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Builds / 8x RTX 3090 24 GB

8x RTX 3090 serving DeepSeek V4 Flash (LimeChain vLLM kit)

Source: github.com ↗📏 How measured: reported by the original source; RigBase re-checked the numbers at that source
Legacy models only. Every model measured on this rig now has a newer successor: DeepSeek V4 Flash → DeepSeek V4.1 Flash. The hardware numbers are still a useful reference.
GPU(s)
8x RTX 3090 24 GB
Amazon · eBay (used) · Newegg
VRAM / unified memory (GB)
192
CPU
not stated
Motherboard
not stated
RAM
not stated
PSU
not stated
Other
vLLM SM86 overlay, PP8/TP1, DSpark speculative decoding
Reported total cost
not stated
Power
not stated

Measured speed (generation tokens/sec)

ModelQuantEnginetok/sDetails
DeepSeek V4 Flash legacysee source (FP8 KV cache)vLLM LimeChain SM86 overlay, 1 concurrent request95.52📏 Per-session end-to-end p50 at concurrency 1, 128 generated tokens

Model is DeepSeek-V4-Flash-0731. Per-session end-to-end p50 at concurrency 1, 128 generated tokens; aggregate reaches ~404 tok/s at 12 concurrent. The README calls it screening-only. Found via localmaxxing (discovery only); numbers re-checked at the original source on 2026-10-24.

Source: https://github.com/LimeChain/vllm/tree/deepseek-v4-flash-sm86/release/limechain-sm86

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 8x RTX 3090 run DeepSeek V4 Flash?