Independent AI Infrastructure Benchmarks & Production Engineering
Tested configurations, cost analysis and deployment guidance for engineers running AI in production.
Systems engineering experience · Open-source contributions · Reproducible benchmark methodology
Estimate your GPU inference cost
Cost per 1M tokens and monthly cost across RunPod, DigitalOcean and Lambda — before you spend a dollar.
Latest Benchmarks & Deployments

GPU Cloud Comparison 2026: RunPod vs DigitalOcean vs Lambda
Independent comparison of GPU cloud pricing and inference throughput across RunPod, DigitalOcean and Lambda — cost per 1M tokens, VRAM, and which provider fits which workload.

Accelerating Local LLM Inference with Multi-Token Prediction (MTP) and ik_llama.cpp
Discover how to implement Multi-token prediction (MTP) using ik_llama.cpp on NVIDIA RTX A6000 hardware to achieve a 20% speed boost over standard autoregressive generation.

Deploying DFlash Speculative Decoding with Gemma 4 26B A4B on vLLM
Deploy DFlash speculative decoding with Google's Gemma 4 26B A4B on vLLM for a 3.4x inference speedup—learn the full setup, benchmark results, and architecture trade-offs.
Get the Weekly AI Infrastructure Brief
One benchmark, one cost change, one production lesson — every week. No spam, unsubscribe anytime.
All Articles

AI-Powered Cyber Attacks: How Frontier Models Are Rewiring the Security Landscape
AI-powered cyber attacks have crossed the zero-day line: Google confirms first AI-developed exploit in wild, while Anthropic's Claude Mythos leads defenses at 83.1 on CyberGym. See how supply chain worms, vibe coders, and distraction hacking are reshaping security.

Huashu Design vs Claude Design: The Open-Source Alternative Saving Developers Thousands
Discover how Huashu Design replicates Claude Design using HTML-native generation, saving up to 90% in API costs while supporting slide decks, motion design, and MP4 exports.

Accelerating Local LLM Inference with Multi-Token Prediction (MTP) and ik_llama.cpp
Discover how to implement Multi-token prediction (MTP) using ik_llama.cpp on NVIDIA RTX A6000 hardware to achieve a 20% speed boost over standard autoregressive generation.

Deploying DFlash Speculative Decoding with Gemma 4 26B A4B on vLLM
Deploy DFlash speculative decoding with Google's Gemma 4 26B A4B on vLLM for a 3.4x inference speedup—learn the full setup, benchmark results, and architecture trade-offs.

Local AI GPU Performance Comparison: Intel Arc Pro B70 vs RTX PRO 4000 Blackwell vs AMD Radeon AI R9 7700
Local AI GPU performance comparison across Intel Arc Pro B70, NVIDIA RTX PRO 4000 Blackwell & AMD R9 7700. VRAM capacity, quantization benchmarks & multi-GPU scaling insights for local inference workloads.

Zero-Cost AI: Build Income-Generating Services with Free AI Tools
Discover how to use free AI tools like Gemini, Groq, GitHub Models, and more to build income-generating services without credit cards or subscriptions.

Turn Vibe Coding into Structured AI Development with BMAD v6
BMAD v6 turns chaotic vibe coding into a structured, agentic workflow. QuickFlow, marketplace, and multilingual support make AI dev faster and safer.

Master Agent Teams in Opus 4.6: A Developer’s Playbook
Build, manage, and troubleshoot Agent Teams in Opus 4.6 and Cloud Code—step-by-step guide, best practices, and real-world examples for developers.

witr: The One-Stop Tool That Uncovers Why Any Process or Port Is Running
Discover witr, the lightweight CLI that explains why any process, service, or port is running on Linux, with ancestry, start time, warnings, and JSON output.

GLM-5: The Open-Source AI Model That Brings 744 Billion Parameters to Your Workflow
Discover how GLM-5’s 744B parameter, 40B active architecture, and sparse attention unlock coding, agentic, and document generation. Compare benchmarks, learn deployment steps, and evaluate pricing.
Sponsors
Sponsored placements. These are paid or affiliate placements. We keep editorial verdicts independent — see our affiliate disclosure.


