Now production-ready, llm-d can help orgs squeeze distributed inference performance from GPUs, potentially expanding AI ...
Today, llm-d project contributors announced the release of llm-d 1.0, a major milestone for the open source project designed to help ...
Run Reflection’s Beam model on Google Cloud AI Hypercomputer with llm-d and NVIDIA Dynamo for up to 5x higher throughput and ...
NVIDIA has announced that TensorRT-LLM is coming to Windows soon and will bring a huge AI boost to PCs running RTX GPUs. NVIDIA RTX GPU-Powered PCs To Get Free AI Performance Boost In Windows With ...
NVIDIA is announcing a brand new AI software stack today known as TensorRT LLM which boosts Large Language Models performance across its GPUs. NVIDIA TensorRT-LLM Delivers Up To 8x Gain In Large ...
TensorRT-LLM provides 8x higher performance for AI inferencing on NVIDIA hardware. As companies like d-Matrix squeeze into the lucrative artificial intelligence market with coveted inferencing ...
In a blog post today, Apple engineers have shared new details on a collaboration with NVIDIA to implement faster text generation performance with large language models. Apple published and open ...
Inception’s Mercury 3 diffusion LLM hits 1,068 tokens per second, offers 1M context, leads 8 of 12 benchmarks.
NVIDIA has announced TensorRT-LLM for Windows. This open-source library will allow PC developers with NVIDIA GeForce RTX graphics cards to boost the performance of LLMs by up to four times. John ...
Not-so-secret Agent.
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LLM quantization without calibration data matches SmoothQuant: DualQuant targets FP4 hardware
LLM quantization without calibration data: DualQuant from AI inference startup d-Matrix eliminates the dataset requirement ...
A new Nemo Open-Source toolkit allow engineers to easily build a front-end to any Large Language Model to control topic range, safety, and security. We’ve all read about or experienced the major issue ...
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