Red Hat Developer

Obsessing over model selection while enterprise data remains siloed won't scale production #AI. Discover a practical 3-part framework across foundation, trust, and open ecosystems to ensure your structured and unstructured data is truly agent-ready. 🔗 red.ht/47UFlG3

Evaluating LLM performance locally before scaling shouldn't require complex infrastructure. See how to launch and test an OpenAI-compatible vLLM server on local hardware using @RedHat_AI Inference. red.ht/4z8Aj4P

We need to know if AI coding agents can handle enterprise software, but existing benchmarks don't include many of the repos enterprise teams work on. Red Hatters built RH SWE-Bench to close the gap for Red Hat ecosystem repos across Go, C, and Python. red.ht/4ib3oVP

Simplify package upgrades with dependency analytics. Detect vulnerable dependencies directly in your IDE, get clear remediation guidance, and apply quick fixes to upgrade to hardened versions without breaking changes. #security #opensource 🔗 red.ht/4zOGElV

📈 Turn metrics into insights. Create interactive dashboards for #AI model performance and #OpenShift cluster metrics using #Prometheus. Visualize your stack: red.ht/4vfMniD

Split etcd into 2️⃣ shards for hosted control planes: 1 for cluster state, 1 for events. Testing shows materially faster compaction, better write throughput, and no regression in pod latency under event pressure. #Kubernetes #OpenShift 🔗 red.ht/47R7H3N

Stop overthinking your #AI stack. Deploy focused, community-driven AI use cases in minutes on #RedHat AI. Fast, simple, and built for the real world. Chose the #AI Quickstart that best suits your needs: red.ht/486VKYf

Can you run enterprise #AI on standard CPUs? The simple answer, absolutely. Learn how to deploy LLM inference on #RHEL, query it with an OpenAI-compatible API, and benchmark performance with cpueval and GuideLLM, no GPUs required. 🔗 red.ht/4du0aeL

Stop digging through logs. Use an #AI agent to identify #Ansible errors, route them to the right team, and get guided remediation steps. ⚡ Speed up your troubleshooting: red.ht/3OclYC8

Accurate LLM benchmarking ensures optimal infrastructure ROI. Using #RedHat #AI Inference and #Podman, can show you how #GuideLLM helps performance engineers benchmark across concurrency levels and other variables to optimize GPU deployments. 🔗 red.ht/4AYoI9Q