Qwen 3.8 27B + DFlash2: 140 Token/Sec?

Описание: DFlash 2 claims up to 141 tokens per second on a single consumer GPU but is it really 3× faster?

In this video, we break down the DFlash 2 benchmark numbers, compare them against MTP, and explain what the headline leaves out.

The biggest surprise is that the famous 140.6 tokens/s result is being compared against a 47.4 tokens/s baseline. But the same model can already reach 114.7 tokens/s with MTP enabled. That changes the real improvement from “3× faster” to roughly 23% faster in that benchmark.

We also explain how speculative decoding works, how DFlash 2 improves on DFlash 1, why its performance changes with GPU usage and concurrency, and where it actually makes sense.

Most importantly, we look at the workloads where DFlash 2 can genuinely become much faster especially RAG, retrieval, document reproduction, and coding agents that read and edit existing code.

⏱️ TIMESTAMPS

00:00 — DFlash 2: The 141 Tokens/s Claim
01:20 — Why the “3× Faster” Claim Is Misleading
02:30 — How Speculative Decoding & MTP Work
04:10 — Real GPU Owners Test DFlash 2
05:55 — DFlash 2 vs MTP: The Real Benchmark
06:05 — How DFlash 2 Actually Works
10:15 — Why DFlash 2 Fails at High Concurrency
11:20 — The RTX 3090 Test: Up to 381 Tokens/s
12:45 — Where DFlash 2 Actually Makes Sense
13:45 — How to Install DFlash 2 Right Now
15:35 — Should You Use DFlash 2?
16:30 — Check MTP Before You Do Anything

DFlash 2 is an interesting piece of speculative decoding engineering, but the benchmark story is more complicated than the headline suggests. The video looks at both sides: where the claims are overstated and where the technology genuinely delivers impressive results.

If you're running local LLMs, Qwen, llama.cpp, Ollama, vLLM, RAG systems, coding agents, or inference on consumer GPUs, this breakdown should help you understand whether DFlash 2 is actually worth using.

The key takeaway: before chasing DFlash 2, check whether MTP is already enabled on your model.

If you found this useful, like the video, subscribe for more deep dives into local AI, LLM inference, GPU performance, and the engineering behind the latest AI models.

And let me know in the comments: what tokens/s are you getting with MTP enabled on your GPU?

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