Open Standards AI • CNCF Kubernetes • Knative Serverless • vLLM & KServe

Open-Standards AI Architecture on Linux & Kubernetes.

Architecting vendor-neutral, production-grade AI systems with open standards: CNCF Kubernetes, Knative scale-to-zero serverless, Open Inference Protocols, and local Linux runtimes. Full how-to solutioning with enterprise advisory.

linuxworks-ai-engine --framework=kubernetes-vllm
Open-Standard Kubernetes vLLM Model Serving Deployment

Deploy autoscaling, high-throughput LLMs in Kubernetes using standard CNCF manifests, PagedAttention continuous batching, and Horizontal Pod Autoscalers.

Target Specification:
CNCF K8s 1.30+ • Open Inference Protocol (v2) • HPA v2
Open Deployment Manifest & Script
# vllm-k8s-deployment.yaml (CNCF Standard Manifest)
apiVersion: apps/v1
kind: Deployment
metadata:
  name: vllm-serving
  namespace: ai-workloads
spec:
  replicas: 2
  selector:
    matchLabels:
      app: vllm-inference
  template:
    metadata:
      labels:
        app: vllm-inference
    spec:
      containers:
      - name: vllm
        image: vllm/vllm-openai:latest
        args: [
          "--model", "meta-llama/Llama-3.1-70B-Instruct",
          "--tensor-parallel-size", "2",
          "--max-model-len", "8192",
          "--gpu-memory-utilization", "0.90"
        ]
        resources:
          limits:
            nvidia.com/gpu: "2"
            memory: 64Gi
          requests:
            nvidia.com/gpu: "2"
            memory: 32Gi
        ports:
        - containerPort: 8000
          name: http

Open-Standards AI Solutions Ecosystem

Architecting high-performance, vendor-lock-in-free AI systems using open protocols, open frameworks, and modern Linux kernels.

CNCF Kubernetes AI

Kubernetes AI & GPU Clustering

Production Kubernetes GPU orchestration with KubeRay, KServe, and vLLM. Features Multi-Instance GPU (MIG) slicing, GPU time-sharing, and dynamic worker pool auto-scaling.

  • KubeRay distributed training operators
  • KServe Open Inference Protocol (OIP v2)
  • Stateless Talos & Flatcar Linux worker nodes
Open Serverless

Knative Scale-to-Zero Serverless

Open-standard serverless AI inference using Knative Serving and CloudEvents. Automatically scale GPU model pods to zero when idle, drastically reducing infrastructure compute costs.

  • Knative Serving autoscaling & cold-start tuning
  • CloudEvents standard asynchronous eventing
  • OpenFaaS & containerized inference workers
Desktop Solutions

Linux Desktop AI Workstations

Local on-device inference using open runtimes (Ollama, llama.cpp, ONNX Runtime). Private coding copilots, local embedding models, and audio transcription without telemetry.

  • Wayland & NPU open driver integration
  • llama.cpp AVX-512 & Vulkan compute
  • Ollama systemd background service tuning
Containers & RAG

Containerized AI & Vector Stores

Turnkey Docker Compose and rootless Podman AI suites. Complete open stacks combining OpenWebUI, Milvus / Qdrant vector databases, SearXNG private search, and local RAG pipelines.

  • Docker Compose multi-service AI stacks
  • Rootless Podman for enterprise security
  • Open standard embeddings & Qdrant / Milvus

Open Standards AI Architecture Consultation

Get bespoke engineering guidance for Kubernetes GPU clusters, Knative scale-to-zero serverless, and private self-hosted Linux AI deployments.

Consultation Desk: info@linuxworks.org