Red Hat: a leader in driving sustainability efforts within the IT industry

Share Red Hat makes it a strategic priority to offer energy-efficient products, addressing the growing demand of our customers for sustainable IT solutions. Our efforts are driven by minimizing the increase in energy consumption of AI, cloud computing, and IT infrastructure. Red Hat focuses on open source technologies designed to improve energy efficiency across IT environments. This includes: InstructLab is an open source project that enhances large language models (LLMs) used in generative AI (gen AI), upgrading an LLM with less human input and fewer resources than retraining. One of the key aspects of InstructLab is its focus on smaller, fine-tuned language models. This approach directly translates to improved energy efficiency compared to larger, more resource-intensive LLMs deployed by competitors. Smaller language models require significantly less computational power for training and inference, leading to reduced energy consumption. InstructLab optimizes performance by tailoring SLMs to specific tasks or domains, enhancing efficiency, minimizing wasteful energy, and enabling models to run on lower-power CPUs as opposed to power-hungry GPUs. This lower energy consumption results in reduced operational costs, providing both financial benefits and support for sustainability goals. Red Hat's energy-efficient solutions offer significant benefits for enterprises, from reducing operational costs to helping achieve ambitious sustainability targets. By optimizing resource utilization and enhancing performance, these solutions also provide a crucial competitive advantage in today's market, which include: Red Hat and SoftBank have collaborate d on Artificial Intelligence Radio Access Network (AI-RAN) to optimize power consumption in datacenters powering AI applications and vRAN. This project integrates Kepler, an open source project founded at Red Hat, into SoftBank's AI and Telecom Radio Access System (AITRAS) platform.