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PyTorch Revolutionizes AI Accessibility for Developers

PyTorch Revolutionizes AI Accessibility for Developers

PyTorch, the deep-learning framework, is significantly enhancing AI accessibility for developers, backed by AMD's robust hardware support.

IBM Unveils Breakthroughs in PyTorch for Faster AI Model Training

IBM Unveils Breakthroughs in PyTorch for Faster AI Model Training

IBM Research reveals advancements in PyTorch, including a high-throughput data loader and enhanced training throughput, aiming to revolutionize AI model training.

Enhancing AI Model Efficiency: Torch-TensorRT Speeds Up PyTorch Inference

Enhancing AI Model Efficiency: Torch-TensorRT Speeds Up PyTorch Inference

Discover how Torch-TensorRT optimizes PyTorch models for NVIDIA GPUs, doubling inference speed for diffusion models with minimal code changes.

Enhancing Biology Transformer Models with NVIDIA BioNeMo and PyTorch

Enhancing Biology Transformer Models with NVIDIA BioNeMo and PyTorch

NVIDIA's BioNeMo Recipes simplify large-scale biology model training with PyTorch, improving performance using Transformer Engine and other advanced techniques.

NVIDIA Enhances PyTorch with NeMo Automodel for Efficient MoE Training

NVIDIA Enhances PyTorch with NeMo Automodel for Efficient MoE Training

NVIDIA introduces NeMo Automodel to facilitate large-scale mixture-of-experts (MoE) model training in PyTorch, offering enhanced efficiency, accessibility, and scalability for developers.

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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