Tech Radar & Intelligence Watch — Page 2
Technology briefings, platform engineering updates, and AI infrastructure insights from Aperta Intelligence Lab.
Latest Briefings & Intelligence
Technology briefings, platform engineering updates, and AI infrastructure insights from Aperta Intelligence Lab.
eBPF Runtime Security: Tracing and Isolating Threats in GPU Namespaces Without Inference Overhead
How Red Hat Advanced Cluster Security (RHACS) leverages eBPF kernel tracing to secure AI inference clusters without adding latency.
Sovereign Fine-Tuning: Why the LAB Methodology (InstructLab) Outperforms Classical LoRA for Enterprise AI
How the Large-Scale Alignment for ChatBots (LAB) methodology and InstructLab enable sovereign alignment of enterprise open-source LLMs without catastrophic forgetting.
AI Infrastructure is a Systems and Platform Engineering Challenge
Why enterprise AI deployment demands deep mastery of Linux kernel primitives, GPU memory bandwidth, and Kubernetes orchestration.
Kubernetes LLM Serving: Chunked Prefill and PagedAttention in Production
How to stabilize TTFT latency and eliminate VRAM fragmentation when scaling LLM serving on Kubernetes and OpenShift clusters.
Optimizing LLM Inference in Production: Beyond the API Wrapper
Deep dive into enterprise AI infrastructure: PagedAttention, Chunked Prefill, and multi-GPU speculative decoding on OpenShift AI.
Distributed Inference: Disaggregated Prefill & Decode with vLLM and KubeRay
Scaling LLM inference in production: isolating compute-bound prefill from memory-bound decode stages using vLLM and KubeRay on OpenShift AI.
Tech Radar & Intelligence: OpenShift Virt, vLLM Speculative Decoding & InstructLab
Aperta Intelligence Lab tech briefing: live migration optimizations in KubeVirt, vLLM speculative decoding, and sovereign model alignment with InstructLab.