u/TangerineBasic4566

Selling UNOPENED ASUS Pro WS WRX80E-SAGE SE WIFI

# ASUS Pro WS WRX80E-SAGE SE WIFI AMD Threadripper Pro EATX workstation motherboard (PCIe 4.0, ASMB9-iKVM, 2x10Gb LAN, 7xPCIe 4.0 X16 slots, 3xM.2,2xU.2 ports, 11 USB 3.2 Gen 2 ports,8-channel DDR4 ECC)

**Location: Bengaluru, India**

reddit.com
u/TangerineBasic4566 — 1 day ago
▲ 1 r/homelabindiasales+1 crossposts

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru

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## Specs

| Component | Details |

|---|---|

| **GPU** | 3× RTX 5090 (32GB GDDR7) + 3× RTX 4090 (24GB GDDR6X) |

| **Total VRAM** | 168GB |

| **CUDA Cores** | 114,432 (combined) |

| **CPU** | AMD Threadripper 7965WX — 24C/48T, 5.3GHz boost, 128MB L3 |

| **Motherboard** | ASUS WRX90E (88× PCIe 5.0 lanes) |

| **RAM** | 128GB DDR5 |

| **Storage** | 4TB NVMe SSD (internal) |

| **GPU Connection** | All 6 via PCIe riser extension cables, same board |

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## What this rig runs locally (no cloud)

- ✅ Qwen2.5-72B at **full FP16** — fits in 144GB VRAM with headroom

- ✅ LLaMA 3.1 70B / LLaMA 3.3 70B (full precision)

- ✅ DeepSeek R1 70B, Mistral Large 2, Mixtral 8×22B

- ✅ DeepSeek V2.5 236B at Q3 quantization

- ✅ Local vLLM / llama.cpp inference server for team use

> 168GB VRAM is the threshold for running frontier open-weight 70B models without quality-degrading quantization. This replaces ₹80K–1.5L/month in cloud GPU costs.

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## Hashcat benchmarks — all 6 GPUs combined

| Hash type | Speed |

|---|---|

| MD5 | ~1.15 TH/s |

| NTLM | ~2.05 TH/s |

| SHA-256 | ~151 GH/s |

| WPA2-PMKID/EAPOL | ~19.2 MH/s |

| bcrypt | ~1.47 MH/s |

| SHA-512 | ~50 GH/s |

*Per-card figures: RTX 5090 — 220 GH/s MD5, 340 GH/s NTLM, 3,800 kH/s WPA2. RTX 4090 — 164 GH/s MD5, 344 GH/s NTLM, 2,600 kH/s WPA2.*

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## Condition & logistics

- All GPUs tested, stable, no artifacts

- Full system benchmark proof available (nvidia-smi, hashcat output, llama.cpp inference)

- **Location:** Bengaluru, Karnataka (IN-KA)

- **Shipping:** Pan-India, buyer pays insured courier. In-person inspection welcome in Bengaluru.

- **Preferred buyers:** AI startups, ML labs, security research teams, mining ops

- **Will not split** — selling as a complete unit only

**Price:** Comment or DM. Negotiable for serious buyers only.

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reddit.com
u/TangerineBasic4566 — 1 day ago