https://aik8s.run/en/ GPUs, data, scheduling, training, inference, RAG, agents, and production operations en Wed, 21 Oct 2026 04:00:45 +0000 https://aik8s.run/en/ai-k8s/rag-agent/openkruise-agents-kubernetes-practice/ https://aik8s.run/en/ai-k8s/rag-agent/openkruise-agents-kubernetes-practice/ Wed, 21 Oct 2026 03:43:55 +0000 2026-10-21T03:59:26+00:00 Deploy OpenKruise Agents 0.6.0 on Kubernetes 1.30.4, verify the E2B SDK, warm and on-demand creation, filesystem separation and expiry, investigate blocked resume, and compare Kubernetes SIG Apps Agent Sandbox Updated: 2026-10-21 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/inference/deepinfer-architecture-analysis/ https://aik8s.run/en/ai-k8s/inference/deepinfer-architecture-analysis/ Tue, 20 Oct 2026 09:41:35 +0000 2026-10-20T09:41:35+00:00 A source-level review of DeepInfer's initial public commit, covering DSpark, asynchronous scheduling, Attention DP/CP, MoE EP/EPLB, SWA bounded replay, hardware requirements, and Kubernetes integration boundaries inference https://aik8s.run/en/ai-k8s/practices/deepseek-v41-pro5000-h20-observation/ https://aik8s.run/en/ai-k8s/practices/deepseek-v41-pro5000-h20-observation/ Mon, 19 Oct 2026 11:10:50 +0000 2026-10-19T11:35:57+00:00 A read-only analysis of existing DeepSeek-V4.1-Flash-1017 metrics on RTX PRO 5000 72GB and H20-3e, examining request shapes, TTFT, TPOT, queues, caching, and resource usage. Updated: 2026-10-19 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/rag-agent/opensandbox-kubernetes-practice/ https://aik8s.run/en/ai-k8s/rag-agent/opensandbox-kubernetes-practice/ Mon, 19 Oct 2026 09:41:59 +0000 2026-10-19T10:07:03+00:00 Deploy OpenSandbox 1.1.1 on Kubernetes 1.30.4, validate its official Console, execution, authentication, concurrency, and cleanup, and compare architecture, isolation, snapshots, and enterprise selection with Tencent CubeSandbox Updated: 2026-10-19 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/rag-agent/agent-rl-verl-miles-overview/ https://aik8s.run/en/ai-k8s/rag-agent/agent-rl-verl-miles-overview/ Mon, 19 Oct 2026 04:27:08 +0000 2026-10-19T04:27:08+00:00 An overview of agent reinforcement learning, its frameworks and environment ecosystem, focusing on veRL Agent Loop, Miles TITO, fully asynchronous training, MoE routing replay, and Kubernetes engineering rag-agent https://aik8s.run/en/ai-k8s/rag-agent/deepseek-search-fetch-agent-cost/ https://aik8s.run/en/ai-k8s/rag-agent/deepseek-search-fetch-agent-cost/ Mon, 19 Oct 2026 03:29:57 +0000 2026-10-19T03:29:57+00:00 Compare DeepSeek, OpenAI, Claude, Gemini, Alibaba Model Studio, Brave, and Tavily tool pricing, and understand Search, Fetch, and total agent-task costs rag-agent https://aik8s.run/en/ai-k8s/practices/contiv-to-kubeovn-underlay/ https://aik8s.run/en/ai-k8s/practices/contiv-to-kubeovn-underlay/ Mon, 19 Oct 2026 03:08:40 +0000 2026-10-19T04:42:07+00:00 Replacing one node's primary CNI on an existing VLAN network: physical wiring, shared-IPAM ownership, controller isolation, NotReady diagnosis, and observed connectivity Updated: 2026-10-19 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/practices/nvidia-cluster-readiness-engine/ https://aik8s.run/en/ai-k8s/practices/nvidia-cluster-readiness-engine/ Mon, 19 Oct 2026 01:01:37 +0000 2026-10-19T01:01:37+00:00 Review NVIDIA NVCRE's public release history, purpose, and production integration, using standalone NCCL/DCGM tests on two nodes with 16 H20-3e GPUs to discuss admission, upgrade regression, troubleshooting, and Kubernetes dependencies practices https://aik8s.run/en/ai-k8s/rag-agent/firecracker-cubesandbox-enterprise-selection/ https://aik8s.run/en/ai-k8s/rag-agent/firecracker-cubesandbox-enterprise-selection/ Sun, 18 Oct 2026 14:24:21 +0000 2026-10-18T14:24:21+00:00 Compare Firecracker and CubeSandbox through their different responsibilities as a VMM and a sandbox platform, covering isolation, Kubernetes integration, templates, snapshots, network governance, and operating costs rag-agent https://aik8s.run/en/ai-k8s/rag-agent/digital-employees-enterprise-design/ https://aik8s.run/en/ai-k8s/rag-agent/digital-employees-enterprise-design/ Sun, 18 Oct 2026 13:07:05 +0000 2026-10-19T01:16:57+00:00 Compare Tencent WorkBuddy Enterprise and Managed Agents, Alibaba QoderWake and DingTalk Wukong, and Feishu Aily through Hema data queries, Meiyijia customer service, and operations reports, covering identity, execution, integration, and acceptance Updated: 2026-10-19 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/rag-agent/cubesandbox-process-snapshot-recovery/ https://aik8s.run/en/ai-k8s/rag-agent/cubesandbox-process-snapshot-recovery/ Sun, 18 Oct 2026 10:51:03 +0000 2026-10-18T11:10:31+00:00 Kill a running guest process on CubeSandbox v0.7.3, then verify rollback and memory recovery after deleting its original sandbox, with a reproducible script and Light evidence screenshots Updated: 2026-10-18 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/practices/deepseek-v41-flash-1017-day0/ https://aik8s.run/en/ai-k8s/practices/deepseek-v41-flash-1017-day0/ Sun, 18 Oct 2026 05:14:54 +0000 2026-10-18T05:14:54+00:00 Eight-GPU vLLM deployment of native mixed-precision DeepSeek 1017 weights, 36 throughput and latency rounds, tools and vision checks, 1M retrieval, and measured resource curves. practices https://aik8s.run/en/ai-k8s/rag-agent/omarchy-agent-os-overview/ https://aik8s.run/en/ai-k8s/rag-agent/omarchy-agent-os-overview/ Fri, 16 Oct 2026 04:23:57 +0000 2026-10-16T08:23:24+00:00 Starting from Omarchy 4's Linux desktop and Agent integration, compare mainstream Agent OS approaches, and actually install the desktop on KubeVirt, connect models, generate configuration, and verify persistence Updated: 2026-10-16 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/rag-agent/cubesandbox-agent-adapter-v06/ https://aik8s.run/en/ai-k8s/rag-agent/cubesandbox-agent-adapter-v06/ Fri, 16 Oct 2026 03:43:04 +0000 2026-10-16T03:43:04+00:00 Use one Adapter to connect multiple CubeSandbox clusters, practicing internal OpenClaw templates, long-task log continuation, controlled MCP, and persistent audit, with five-client real-world testing and Light screenshots rag-agent https://aik8s.run/en/ai-k8s/rag-agent/hiroute-overview/ https://aik8s.run/en/ai-k8s/rag-agent/hiroute-overview/ Thu, 15 Oct 2026 03:42:30 +0000 2026-10-15T13:57:38+00:00 An analysis of HiRoute's task routing, model routing, Jev decision-making, ContextHold, stage competence scoring, and limited failover, with a discussion of official cost-reduction experiments, plus hands-on testing of Docker integration with DSH, protocol compatibility, failover, and restart-resume behavior Updated: 2026-10-15 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/rag-agent/chatgpt-dots-overview/ https://aik8s.run/en/ai-k8s/rag-agent/chatgpt-dots-overview/ Wed, 14 Oct 2026 14:41:47 +0000 2026-10-14T14:41:47+00:00 An introduction to ChatGPT Dot's release timing, long-running tasks, memory, cloud and local execution, Codex collaboration, permission controls, and Kubernetes enterprise integration and evaluation methods, based on official OpenAI materials rag-agent https://aik8s.run/en/ai-k8s/rag-agent/agent-long-running-durable-execution/ https://aik8s.run/en/ai-k8s/rag-agent/agent-long-running-durable-execution/ Wed, 14 Oct 2026 02:10:10 +0000 