RTX 4090
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Apr. 3, 2026 / Featured
What Hardware for Gemma 4 26B and 31B LLM Local Use
The new Gemma 4 models from Google DeepMind have landed, and for local LLM users this is one of the more practical releases in a while. The lineup gives us two interesting mid-size targets: a 26B MoE model (A4B) and a 31B dense model. Both support up to 256K context, tool calling, and personal agent-style...
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Nov. 3, 2025 / Hardware Insights
Inside PewDiePie’s $41,000 AI PC: 424GB of VRAM for Local LLMs
When one of YouTube’s biggest creators decides to build a personal AI supercomputer, the local LLM scene takes notice. PewDiePie’s journey into AI hardware has produced a multi-GPU, 424GB VRAM workstation that many enthusiasts dream of. While his budget is far beyond the average builder, his component choices and setup offer a valuable blueprint for...
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Oct. 17, 2025 / LLM Benchmarks
RTX 4090 LLM Benchmarks: Performance Across 4K – 131K Context Sizes
I tested the RTX 4090 with five quantized models to measure real-world inference performance for local LLM workloads. This is the second article in my GPU benchmark series, following my recent RTX 5090 tests. I ran these benchmarks to provide concrete performance data across different model sizes and context lengths using llama.cpp. Testing Environment My...
