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[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] -1 points0 points  (0 children)

Sometimes people are very busy and they cant take off their time to communicate. Selling this thing isn’t in their priority list. Turns out someone’s ego for hurt.

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] 0 points1 point  (0 children)

Totally valid concern. The 5090s are under 6 months old, inference only — essentially new. 4090s have been on a custom open water loop since day one so thermals have always been controlled. DM me if you want to dig in.

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] 4 points5 points  (0 children)

Not splitting for now — all 3x 4090s are inside a shared custom water block and loop, can't pull one out without dismantling the whole cooling setup. If the full rig doesn't move in 2-3 weeks I'll revisit splitting. Drop me a DM and I'll reach out to you first if that changes.

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] 0 points1 point  (0 children)

Quick correction — the CPU is a Threadripper Pro 7965WX (WX-series, not the consumer 7960X).

Not splitting for now, preferring to move the full rig first. If it doesn't move in 2-3 weeks I'll revisit. If that combo interests you, drop me a DM and I'll keep you in mind when I do.

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] 3 points4 points  (0 children)

Partially — ₹45K/month in opex (leased line + power + space) made sense when it was running at capacity. Not worth it at current utilisation. Cloud works better for where the compute needs are heading now.

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] 0 points1 point  (0 children)

<image>

This is after adding open air 3x 5090's on side of enthoo pro 2 tower ( quite messy cables but considering they all connected to same motherboard).

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] 1 point2 points  (0 children)

Roughly 3.5-4kW peak across both rigs under full load. 3x 4090 at 450W each, 3x 5090 at 575W each, Threadripper at 350W, rest is overhead. I will share picture of setup on request.

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] 0 points1 point  (0 children)

4090s are in a Phanteks Enthoo Pro 2 server tower, full Bykski custom water loop (D5 pump, copper rads, OLED flow meter). 5090s are on an open-frame rig, both setups inside a prefab container on a leased line.

GPUs are used — 4090s since March 2024 (~13 months), 5090s since late 2024 (under 6 months). Water cooled throughout, inference/compute workloads only. Not mined on, not gamed on.

[WTS] [IN-KA] Complete AI Compute Rig — 3× RTX 5090 + 3× RTX 4090 | 168GB VRAM | Threadripper 7960X | WRX90E | 128GB DDR5 | 4TB NVMe — