Vetted Consumer

Our MoE-era piece ended in a buying rule: capacity first, bandwidth second. In practice, that points most people at one memory tier, 128GB of unified memory, and two very different ways to buy it: an AMD Strix Halo mini-PC or a Mac. Which one wins is the

The 128GB unified-memory tier is where local AI's action is right now, and GMKtec just reshaped its best-known box. The EVO-X3 takes the same Ryzen AI Max+ 395 platform as the EVO-X2 we covered and rebuilds it as a tower with one genuinely new trick: an O

Every model on our latest-models page has the same download button. The rights that come through that button are wildly different, and 2026's releases have quietly split into camps. Across the 27 recent models our hardware guides track, 13 ship under Apac

Every headline model of 2026 advertises a million-token context window: Kimi K3, DeepSeek V4, Inkling, Nemotron 3. Not long ago that number would have been a joke for local hardware, and our own KV cache explainer spelled out why: on a classic dense trans

A 284-billion-parameter model spent a full day being stress-tested with agentic coding tasks, and the total API bill came to 79 cents. That detail, almost a throwaway line in Bijan Bowen's video, is the story of DeepSeek V4 Flash in miniature: frontier-ad

Line up every notable open-weight release of the past year and one pattern jumps out. Kimi K3: Mixture-of-Experts. DeepSeek V4: MoE. Inkling: MoE. GLM-5.2, MiniMax M3, Nemotron 3, gpt-oss, Qwen's whole current lineup, Gemma 4's larger sizes: MoE, all of t

There is a setting in LM Studio and llama.cpp that can make a local model generate 1.5 to 2.5 times faster without changing a single word of its output. Not a lower quant, not a smaller model, the same model producing mathematically identical answers, fas

Editor checklist: verify all prices and specs against primary sources before publishing (GPU pricing is moving weekly on the memory shortage); swap Amazon search links for exact product/ASIN links; confirm the video embed renders; add any real testing not

Our Inkling spotlight ended on a claim that deserves the full receipts: Thinking Machines' first open model is big, 975 billion parameters, and yet a single high-memory box can hold it. That is the exact opposite of where our Kimi K3 hardware piece landed

Two weeks after Kimi K3 gave us the largest open model ever and a wall no desktop could climb, Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, shipped its first open model, and took the opposite tack. Inkling is a 975-billion-