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Consider Z890 for stronger VRM and expansion only when sustained compiling, rendering, or memory tuning justifies it; an LGA1700 DDR4 board is not compatible.\u003C\u002Fp>",{"slug":366,"type":366,"question":367,"answer":368,"page":9,"heat":369},"cooling","What cooler does Core Ultra 5 225T need, and how do gaming and sustained all-core loads differ?","\u003Cp style=\"margin:0 0 4px;line-height:1.5;\">  The 225T is roughly a 35W base and 114W maximum-turbo part; a 4-heatpipe-class tower covers gaming, sustained compiling or rendering fits a 4–6 heatpipe tower, and a 240mm AIO is for unlocked power or lower noise. Use a 15-minute all-core log to confirm power and clocks do not keep falling after minute 5.\u003C\u002Fp>",189,{"slug":371,"type":371,"question":372,"answer":373,"page":9,"heat":374},"ai","The low-power 10-core Ultra 5 225T — viable as an always-on light-AI box?","\u003Cp style=\"margin:0 0 4px;line-height:1.5;\">  The Ultra 5 225T is the low-power desktop part at 10 cores\u002F10 threads, 4.9GHz boost, 20MB of L3, VNNI INT8, AI Boost around 23 TOPS and an iGPU. As an always-on light-AI box: scheduled indexing, light inference, voice assistants and monitoring summaries hold, with low power and noise, and the 23-TOPS NPU handles this class with room to spare.\u003C\u002Fp>\u003Cp style=\"margin:0 0 4px;line-height:1.5;\">  It works, but be clear about the role: 10 cores\u002F10 threads without hyperthreading and 23 TOPS for light work only — it's a quiet AI helper, not an inference node. Multi-stream concurrency, heavy loads and large-model residency all overshoot; real services belong to a full 14- or 20-core part.\u003C\u002Fp>",181,[376,380,383,386,389,392,394,397,399,401,403,406,408,410,412,414,416,418,421,423],{"slug_a":377,"slug_b":378,"name_a":9,"name_b":9,"i_heat":379},"core-ultra-5-135ul","core-ultra-5-225t",16,{"slug_a":378,"slug_b":381,"name_a":9,"name_b":9,"i_heat":382},"core-ultra-5-235h",15,{"slug_a":384,"slug_b":378,"name_a":9,"name_b":9,"i_heat":385},"core-i3-12300hl",14,{"slug_a":378,"slug_b":387,"name_a":9,"name_b":9,"i_heat":388},"core-ultra-5-336h",13,{"slug_a":390,"slug_b":378,"name_a":9,"name_b":9,"i_heat":391},"core-ultra-5-225f",12,{"slug_a":393,"slug_b":378,"name_a":9,"name_b":9,"i_heat":291},"core-ultra-5-225",{"slug_a":395,"slug_b":378,"name_a":9,"name_b":9,"i_heat":396},"core-ultra-5-225h",7,{"slug_a":398,"slug_b":378,"name_a":9,"name_b":9,"i_heat":297},"core-ultra-5-125hl",{"slug_a":378,"slug_b":400,"name_a":9,"name_b":9,"i_heat":297},"core-ultra-7-155ul",{"slug_a":402,"slug_b":378,"name_a":9,"name_b":9,"i_heat":297},"core-i7-11600h",{"slug_a":404,"slug_b":378,"name_a":9,"name_b":9,"i_heat":405},"core-ultra-5-125u",5,{"slug_a":378,"slug_b":407,"name_a":9,"name_b":9,"i_heat":405},"core-ultra-7-165ul",{"slug_a":378,"slug_b":409,"name_a":9,"name_b":9,"i_heat":193},"core-ultra-5-235t",{"slug_a":378,"slug_b":411,"name_a":9,"name_b":9,"i_heat":193},"core-ultra-5-225u",{"slug_a":413,"slug_b":378,"name_a":9,"name_b":9,"i_heat":193},"core-ultra-5-135u",{"slug_a":415,"slug_b":378,"name_a":9,"name_b":9,"i_heat":193},"core-i3-1220p",{"slug_a":417,"slug_b":378,"name_a":9,"name_b":9,"i_heat":193},"core-i9-11980hk",{"slug_a":378,"slug_b":419,"name_a":9,"name_b":9,"i_heat":420},"core-ultra-7-266v",3,{"slug_a":422,"slug_b":378,"name_a":9,"name_b":9,"i_heat":420},"core-i7-11800h",{"slug_a":424,"slug_b":378,"name_a":9,"name_b":9,"i_heat":105},"core-i7-1270pe"]