@ivanalog_com: I severely underestimated the 5070 Ti — Strata is a streaming architecture, where all the experts and KV caches have to flow repeatedly between RAM, PCIe, and VRAM. Like flowing water, any bottleneck in this pipeline will limit the flow rate. The importance of GPUs goes without saying, but from searching community benchmarks, for older platforms…

X AI KOLs Timeline News

Summary

The author reassesses hardware choices for running Qwen Flash Next locally under the Strata streaming architecture, finding that memory bandwidth and PCIe speed have an enormous impact on older platforms, while newer platforms can get close to 5090-level performance with just two 5070 Ti cards. The value-for-money calculus flips completely.

I severely underestimated the 5070 Ti, Strata is a streaming architecture — all the experts and KV caches have to flow repeatedly between RAM, PCIe, and VRAM. Like flowing water, if there's a bottleneck along the way, the flow rate gets limited. The importance of GPUs goes without saying, but from searching community-run results, memory bandwidth and PCIe speed also matter a lot for older platforms. The same 5070 Ti can show up to a 2x difference in read/write performance depending on the machine it's in — but until now I had only collected results from older machines. The takeaway can be summarized as: On older platforms, memory and PCIe are major bottlenecks, so you need the big-memory 90-series cards. On newer platforms, you can freely go dual-card, which is cheaper. Two 5070 Ti cards offer VRAM and compute that theoretically match a 5090 — and in practice, Strata can run at over 70% of a 5090's performance. 詳しくはこちら👇
Original Article
View Cached Full Text

Cached at: 10/06/26, 03:53 PM

I severely underestimated the 5070 Ti,

Strata is a streaming architecture — all experts, KV, everything must flow repeatedly between memory, PCIe, and VRAM,

Like water in a pipeline. If there’s a bottleneck in the middle, the flow speed gets limited.

The importance of the GPU goes without saying, but searching community results shows that for older platforms, memory bandwidth and PCIe speed also have a very significant impact.

The same 5070 Ti card can show read/write performance that varies by up to 2x depending on the machine it’s on — but I previously only collected results from older machines.

The conclusion can be summarized as:

  • Older platforms are heavily constrained by memory and PCIe — you need to go with 90-series large-VRAM cards
  • Newer platforms can freely choose dual-card setups at lower cost — dual 5070 Ti with combined VRAM and compute theoretically matches a 5090, and in practice Strata can hit over 70% of a 5090’s performance

More details here 👇

seekinganythingbutalpha (@ivanalog_com): With Strata, the optimal-value hardware configuration for running Qwen Flash Next locally on a single machine has completely flipped.

The once highly competitive Mac M5M, M5U, etc. all lost the battle,

While NVIDIA’s top-tier GPUs + large memory approach achieved an overwhelming victory.

The 3090, once universally mocked as a mining card, has become hard to come by — and the 4090 and 5090 are even more sought-after.

Even dual 5060s and dual 3060s are now future-proof.

Similar Articles

@ivanalog_com: With Strata's boost, the hardware configuration value table for locally running Qwen Flash Next on a single machine is …

X AI KOLs Timeline

The post reports that Strata's boost technology has completely reshaped the hardware landscape for locally running Qwen Flash Next on a single machine: NVIDIA cards with large memory (RTX 3090/4090/5090, even mid-range options like 5060/3060 X2) now clearly outperform formerly competitive Apple Mac M5-series configurations, with demand surging for the 3090, 4090, and 5090.

Strata is the shit

Reddit r/LocalLLaMA

用户分享使用 Strata 替换 llama.cpp 运行 Qwen 3.8 Flash Next 后,解码速度从 70-80 tk/s 提升至 150 tk/s,并顺带测试了 DeepSeek v4.1flash 2.25bit 量化在多 GPU 上的表现。

Strata performance finetuning - try it out

Reddit r/LocalLLaMA

一位用户分享了对本地 LLM 推理工具 Strata 的深度性能调优经验,通过调整 --pcie-frac、--pool-workers、--trim-stage-weights、--pipeline-windows 等参数并在双 RTX 3060 上优化 GPU 优先级,实现了约 35 tps 到 60+ tps 的解码速度提升。

@ivanalog_com: From my personal perspective, after the Strata revolution, the products that are very likely to see price increases rig…

X AI KOLs Timeline

The author believes that after the Strata revolution, prices for memory above 32G and mid-range graphics cards above 16G are very likely to rise, and suggests that a configuration of 64G RAM + 16G VRAM can run Strata for just over a thousand yuan. The quoted post shows that DDR5 prices (especially 16G and 32G) have already deteriorated significantly.