Smart scheduling can boost LLM throughput by 3.7x and cut costs by 87%. Learn how continuous batching, sequence prediction, and token budgeting unlock GPU efficiency at scale.
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