THE COLLECTION
EVERY SIGNAL, SORTED.
Search the whole shelf by topic, tool, term, or plain old curiosity.
China, Global Open-Source Inference, Tencent YouTu Lab, Shanghai Jiao Tong University, Xiamen University, DSpine, Qwen3.8-27B, Speculative Decoding, SGLang, Draft Models, Throughput, Latency, Benchmarking and Production Reliability
Tencent made the draft model guess farther. Benchmark the whole serving stack
Tencent released a two-billion-parameter DSpine draft model for Qwen3.8-27B. Its selected tests show longer accepted drafts and higher throughput, but the useful number is not a headline multiplier. It is the gain your target model, draft, hardware, runtime and traffic shape can reproduce together.
France, Spain, European AI Infrastructure, Inference Economics and Sovereignty
Blackfuel priced Europe's AI capacity in tokens before the meter was public
The Paris startup says $250 million in contracts can turn GPU output into a financeable utility. The Barcelona cluster is still being delivered, and the public meter showing tokens, watts, latency and revenue has not arrived.
Local AI and Benchmark Reliability
The optimization worked because the original software picked the wrong kernel
A 20 percent Qwen speedup looked like a clever model trick. A fairer comparison revealed that most of the gain came from avoiding one badly chosen GPU execution path.