2026-10-14T02:10:10+00:00 Explains how hour-long agent tasks recover after process crashes, network disconnects, and manual pauses, comparing LangGraph, Temporal, Restate, DBOS, Mastra, and session recovery, with reproducible interruption experiments and Kubernetes architecture recommendations rag-agent https://aik8s.run/en/ai-k8s/rag-agent/openclaw-enterprise-kubernetes-practice/ https://aik8s.run/en/ai-k8s/rag-agent/openclaw-enterprise-kubernetes-practice/ Tue, 13 Oct 2026 02:08:45 +0000 2026-10-13T02:36:39+00:00 Documents an isolated pilot of OCE on Kubernetes, from Ceph RBD, PostgreSQL TLS, image preparation, tenant authorization, to office-network Console and real model replies, explaining DNS, probe, and proxy authentication troubleshooting Updated: 2026-10-13 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/rag-agent/openclaw-enterprise-control-plane/ https://aik8s.run/en/ai-k8s/rag-agent/openclaw-enterprise-control-plane/ Mon, 12 Oct 2026 12:03:13 +0000 2026-10-13T02:08:45+00:00 An analysis of OpenClaw Enterprise's resource model, persistent work queue, per-Agent identity, runtime drivers, storage, and observability based on public source code, discussing the value and limitations of enterprise deployment Updated: 2026-10-13 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/practices/volcano-scheduler-enterprise-limits/ https://aik8s.run/en/ai-k8s/practices/volcano-scheduler-enterprise-limits/ Sat, 10 Oct 2026 22:01:16 +0000 2026-10-11T00:00:00+00:00 Discussing the business prerequisites for Volcano scheduling and rescheduling adoption, from resource views, task grading, cross-department preemption consensus, and pre-deployment instrumentation Updated: 2026-10-11 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/scheduling/kubernetes-scheduler-extensions/ https://aik8s.run/en/ai-k8s/scheduling/kubernetes-scheduler-extensions/ Sat, 10 Oct 2026 21:46:59 +0000 2026-10-11T00:00:00+00:00 Using GPU node pool placement as an example, this explains the Scheduling Framework extension points, Profiles, the boundaries between Extender and standalone schedulers, and validation and rollback methods Updated: 2026-10-11 (UTC+08:00) scheduling https://aik8s.run/en/ai-k8s/practices/contiv-ovs-cilium-network/ https://aik8s.run/en/ai-k8s/practices/contiv-ovs-cilium-network/ Sat, 10 Oct 2026 08:25:48 +0000 2026-10-10T08:25:48+00:00 Explains VLAN networking, Service translation, and kube-proxy's data path boundaries based on CNI configuration, OVS ports and flow tables, Cilium runtime status, and actual packet captures from an anonymized test cluster practices https://aik8s.run/en/ai-k8s/practices/large-scale-kubernetes-scheduler-optimization/ https://aik8s.run/en/ai-k8s/practices/large-scale-kubernetes-scheduler-optimization/ Sat, 10 Oct 2026 04:11:50 +0000 2026-10-10T06:23:47+00:00 Drawing on Kubernetes source code and public practices from Alibaba and ByteDance, explains serial decision-making and node parallelism, plugin and retry optimization, multi-scheduler sharding, concurrency conflicts, and results validation Updated: 2026-10-10 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/practices/large-scale-kubernetes-monitoring-tsdb/ https://aik8s.run/en/ai-k8s/practices/large-scale-kubernetes-monitoring-tsdb/ Sat, 10 Oct 2026 04:11:50 +0000 2026-10-10T04:11:50+00:00 Discusses large-scale Kubernetes monitoring from the perspectives of series cardinality, scrape discovery, write and query isolation, alerting, storage, and migration, including hands-on deployment validation of the VictoriaMetrics K8s Stack practices https://aik8s.run/en/ai-k8s/practices/vllm-sleep-model-switch-l20/ https://aik8s.run/en/ai-k8s/practices/vllm-sleep-model-switch-l20/ Thu, 08 Oct 2026 21:54:47 +0000 2026-10-10T03:11:11+00:00 Compare model process restart vs Level 1/2 sleep recovery on a single L20, verify short-term throughput after recovery, and analyze Kubernetes DRA sharing boundaries. Updated: 2026-10-10 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/rag-agent/jev-weekly-review/ https://aik8s.run/en/ai-k8s/rag-agent/jev-weekly-review/ Wed, 07 Oct 2026 06:09:34 +0000 2026-10-07T06:09:34+00:00 Continuously tracking versions, independent evaluations, community weights, and Agent applications of Jev and the System One decision model, preserving results and judgments by week rag-agent https://aik8s.run/en/ai-k8s/practices/rbg-qwen-l20-serving-resilience/ https://aik8s.run/en/ai-k8s/practices/rbg-qwen-l20-serving-resilience/ Fri, 02 Oct 2026 19:19:21 +0000 2026-10-02T19:19:21+00:00 Using Qwen3.8-27B-FP8 with L20, fixed AIBrix routing, to connect RBG scaling, rolling updates, failure recovery, and client-side TTFT and TPOT evidence. practices https://aik8s.run/en/ai-k8s/practices/mimo-v26-pro-rl-h20-first-test/ https://aik8s.run/en/ai-k8s/practices/mimo-v26-pro-rl-h20-first-test/ Sat, 26 Sep 2026 00:59:25 +0000 2026-09-26T00:59:25+00:00 Model architecture of MiMo-V2.6-Pro-RL, 8-card H20-3e vLLM deployment, text and image acceptance, fixed-length stress testing, and operational boundaries practices https://aik8s.run/en/ai-k8s/rag-agent/harbor-agent-evaluation-framework/ https://aik8s.run/en/ai-k8s/rag-agent/harbor-agent-evaluation-framework/ Wed, 23 Sep 2026 05:55:12 +0000 2026-09-23T05:55:12+00:00 Systematically introduces how Harbor unifies tasks, Agents, models, isolated environments, verifiers, and trajectories, analyzes its boundaries with Agent Harness, Inspect AI, SWE-bench, LangGraph, and Langfuse, and provides a Kubernetes production deployment solution rag-agent https://aik8s.run/en/ai-k8s/practices/mimo-v26-flash-rl-h20-day0/ https://aik8s.run/en/ai-k8s/practices/mimo-v26-flash-rl-h20-day0/ Wed, 23 Sep 2026 02:47:56 +0000 2026-09-23T02:47:56+00:00 MiMo-V2.6-Flash-RL model architecture, SGLang 8-card and vLLM 4-card deployment profiles, fixed-length stress testing, long-context boundaries, multimodal validation, and production deployment recommendations practices https://aik8s.run/en/ai-k8s/practices/qwen-image21-l20-benchmark/ https://aik8s.run/en/ai-k8s/practices/qwen-image21-l20-benchmark/ Mon, 21 Sep 2026 23:55:42 +0000 2026-09-22T08:19:06+00:00 Deploy Qwen-Image-2.1 on a single NVIDIA L20 in Kubernetes, verifying text rendering, transparent PNGs, and SGLang vs vLLM-Omni throughput, latency, GPU memory, and batch generation workbench Updated: 2026-09-22 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/rag-agent/jev-system-one-model-overview/ https://aik8s.run/en/ai-k8s/rag-agent/jev-system-one-model-overview/ Mon, 21 Sep 2026 07:39:36 +0000 2026-10-07T06:09:34+00:00 An overview of TypeSafe AI Jev's interface, confidence scores, use cases, community controversy, production architecture, and evaluation methods, explaining its boundaries with LLMs, traditional classifiers, and rule systems Updated: 2026-10-07 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/scheduling/koordinator-node-qos-runtime-hooks/ https://aik8s.run/en/ai-k8s/scheduling/koordinator-node-qos-runtime-hooks/ Mon, 21 Sep 2026 05:26:26 +0000 2026-09-21T05:26:26+00:00 Understanding how Koordlet implements CPU, memory, cache, I/O and network QoS from the control loop, container lifecycle and Linux kernel mechanisms scheduling https://aik8s.run/en/ai-k8s/scheduling/koordinator-colocation/ https://aik8s.run/en/ai-k8s/scheduling/koordinator-colocation/ Mon, 21 Sep 