GitSeonjeap
English

Sign in

Reading needs no sign-in. Sign in to write posts or comments, or to recommend and report, in the community.

By signing in you agree to the notices below. Community rules · Privacy notice

Keep browsing without signing in

Blog

Written versions of our YouTube videos, so you can check the numbers and tables at your own pace.

Mac Studio M5 Max 128GB vs M5 Ultra 96GB: Which for Local AI?

Mac Studio M5 Max 128GB vs M5 Ultra 96GB for local AI: Ultra for speed at 27B and under, Max for 122B-class MoE. Measured and estimated numbers kept apart.

Mac StudioMac Studio M5M5 MaxM5 UltraMac Studio 128GBMac Studio 96GBlocal LLMlocal AIMLXQwenDGX SparkMac Studio for AI

Mac mini M6 32GB Server vs M5 Pro 24GB: 5 Use Cases (M6 Measured)

Mac mini M6 32GB vs M5 Pro 24GB as a server in 5 cases: website, home server, small AI, multi-user AI, big models. M6 measured, M5 Pro from public data.

Mac mini M6Mac mini serverM5 ProMac mini M6 serverhome serverlocal LLMlocal AIMLXllama.cppOllamaself-hostingMac mini M6 vs M5 Pro

Free ChatGPT-Class Local AI on a 24GB GPU? RTX 3090, 5090, Mac mini

Can one 24GB GPU (RTX 3090, 4-bit) get into the same league as free ChatGPT? We ran the same questions on a 3090, 5090 and Mac mini M6 and compared memory, speed and quality.

free ChatGPT alternativeChatGPT free planlocal AIlocal LLMQwenQwen3.8RTX 3090RTX 5090Mac mini M624GB GPUquantizationllama.cpp

Mac mini M6 16GB vs 24GB vs 32GB: Which to Buy? 8 Uses Tested

Which Mac mini M6 to buy, 16GB, 24GB or 32GB? We measured 8 uses on a 32GB unit. 24GB and 16GB are simulated, local AI is estimated. The split is model size.

Mac mini M6Mac mini 16GBMac mini 24GBMac mini 32GBMac mini memoryMac mini buying guideMac mini RAMlocal AIlocal LLMmemory pressureMac mini priceQwen

DGX Spark Tested: 128GB Boxes vs Mac mini M6 (as of Sept 2026)

We rented a DGX Spark and ran the same models as a Mac mini M6 32GB. One user: Mac mini (64 vs 40 tokens/s). 16 users: DGX Spark (319 vs 166). As of 2026-09.

DGX SparkDGX Spark benchmark128GB local AIRyzen AI MaxRTX SparkMac Studio M5 MaxMac mini M6unified memorylocal LLMgpt-oss-120bvLLMconcurrent users

Strata on Mac mini 32GB: 10.3-22.1 Tokens/s (Thinking On) vs 27B

Strata on a Mac mini M6 32GB runs Qwen3.8 Flash-Next Q2_0 (66.4GB) at 10.3-22.1 tokens/s (thinking-on format). No accuracy difference confirmed vs 27B 4-bit (150 questions, 52 coding problems).

StrataStrata enginestrata-mlxMac mini M6Mac mini 32GBQwen3.8Flash-NextQwen 27Blocal LLMKMMLUllama.cpp2-bit quantization

Qwen3.8 27B 4-bit on Mac mini M6 32GB: 49.7 Tokens/s JSON, 8.8 Korean

Qwen3.8 27B 4-bit on a Mac mini M6 32GB: the fastest combo hits 49.7 tokens/s on JSON but only 8.8 on Korean, and the fastest file loses the most quality (vs UD-Q6_K).

Mac mini M6Mac mini 32GBQwen3.8Qwen 27B4-bit quantizationspeculative decodingDFlash2MTPllama.cppMLXlocal LLMKorean tokens per second