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AI Inference
Liquid AI Unveils LFM2.5-DSpark: A Leap in Efficient AI Inference
Liquid AI has launched LFM2.5-DSpark, a groundbreaking model architecture that significantly accelerates inference times while maintaining high performance.
NVIDIA TensorRT Model Connect: C++ Inference from Hugging Face in Seconds
NVIDIA's TensorRT Model Connect (TRTMC) enters public preview, offering a revolutionary two-command process to convert Hugging Face models directly into highly optimized C++ inference engines.
The Efficiency Frontier: Mastering the Art of LLM Inference and Cost Optimization
As the AI industry shifts from the training phase to the production phase, the primary challenge has evolved from 'Can we build it?' to 'Can we afford to run it?' This editorial explores the critical strategies for reducing LLM latency and inference costs in high-stakes environments.
vLLM and Transformers: A New Era of Native-Speed Model Inference
The integration of vLLM into the Transformers library marks a significant shift in how developers serve large language models, prioritizing speed and efficiency.