Deploying a custom language model (LLM) can be a complex task that requires careful planning and execution. For those looking to serve a broad user base, the infrastructure you choose is critical.

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

NVIDIA is now promoting how much people companies that want to train an AI LLM model can save when using the company's GPU. According to their estimates, the price of training their LLMs would drop ...

What if you could deploy a innovative language model capable of real-time responses, all while keeping costs low and scalability high? The rise of GPU-powered large language models (LLMs) has ...

Dublin, Nov. 04, 2024 (GLOBE NEWSWIRE) -- The "GPU Cloud Development Trends and Key Players in the Era of LLM and GenAI" report has been added to ResearchAndMarkets.com's offering. As Generative AI ...

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...

The AI chip giant says the open-source software library, TensorRT-LLM, will double the H100’s performance for running inference on leading large language models when it comes out next month. Nvidia ...

Investing.com -- Alibaba Cloud has published a paper detailing its Aegaeon GPU resource optimization solution for large language model (LLM) concurrent inferencing, the company announced Monday. The ...

Can high-end consumer-grade Nvidia graphics cards, such as the RTX 4090, handle Large Language Models (LLM) AI computing tasks? PowerInfer, an open-source framework developed by Shanghai Jiao Tong ...

Quietly, and likely faster than most people expected, local AI models have crossed that threshold from an interesting ...