
Instructor of AI Agent classes | Programmer since 2010 | Blogging since 2007 | Helping working adults and students build practical AI tools | Exploring ethical AI writing, automation, and education.
| Platform | Pricing | Freemium | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 70 | Founded | a year ago | Last Issue | 14 days ago |
| Active | |||||

Most discussions about large MoE (Mixture-of-Experts) models focus on GPUs. This one does not.
I tested DeepSeek V4 Flash running under Colibri on a consumer server with a single NVMe SSD and no GPU acceleration. The result was surprisingl...
大部分中小企业老板对房地产投资的理解,往往比 AI 基础设施更深入。
当工程师谈论 AI 服务器时,经常会提到 GPU、VRAM、Token 生成速度、推理延迟等技术指标。
这些数据固然重要,但真正需要思考的问题其实是:
企业应该继续租用 AI,还是时候拥有自己的 AI?
这个问题,其实和「长期住酒店」与「买一间属于自己的房子」非常相似。
目前大部分企业都通过云端服务使用 AI,例如:
Most SME owners understand property investment better than AI infrastructure.
When engineers talk about AI servers, we throw around terms such as GPU, VRAM, tokens per second, and inference latency. Those metrics matter, but they often hid...
This study evaluates inference latency and streaming performance of a self-hosted large language model stack consisting of LiteLLM Proxy, Open WebUI, and a vLLM-based inference backend running Qwen2.5-Coder-7B-Instruct-AWQ on a...
A growing number of AI users are talking about “adversarial paraphrasing” and “watermark removal”. The discussion intensified after reports that AI companies are exploring watermarking technologies to make machine-generated content easier t...
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The writers behind this newsletter.
Instructor of AI Agent classes | Programmer since 2010 | Blogging since 2007 | Helping working adults and students build practical AI tools | Exploring ethical AI writing, automation, and education.
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