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Optimizing Large Language Models with NVIDIA's TensorRT: Pruning and Distillation Explained

Optimizing Large Language Models with NVIDIA's TensorRT: Pruning and Distillation Explained

Explore how NVIDIA's TensorRT Model Optimizer utilizes pruning and distillation to enhance large language models, making them more efficient and cost-effective.

NVIDIA's Breakthrough: 4x Faster Inference in Math Problem Solving with Advanced Techniques

NVIDIA's Breakthrough: 4x Faster Inference in Math Problem Solving with Advanced Techniques

NVIDIA achieves a 4x faster inference in solving complex math problems using NeMo-Skills, TensorRT-LLM, and ReDrafter, optimizing large language models for efficient scaling.

NVIDIA TensorRT for RTX Brings Self-Optimizing AI to Consumer GPUs

NVIDIA TensorRT for RTX Brings Self-Optimizing AI to Consumer GPUs

NVIDIA's TensorRT for RTX introduces adaptive inference that automatically optimizes AI workloads at runtime, delivering 1.32x performance gains on RTX 5090.

StreamingLLM Breakthrough: Handling Over 4 Million Tokens with 22.2x Inference Speedup

StreamingLLM Breakthrough: Handling Over 4 Million Tokens with 22.2x Inference Speedup

SwiftInfer, leveraging StreamingLLM's groundbreaking technology, significantly enhances large language model inference, enabling efficient handling of over 4 million tokens in multi-round conversations with a 22.2x speedup.

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