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 ...

Pegatron is making significant strides in the server business, recently showcasing its latest AI solutions at the 2024 Open Compute Project (OCP) Global Summit. This includes six models of servers ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

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.

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...

To address the emerging threats around generative artificial intelligence (gen AI) systems and applications, cybersecurity provider Securiti has launched a firewall offering for large language models ...