troubleshooting Docker •
Fix Docker Container Network Timeout in Production
Step-by-step guide to diagnose and fix intermittent MTU mismatches and DNS timeouts in Docker bridge networks.
Read Deep Dive →The Labs
In-depth technical analysis, architecture blueprints, and deployment guides for private AI infrastructure.
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• Docker
Fix Docker Container Network Timeout in Production
Step-by-step guide to diagnose and fix intermittent MTU mismatches and DNS timeouts in Docker bridge networks.
Read Article → • Qdrant
How to Secure Qdrant Vector Database Behind OPNsense Firewall
Architecture blueprint for hardening private Qdrant vector database instances with VLAN isolation and mTLS.
Read Article → • vLLM
vLLM vs Ollama: Inference Latency Benchmark
Benchmarking token generation speeds and VRAM efficiency between vLLM and Ollama on RTX 4090 and A100 GPUs.
Read Article → • AMD
AMD ROCm GPU Passthrough under Docker with Linux cgroups v2
Step-by-step technical guide to exposing AMD GPU devices (/dev/kfd and /dev/dri) to Docker containers using ROCm.
Read Article → • Security
Multi-Tenant Container GPU Security and Hardening
Hardening containerized GPU access, preventing VRAM leaks, restricting privileged access, and securing host CUDA drivers.
Read Article → • Docker
Optimizing CUDA Docker Images: Shrinking 15GB to 3GB
Multi-stage builds, runtime vs devel image selection, wheel caching, and slimming PyTorch CUDA container images.
Read Article → • Docker
Multi-GPU Orchestration with Docker Compose v2
Practical guide for fine-grained GPU resource reservations using deploy.resources in Docker Compose v2.
Read Article → • Docker
Fixing PyTorch Docker Bus Errors and Shared Memory Limits
Diagnosing and resolving SIGBUS crashes and VRAM OOM errors caused by POSIX shared memory (/dev/shm) limits in Docker.
Read Article → • NVIDIA
Container GPU Observability with NVIDIA DCGM Exporter & Prometheus
Monitoring GPU VRAM, utilization, wattage, and ECC errors per Docker container using DCGM Exporter and Prometheus.
Read Article → • NVIDIA
Profiling CUDA Applications in Docker with NVIDIA Nsight Systems
Step-by-step guide to resolving profiling permissions, capabilities, and tracing CUDA kernels in Docker using Nsight Systems.
Read Article → • Docker
Migrating to NVIDIA CDI with Docker Engine 25+
Technical guide for migrating from legacy nvidia-docker2 to OCI Container Device Interface (CDI) on Docker 25+.
Read Article → • NVIDIA
NVIDIA Multi-Instance GPU (MIG) Partitioning with Docker
Hardware partitioning with NVIDIA MIG and assigning isolated GPU instances to Docker containers on A100/H100.
Read Article → • NVIDIA
GPU Multiplexing with NVIDIA MPS in Docker Containers
Maximizing GPU utilization and throughput for lightweight inference containers using NVIDIA Multi-Process Service (MPS).
Read Article → • Make.com
Make.com vs n8n for AI Infrastructure Automation
An engineering comparison of Make.com and n8n for automating private AI workflows, RAG ingestion, and infrastructure alerting.
Read Article → • RunPod
RunPod vs Paperspace for Private LLM Workloads
An engineering comparison of RunPod and Paperspace for renting GPUs. Evaluate persistent inference workloads, storage, and networking limits.
Read Article → • Vultr
Vultr vs DigitalOcean for Self-Hosted AI Infrastructure
An infrastructure engineering comparison of Vultr and DigitalOcean for self-hosting private AI pipelines, RAG, and managed Kubernetes.
Read Article → • VPS
Best VPS Providers for Self-Hosted AI Workloads (2026)
Technical comparison of VPS and GPU cloud providers for self-hosted AI. Evaluated for VRAM, bandwidth, egress cost, and deployment constraints.
Read Article → • Ollama
Deploying Ollama with Docker Compose: A Production Guide
The fastest way to run local LLMs. Step-by-step guide to deploying Ollama and Open WebUI with Docker Compose and NVIDIA Container Toolkit.
Read Article → • Cloudflare
Fix: Cloudflare Tunnel 502 Bad Gateway (Open WebUI)
Resolving 502 errors when accessing Open WebUI through Cloudflare Tunnels. Fixes for container networking and No-TLS verification.
Read Article → • Docker
Fix: Docker NVIDIA Runtime Not Found
Resolving 'could not select device driver with capabilities: gpu'. Root cause analysis and fix for the NVIDIA Container Toolkit on Docker.
Read Article → • Ollama
Fix: Ollama GPU Not Detected in Docker
Resolving cases where Ollama runs on CPU despite having a valid GPU and NVIDIA Container Toolkit. Root cause and fix for environment variables and VRAM.
Read Article → • CUDA
Fix: OOM Errors during Quantization
Resolving CUDA memory fragmentation and Out Of Memory (OOM) errors during LLM quantization processes like AWQ or GPTQ.
Read Article → • Open WebUI
Fix: Open WebUI Connection Refused (Ollama Not Found)
Resolving connectivity issues between Open WebUI and the Ollama backend. Fixes for 'Ollama Not Found' and networking errors in Docker.
Read Article → • OPNsense
Fix: OPNsense Blocking Docker VLAN Traffic
Resolving connectivity issues in hardened AI networks. How to fix 'Default Deny' rules blocking internal Docker API traffic.
Read Article → • vLLM
Fix: vLLM CUDA Out of Memory (OOM)
Resolving VRAM allocation errors in vLLM. How to tune the GPU memory utilization and swap space for production inference.
Read Article → • Llama 3
Llama 3 70B Requirements: Hardware & VRAM Guide
A complete hardware sizing guide for deploying Meta's Llama 3 70B model, including quantization levels and VRAM calculations.
Read Article → • vLLM
NVIDIA Triton vs vLLM: Choosing an Inference Engine
A technical comparison of NVIDIA Triton Inference Server and vLLM for deploying LLMs in production environments.
Read Article → • OPNsense
How to Secure a Private AI Server with OPNsense
Harden an AI inference server with OPNsense VLANs. Prevent data exfiltration and isolate Docker workloads with strict firewall rules.
Read Article → • Sovereign AI
What Is Sovereign AI Infrastructure? A Practical Guide for Engineering Teams
A technical guide to sovereign AI infrastructure. Learn why engineering teams are moving from public APIs to self-hosted LLMs using Docker, vLLM, and OPNsense.
Read Article → Troubleshooting
Infrastructure Reviews
Implementation Notes
NVIDIA Triton vs vLLM routing
When running continuous batching, vLLM drastically outperforms Triton on 4090s.
May 1, 2026Llama 3 70B Requirements
A minimum of 48GB VRAM is required for 4-bit quantization with reasonable context windows.
April 28, 2026