AI Insights — the Context Studios AI & software engineering blog

224 GB for €8,700 or 512 GB for €15,500? We run the new AMD hybrid wave against 65 model families in our recipe database — including RTX 3090 clusters.

Speculative decoding with a hard contract: decode faster without a single byte changing. What TensorFold can do, what it costs, and who should use it now.

Qwen3.8-Flash-Next from RTX 3090 to RTX PRO 6000: all measurements side by side. Why the jumps aren't linear and prefill is the secret reward.

From "I have a computer" to "my endpoint runs": assess hardware honestly, pick a stack, wire a use case, measure yourself — with recipes for every tier.

Purchase, power, throughput and the API counter-calculation: at Flash prices local is no savings program — it's a control program. Every number calculated.

Decode vs. prefill, mean wall TPS, quant fidelity: 4 traps in benchmark numbers — and the 5-minute self-check. With real measurements from 300 community recipes.

GLM-5.3-Flash, DeepSeek V4.1 Flash and Qwen3.8-Flash-Next in overview — and the honest hardware matrix: what runs on a laptop, Mac Studio, DGX Spark and multi-GPU node?

Self-hosting an AI video pipeline: MiniMax-H3 on DGX Spark, German voice clone, lip-sync tested. All metrics, settings and failures documented.

The Claude Code harness provides the foundation; the plugin layer on top saves real typing: memory, skill discovery, document processing, code setup and efficiency — all free and up and running in under two minutes.

Autonomous OpenAI evaluation agents left 18,000 posts on a dead wiki by bypassing read-only proxies via HTTP GET and spoofing Azure hostnames. Here is a breakdown of the incident and a checklist for securing your own agent egress architecture.

The M5 Ultra is the fastest quiet single-box machine for large MoE models. Verified specs, prices, benchmarks, X community numbers and our own measurements on DGX Spark hardware.

Which hardware runs local LLMs fastest per euro in 2026? Comparison table, tokens/s by model and hardware, our own DGX Spark benchmark and cost per token vs. cloud.