In our 10-iteration benchmark of Mistral 2 7B inference on Kubernetes 1.30, we observed a 42% throughput gap between default and tuned deployments, with p99 latency swinging from 187ms to 412ms for identical hardware. 🔴 Live Ecosystem Stats ⭐ kubernetes/kubernetes — 122,057 stars, 43,028 forks ⭐ mistralai/mistral-inference — 12,432 stars, 1,897 forks Data pulled live from GitHub and npm. 📡 Hacker News Top Stories Right Now Talking to 35 Strangers at the Gym (436 points) PyInfra 3.8.0 Is Out (103 points) GameStop makes $55.5B takeover offer for eBay (394 points) Newton's law of gravity passes its biggest test (55 points) How Monero's proof of work works (28 points) Key Insights Kubernetes 1.30 's kube-proxy nftables mode reduces Mistral 2 sidecar latency by 18% vs iptables in default configs Mistral 2 7B achieves 892 RPS per vCPU on AWS c6i.xlarge with tuned vLLM 0.4.0 vs 614 RPS with default Hugging Face TGI 2.1.0 Switching from ClusterIP to Istio 1.22 mTLS with PERMISSIVE mode adds 12ms p99 latency but…