As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, ...

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, ...

[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 ...

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 ...

Google Cloud AI Platform is an end-to-end machine learning platform as a service (ML PaaS) targeting data scientists, ML developers, and AI engineers. The Cloud AI Platform has services to tackle the ...

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 ...

A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was published by researchers at imec. “Large language models (LLMs), based on ...

I’m getting a lot of inquiries from investors about the potential for this new GPU and for good reasons; it is fast! NVIDIA announced a new passively-cooled GPU at SIGGRAPH, the PCIe-based L40S, and ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Oliver King-Smith, founder ...

Red Hat Inc. today announced a series of updates aimed at making generative artificial intelligence more accessible and manageable in enterprises. They include the debut of the Red Hat AI Inference ...