Recipes · 11 configurations
Machines ready to copy For every budget, a model, the hardware, the engine and the command to run. Memory, speed and price use the same formulas as the rest of the site: estimates, not measurements.
Compact €2,300
A big MoE in a quiet mini-PC 128 GB of unified memory for €2,300: ideal for MoE models, which stay fast despite modest bandwidth.
Model Qwen3 30B-A3BHardware Mini-PC Ryzen AI Max+ 395 128 GBPrecision Q8_0Engine llama.cppContext 16k
Memory 36 / 109 GB
Estimated speed ~39 tok/s
Power 140 W
Memory use 33 %
llama-server -hf unsloth/Qwen3-30B-A3B-GGUF:Q8_0 -ngl 99 -c 16384Copy
Compact €4,000
gpt-oss-120b in a desktop box OpenAI’s open model fits entirely in the DGX Spark, with room left for a long context.
Model gpt-oss-120bHardware NVIDIA DGX Spark 128 GBPrecision Q4_K_MEngine OllamaContext 32k
Memory 76 / 109 GB
Estimated speed ~47 tok/s
Power 240 W
Memory use 70 %
ollama run gpt-oss:120bCopy
Compact €4,400
Llama 70B on a Mac Studio Silent, efficient and ready to use. Slower than a pair of GPUs, but nothing to assemble.
Model Llama 3.3 70BHardware Mac Studio M4 Max 128 GBPrecision Q4_K_MEngine OllamaContext 16k
Memory 50 / 96 GB
Estimated speed ~7.1 tok/s
Power 150 W
Memory use 52 %
ollama run llama3.3:70bCopy
Compact €11,500
Qwen3 235B on a single Mac 512 GB of unified memory: the only desktop machine that loads a model this size without a server.
Model Qwen3 235B-A22BHardware Mac Studio M3 Ultra 512 GBPrecision Q4_K_MEngine OllamaContext 32k
Memory 154 / 384 GB
Estimated speed ~34 tok/s
Power 270 W
Memory use 40 %
ollama run qwen3:235bCopy