Red Hat reposted this
AI doesn’t have to be expensive. Most companies just use it… inefficiently. During my conversation with Eyal Gutkind from Red Hat, he shared one of the most practical insights I’ve heard at Amazon Web Services (AWS) re:Invent 2025: “You can save 30–40% of your AI cost on 80% of your workloads — today.” Here’s the key idea in simple terms: 💰 GPU instances are powerful — and extremely expensive But most AI workloads don’t need full, high-precision GPU power. Eyal explained that you can: 🔹 Train or run models on cheaper hardware (AWS Inferentia, Google TPU, etc.) 🔹 Use lower precision formats (like BF16) for 95% of your queries 🔹 Keep the expensive GPU runs only for the top 5–10% of cases that truly need full accuracy 🔹 Deploy all of this through a single Inference Server across multiple platforms The result? Massive cost reduction for the same business value. And the best part: These optimizations are not futuristic. They’re not theoretical. They work today. If you want more practical, real-world advice like this, the full Red Hat interview is packed with it. 👉 Watch the full conversation: https://lnkd.in/ensvKrkb Where do you see the biggest opportunity to reduce AI costs in your organization? #RedHatAmbassador #AWSAmbassador #AI #OpenSource #AWSreInvent #AICosts #ModelOptimization #CloudComputing #DigitalTransformation #Efficiency #ad