AI data centers dominated PowerGen, revealing how inference-driven demand, grid limits, and self-built power are reshaping the energy industry.

Abstract: The rise of Large Language Models (LLMs) has significantly escalated the demand for efficient LLM inference, primarily fulfilled through cloud-based GPU computing. This approach, while ...

Accelerator metrics collection during benchmarks (GPU utilization, memory usage, power usage, etc.). Deployment API to help deploy different inference stacks. Support for benchmarking non-LLM GenAI ...

This package includes an inference demo console script that you can use to run inference. This script includes benchmarking and accuracy checking features that are useful for developers to verify that ...

Nvidia unveiled the Vera Rubin AI computing platform at CES 2026, claiming up to 10x lower inference token costs and faster training for MoE models.

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

Abstract: Many artificial intelligence applications based on convolutional neural networks are directly deployed on mobile devices to avoid network unavailability and user privacy leakage. However, ...