DynoSim Optimizes LLM Serving Efficiency
New tool DynoSim maps the Pareto frontier for LLM deployments, solving complex tuning challenges in model serving infras…
🏷️ Inference Optimization
7 articles about 'Inference Optimization'
NVIDIA Model Optimizer Makes Quantization Easy
NVIDIA Model Optimizer streamlines post-training quantization, cutting VRAM usage by up to 75% while preserving model ac…
Rethinking AI TCO: Why Cost Per Token Is All That Matters
As enterprises scale AI deployments, traditional infrastructure metrics fail. Cost per token emerges as the single metri…
Google Launches MTP Drafter for Gemma 4, Boosting Speed 3x
Google introduces Multi-Token Prediction drafters for its Gemma 4 AI models, achieving up to 3x faster inference without…
Microsoft MoE Architecture Slashes Inference Costs 70%
Microsoft Research unveils a sparse Mixture-of-Experts architecture that reduces AI inference costs by 70% while maintai…
KAIST Develops Sparse Attention for Faster Transformers
South Korea's KAIST unveils a novel sparse attention mechanism that cuts transformer compute costs while preserving mode…
KAIST Achieves Breakthrough in Transformer Pruning
South Korea's KAIST develops a novel pruning method that cuts Transformer model size by up to 60% while preserving over …
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