The Nvidia A100 32G SXM2 PG199+FA2 can support local agentic coding tools like Roo, Cline, and Kilo, with acceptable output speeds. Taking Qwen3 Coder 30b as an example, chat performance reaches 80-90 TPS, but drops to 40-50 TPS when using agent due to the long context window. With contexts...
Can I ask why you want to disassemble this SXM2? My current application is mainly LLM inference. Using the latest MOE architecture such as Qwen3 or GLM, the heat problem has been greatly reduced. I used to use three three-fan air cooling, each fan power is 6Watt, but now, three fans only use...
I am sharing a very good blog about a PG199 experience (I really admire the author’s perseverance and research spirit), but if you don’t like it please just ignore it.
Making a datacenter gpu server in my student bedroom
I just haven't paid attention for a few months, and almost all the low-priced PG199s on eBay are sold out. Maybe more people are discovering the trick of using this computing card.
I don't know if it's really necessary to do that. With three fans and five heat pipes on an open rack, the temperature of the PG199 inference model can be controlled below 70 degrees. Will this affect the secondary sale?
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