Red Hat enterprise-specific benchmarks for coding agents: Why we built RH SWE-bench

Coding agents promise to revolutionize software development, but how do we know if they're any good at the kind of work enterprise teams do every day? SWE-bench, a benchmark for evaluating large language models (LLMs) on real-world software issues, established the...

Enterprise AI on your machine: Local inference and benchmarking with Red Hat AI Inference

Evaluating local large language model (LLM) performance before scaling to enterprise production doesn't require complex infrastructure. With Red Hat Enterprise Linux (RHEL) and Red Hat AI Inference, you can launch, benchmark, and test an OpenAI-compatible server on...

From zero to benchmark: Deploying LLM inference on CPUs with Red Hat AI Inference

What if your standard-issue CPU infrastructure could serve as a hub for enterprise AI? With the right tools, it can. You can deploy a large language model on CPU inside a container on Red Hat Enterprise Linux (RHEL), query it via an OpenAI compatible REST API, and...

Welcome to Red Hat Emerging Technologies

Here you’ll find information about the emerging technology projects the Red Hat Office of the CTO is working on. For us, “emerging technologies” refers to those technologies that are still taking shape in the enterprise or even in research communities. Emerging technologies engineering is pre-product, purely upstream work. Not everything you see here will become part of the Red Hat portfolio roadmap, but we want to share this information with our customers and partners and encourage your participation. At Red Hat, we love to co-create with open source communities, partners and customers. We look forward to you engaging with us and providing your ideas and feedback on these projects.

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