Today we launch our Open Model Guide for Enterprise Use Cases ๐
Too many models. GLM. DeepSeek. Qwen. Kimi. Gemma. Nemotron. MiniMax. Maybe two more will be shipped this week. Access to open models stopped being the problem a while ago. Choosing the correct one is the problem
671B MoE. 14GB of VRAM.
16.8 tokens/s decode. That is DeepSeek-V3 Q4_K_M on a single RTX 4090 โ not an 8รH100 rack. The hot path stays on the GPU. The giant expert banks live in system RAM. ๐ KTransformers (kvcache-ai/ktransformers, Apache-2.0, Tsinghua MADSys, SOSP 2025).
The shirt that โhidesโ the person
Remote monitoring Artificial intelligence cameras ูููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููู ๐ดIt may look like a Hawaiian shirt to you Eye-catching But he is hidden and silent in front of the machine ๐ค ูููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููููู ๐ Every horse has a setback What is the weak point in this innovation?
DeepSeek Harness Plugins has opened up its capabilities so completely.
DeepSeek Harness Plugins has opened up its capabilities so completely. One advantage is that anyone can combine the human-computer interaction form they want based on the capabilities it opens up. My ideal Skill/App should include both Agent-friendly parts (skill.md) and human-friendly parts (such as interfaces for humans to confirm and read), and the two should be able to communicate with each other.
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