This post walks you through deploying MoviePilot v2 with Docker, highlighting key configuration changes from v1 (now UI‑driven), listing compatible download clients and media servers, and providing a minimal docker-compose example. It also covers nginx reverse proxy, advanced env tuning, theming, rules, and wordlists so you can quickly build a fully automated viewing setup.

This post benchmarks the new German provider ComputeBox: a 3 vCPU / 6 GB RAM VPS with AMD EPYC 9655, 50 GB NVMe, and 2 TB traffic on 10 Gbps for only €4.45/month. Backed by a Tier 3, ISO 27001-certified, green-powered datacenter and a custom control panel with instant provisioning. Includes detailed CPU, disk, and network benchmarks plus account signup tips and overselling caveats.

Hands-on benchmark of Leaseweb’s Intel E-2388G server: Rocket Lake-based with strong single-core performance and integrated graphics. Covers configuration, lscpu output, bandwidth and connectivity, plus real-world benchmarks (YABS, Geekbench 5/6, PerformanceTest, Fusion benchmark). Also touches on how to obtain it via direct purchase or reseller and why it suits PT seeding and high-frequency workloads.

ImageFlow is a lightweight, single‑user / private image hosting solution with API key auth, automatic AVIF/WebP conversion, and orientation‑aware delivery. It offers drag‑and‑drop uploads, dark mode, hot reload, and local or S3-compatible storage, and can be deployed instantly via Docker or standalone binaries.

This article benchmarks the total monthly cost of 1 TB storage plus 1 TB egress across major S3‑compatible object storage providers including Hetzner, DigitalOcean, Wasabi, Scaleway, Vultr, Backblaze B2, and Cloudflare R2. It breaks down what’s included, overage pricing, tax/region differences, and highlights cost‑effectiveness and selection trade‑offs to support quick, informed decisions.

This guide walks through deploying Vertex with Docker to build an automated PT environment for following shows and seeding: from one‑line installation, first login and password retrieval to core configuration pointers and practical rule snippets. It also includes suggestions on hardware and auto‑delete parameters, helping you seed aggressively yet safely on limited resources.

Hands-on benchmark of Nube.sh’s San Jose China-optimized route instance based on AMD EPYC 7663, with a 1C/1G configuration and 10G NVMe storage billed purely by outbound traffic. Includes test IP, detailed CPU info, Geekbench 5, Yabs, Speedtest, Fusion Monster Go script, routing and latency results. A practical reference for low-cost relay and lightweight service deployment.

Hands-on benchmark of Evoxt’s Tokyo VPS node powered by AMD EPYC Genoa, NVMe storage, and KVM virtualization. Covers CPU, disk I/O, and global network performance for the 1 vCPU / 2 GB / $5.99 plan with 1 Gbps / 1 TB bandwidth, plus streaming unlock tests and detailed IP reputation and routing analysis.

This post walks through deploying a self-hosted RustDesk relay and rendezvous server using Docker Compose. It explains why RustDesk’s open source, self-hosted design is ideal for privacy-conscious users, how to choose cost‑effective high‑bandwidth lightweight VPS instances, and provides a ready‑to‑use compose file, deployment steps, and security tips against scam misuse.

This post breaks down Nube.sh’s elastic cloud discount strategy, where discounts shift from 65% → 55% → 45% based on resource usage and renewals. It includes LG test IPs for multiple regions, real-order screenshots, and detailed benchmarks for Hong Kong, Tokyo, Singapore, and San Jose nodes. HK 1c1g starts at just $0.8/month, with one-way traffic billing at $0.0009/GB, hourly billing, IPv6 support, and a reminder that heavy users must watch bandwidth costs.

This guide walks you through connecting to Volcengine’s full-featured DeepSeek R1 API from scratch. It covers real-name registration, enabling models, creating API keys and inference endpoints, and calling them via Cherry Studio and ChatBox. You’ll also learn how to enable web search and translation with DeepSeek-V3, leveraging generous free quotas and high RPM/TPM limits.

This post walks through deploying the full DeepSeek-r1-671B model on Kubernetes with SGLang for production-grade, multi-node GPU inference. It explains how to orchestrate elastic multi-GPU workloads using LeaderWorkerSet and Volcano, optimize performance via RadixAttention and KV cache reuse, integrate Prometheus/Grafana for SLA-grade monitoring, and contrasts this K8s+SGLang stack with Ollama. A step-by-step environment and YAML guide is included.