**TL;DR:** DeepSeek-V4.1-Flash-1017 (EXL3 2.9bpw, 1M context) on 2x DGX Spark, TP=2 over the CX7 cable. TensorFold is 2.1-2.3x faster than the vLLM kit on the same pair, same weights, same prompts, same day. vLLM kit TensorFold Decode, text 27.0 tok/s **56.8 tok/s** Decode, code 39.9 tok/s **92.2 tok/s** Needle in 64K 80.4 s **35.9 s** 4 requests, code, total 1 at a time **140 tok/s** * forced tool calls (`tool_choice` required / named) * json_schema / regex / choice output, 4 requests at once * one bad request no longer takes down the server **Also:** the prompt cache survives a restart (an 18K-token conversation resumes in 2.7 s instead of 16.8 s). [Recipe on GitHub](https://github.com/Elevatormusic/DeepSeek-V4.1-Flash-1017-EXL3-TensorFold-2x-DGX-Spark) [HF card](https://huggingface.co/Elevatormusic/DeepSeek-V4.1-Flash-1017-2x-DGX-Spark-TensorFold-2x-Faster) **Credit:** the fast engine is [bertholomus's V4.1 port](https://github.com/bertholomus/deepseek-v4.1-tensorfold-tp2-2xgb10).   submitted by   /u/shayanx45 [link]   [comments]