2026 02:54:05 +0000 2026-09-21T05:26:26+00:00 Understanding Koordinator through resource accounting, QoS, interference governance, and large-scale community practice, and how to safely advance Kubernetes online-offline workload colocation Updated: 2026-09-21 (UTC+08:00) scheduling https://aik8s.run/en/ai-k8s/practices/koordinator-webhook-multireplica-cert-race/ https://aik8s.run/en/ai-k8s/practices/koordinator-webhook-multireplica-cert-race/ Sun, 20 Sep 2026 08:35:51 +0000 2026-09-20T09:29:56+00:00 A production cluster Koordinator Webhook certificate race — its diagnosis, fix, and verification, including sanitized real Grafana metrics, shared Secret configuration, certificate checks, and production acceptance methods Updated: 2026-09-20 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/practices/kube-apiserver-load-balancing/ https://aik8s.run/en/ai-k8s/practices/kube-apiserver-load-balancing/ Fri, 18 Sep 2026 02:51:26 +0000 2026-09-18T03:26:35+00:00 Starting from connection reuse, TLS identity boundaries, rebalancing during scale changes, and policy selection, compare L4 and L7 load balancing approaches for kube-apiserver along with production validation methods Updated: 2026-09-18 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/practices/large-scale-kubernetes-optimization/ https://aik8s.run/en/ai-k8s/practices/large-scale-kubernetes-optimization/ Fri, 18 Sep 2026 00:13:31 +0000 2026-10-10T04:11:50+00:00 Drawing on public case studies from Alibaba, ByteDance, and overseas sources, this article breaks down control plane, etcd, scheduling, networking, operational risk control, and scale validation methods for Kubernetes at 10,000 nodes Updated: 2026-10-10 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/training/distributed-training-frameworks-recovery/ https://aik8s.run/en/ai-k8s/training/distributed-training-frameworks-recovery/ Thu, 17 Sep 2026 14:11:27 +0000 2026-09-17T14:32:33+00:00 Compare the parallelism capabilities, checkpoint and elasticity boundaries of mainstream multi-node multi-GPU training frameworks, and provide a Kubernetes recovery architecture after node failure, RPO/RTO, drill methods, and a production checklist Updated: 2026-09-17 (UTC+08:00) training https://aik8s.run/en/ai-k8s/practices/opentelemetry-kubernetes-components-grafana/ https://aik8s.run/en/ai-k8s/practices/opentelemetry-kubernetes-components-grafana/ Wed, 16 Sep 2026 11:25:45 +0000 2026-09-16T14:55:03+00:00 Use the OpenTelemetry Collector to aggregate Kubernetes control plane, DNS, and object metrics, integrate with Prometheus, Tempo, and Grafana, and test metric cardinality governance and Span troubleshooting in practice Updated: 2026-09-16 (UTC+08:00) practices https://aik8s.run/en/ai-k8s/opentelemetry-kubernetes-fundamentals/ https://aik8s.run/en/ai-k8s/opentelemetry-kubernetes-fundamentals/ Wed, 16 Sep 2026 06:48:09 +0000 2026-09-16T11:25:45+00:00 Explaining OpenTelemetry's Trace, Span, Metric, Log, Context, Resource, OTLP, and Collector using a single Kubernetes request, plus a five-minute experiment that requires no observability backend Updated: 2026-09-16 (UTC+08:00) ai-k8s https://aik8s.run/en/ai-k8s/practices/opentelemetry-kubernetes-practice/ https://aik8s.run/en/ai-k8s/practices/opentelemetry-kubernetes-practice/ Wed, 16 Sep 2026 06:20:28 +0000 2026-09-16T06:20:28+00:00 Deploy an OpenTelemetry Collector Gateway on a Kubernetes 1.30 cluster, verify Trace, Metric, Kubernetes metadata, Prometheus ServiceMonitor, and Langfuse OTLP ingestion with FastAPI, and provide production deployment recommendations practices https://aik8s.run/en/ai-k8s/rag-agent/langchain-langgraph-langfuse-kubernetes-demo/ https://aik8s.run/en/ai-k8s/rag-agent/langchain-langgraph-langfuse-kubernetes-demo/ Wed, 16 Sep 2026 04:01:59 +0000 2026-09-16T04:01:59+00:00 Use a runnable demo to explain the division of responsibilities among LangChain, LangGraph, and Langfuse, and verify conditional routing, tool calls, slow requests, and error tracing in Kubernetes rag-agent https://aik8s.run/en/ai-k8s/rag-agent/agent-evaluation-overview/ https://aik8s.run/en/ai-k8s/rag-agent/agent-evaluation-overview/ Tue, 15 Sep 2026 02:48:11 +0000 2026-09-15T02:48:11+00:00 From task success, tool trajectories, failure recovery, security governance, cost, and human intervention, establish a reproducible Agent evaluation and scoring system, and explain how Pi, OpenClaw, DeepSeek Harness, and Hermes Agent should be compared rag-agent https://aik8s.run/en/ai-k8s/cluster/kubevirt-guest-kubernetes/ https://aik8s.run/en/ai-k8s/cluster/kubevirt-guest-kubernetes/ Mon, 14 Sep 2026 03:41:03 +0000 2026-09-14T03:41:03+00:00 Analyzes the two-layer control plane, scheduling, failure domains, networking, storage, lifecycle, observability, and GPU scenarios of hosting tenant Kubernetes clusters on Kubernetes with KubeVirt, and provides a production reference architecture and acceptance checklist cluster https://aik8s.run/en/ai-k8s/rag-agent/langfuse-langgraph-overview/ https://aik8s.run/en/ai-k8s/rag-agent/langfuse-langgraph-overview/ Mon, 14 Sep 2026 01:33:42 +0000 2026-09-14T01:33:42+00:00 A systematic introduction to LangGraph's state graphs, persistence, and human approval, as well as Langfuse's Trace, Prompt, Dataset, Evaluation, and Kubernetes self-hosted architecture rag-agent https://aik8s.run/en/ai-k8s/rag-agent/grok-bot-overview/ https://aik8s.run/en/ai-k8s/rag-agent/grok-bot-overview/ Mon, 14 Sep 2026 01:33:42 +0000 2026-09-14T01:33:42+00:00 A systematic introduction to the differences between Grok Bot, Grok, @grok, and the xAI API, with analysis of its persistent cloud computer, Skills, Routines, multi-Bot collaboration, approvals, security boundaries, and Kubernetes enterprise integration rag-agent https://aik8s.run/en/ai-k8s/inference/tokenhub-overview/ https://aik8s.run/en/ai-k8s/inference/tokenhub-overview/ Mon, 14 Sep 2026 01:33:42 +0000 2026-09-14T01:33:42+00:00 Introduces TokenHub.com's OpenAI, Anthropic, and Gemini compatible interfaces, multi-model catalog, unified billing, Agent tool integration, and the security and observability boundaries for Kubernetes production use inference https://aik8s.run/en/ai-k8s/inference/openrouter-overview/ https://aik8s.run/en/ai-k8s/inference/openrouter-overview/ Mon, 14 Sep 2026 01:09:00 +0000 2026-09-14T01:09:00+00:00 Introduces OpenRouter's product positioning, request path, model and Provider routing, Fallback, Prompt Cache, costs, privacy, observability, and Kubernetes access methods inference https://aik8s.run/en/ai-k8s/rag-agent/harnessrouter-overview/ https://aik8s.run/en/ai-k8s/rag-agent/harnessrouter-overview/ Sun, 13 Sep 2026 15:10:17 +0000 2026-10-16T13:38:22+00:00 Explains HarnessRouter, UHP, Cloud and Community Edition, describing the Agent Harness unified interface, task lifecycle, security boundaries, cost, and its relationship with DSH and LLM Gateway Updated: 2026-10-16 (UTC+08:00) rag-agent https://aik8s.run/en/ai-k8s/inference/llm-api-relay-gateway-overview/ https://aik8s.run/en/ai-k8s/inference/llm-api-relay-gateway-overview/ Sun, 13 Sep 2026 15:10:17 +0000 2026-09-13T15:10:17+00:00 A systematic review of model aggregation platforms, self-hosted LLM Gateways, enterprise AI Gateways, inference routing and semantic routing—covering principles, representative products, security risks, and selection methods inference