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Builds / RTX 5090 32GB

One RTX 5090 + 128 GB RAM running DeepSeek V4.1 Flash (552B) by streaming experts from NVMe: 5.1 tok/s

Source: github.com ↗More source: huggingface.co ↗📏 How measured: reported by the original source; RigBase re-checked the numbers at that source
GPU(s)
RTX 5090 32GB
Amazon · eBay (used) · Newegg
VRAM / unified memory (GB)
32
CPU
not stated
Motherboard
not stated
RAM
125.7 GiB (as reported)
Amazon · eBay (used) · Newegg
PSU
not stated
Other
PCIe 5 NVMe SSD holding the 502 GB GGUF. JigSawPT/llama.cpp branch dsv41-porte: routed experts stream from disk through an 18 GiB VRAM cache and a 72 GiB pinned host tier; engram tables memory-mapped
Reported total cost
not stated
Power
not stated

Measured speed (generation tokens/sec)

ModelQuantEnginetok/sPrompt processing (tok/s)Details
DeepSeek V4.1 FlashMXFP4 experts (lossless repack) + Q8_0/BF16 dense + fp8 engram tablesllama.cpp fork dsv41-porte, expert streaming, --reasoning off5.1not statedcontext: 8,192 ctx📏 New content: 4 prompts of mixed content × 3 rounds, TTFT 7.7 s (prompt length not stated). Same prompt again (experts resident): 21.4 tok/s, TTFT 0.26 s. Measured without --moe-stream-direct; 18 GiB VRAM expert cache + 72 GiB pinned host tier
DeepSeek V4.1 FlashMXFP4 experts + Q8_0/BF16 dense + fp8 engram tablesllama.cpp fork dsv41-porte, expert streaming + --moe-stream-direct (O_DIRECT)8.9not statedcontext: 8,192 ctx📏 First pass on the four benchmark prompts; the model card gives 8.9–10.0 tok/s, low end used (3.9–4.9 tok/s without the flag)

llama.cpp GitHub discussion by JigSawPT, 11 Sep 2026, and the model card of the GGUF (the --moe-stream-direct result was added 23 Sep 2026). Nothing fits in RAM + VRAM; speed depends on the SSD. CPU, board and PSU not stated.

Current GPU street price (estimate, not the builder's cost)Estimated GPU cost for this build today: ≈€7,140
New retail prices in Germany incl. VAT; used cards are often much cheaper. Prices change daily.
Source: https://github.com/ggml-org/llama.cpp/discussions/28766
https://huggingface.co/JigSawPT/DeepSeek-V4.1-Flash-GGUF

Blank fields = not stated in the source. We never estimate build data; GPU street prices above are separately sourced and dated.

Rent before you buy: try this model on a cloud GPU for a few dollars first: Runpod (referral link; sign up with Google to get the new-user bonus)

Quick answers: Can RTX 5090 run DeepSeek V4.1 Flash?