Processor hardware for machine learning is in their early stages but it already taking different paths. And that mainly has to do with dichotomy between training and inference. Not only do these two ...
AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...
In this podcast, we look at storage and artificial intelligence (AI) with Jason Hardy, chief technology officer for AI with Hitachi Vantara. He talks about the performance demands on storage that AI ...
Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...
[SPONSORED GUEST ARTICLE] As the demand for AI infrastructure becomes a mainstream trend, companies are facing an unprecedented challenge: how to build a compute core that is both powerful and ...
The vast proliferation and adoption of AI over the past decade has started to drive a shift in AI compute demand from training to inference. There is an increased push to put to use the large number ...
The open-source software giant Red Hat Inc. is strengthening the case for its platforms to become the foundation of enterprises’ artificial intelligence systems with a host of new features announced ...
High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in real-world scenarios, such as chatbots interacting with customers, or the AI code ...
NVIDIA’s Hopper H100 Tensor Core GPU made its first benchmarking appearance earlier this year in MLPerf Inference 2.1. No one was surprised that the H100 and its predecessor, the A100, dominated every ...
DDN has launched xFusionAI, a new Artificial Intelligence (AI) infrastructure designed to integrate training and inference capabilities into a single platform. This solution targets enterprises and ...
Meta has unveiled its second-generation "training and inference accelerator" chip, or "MTIA", nearly a year after the first version, and the company says its new part brings substantial performance ...
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