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Builds / 2x Tesla V100 32 GB (PG500-216, sm_70)

Dual Tesla V100 32 GB on EPYC 7402 (bnk engine)

Source: github.com ↗📏 How measured: reported by the original source; RigBase re-checked the numbers at that source
GPU(s)
2x Tesla V100 32 GB (PG500-216, sm_70)
Amazon · eBay (used) · Newegg
VRAM / unified memory (GB)
64
CPU
AMD EPYC 7402 (32 vCPUs)
Amazon · eBay (used) · Newegg
Motherboard
not stated
RAM
128 GB DDR4 (192 GB for DeepSeek)
Amazon · eBay (used) · Newegg
PSU
not stated
Other
PCIe 3.0 x16; Ubuntu 24.04, driver 580, CUDA 12.8
Reported total cost
not stated
Power
not stated

Measured speed (generation tokens/sec)

ModelQuantEnginetok/sDetails
Qwen3.8 27BQ8_0bnk dense engine, tensor parallel, no drafting42.4📏 Maintainer decode tok/s from the bnk README
Qwen3.8 27BQ8_0bnk dense engine, tensor parallel, MTP drafting104⚡ spec-decode (MTP)📏 Maintainer decode tok/s from the bnk README
Qwen3.8 Flash-NextFP4-Localbnk v0.3.1, decode at 4K context114context: 4K📏 Maintainer decode tok/s from the bnk README
Qwen3.8 Flash-NextIQ3_Sbnk v0.3.1, decode at 4K context121context: 4K📏 Maintainer decode tok/s from the bnk README
DeepSeek V4.1 FlashGSQ-RCO 2-bitbnk v0.5.0, experts split VRAM/RAM (CPU offload)13📏 Maintainer decode tok/s from the bnk README

All figures from the bnk README (maintainer's own machine). The DeepSeek V4.1 Flash run needs 192 GB system RAM and reads the Engram tables from NVMe; '~13 tok/s' in the README. Found via localmaxxing (discovery only); numbers re-checked at the original source on 2026-10-24.

Source: https://github.com/christ-pher/bnk

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 2x Tesla V100 32GB run DeepSeek V4.1 Flash? · Can 2x Tesla V100 32GB run Qwen3.8 27B? · Can 2x Tesla V100 32GB run Qwen3.8 Flash-Next?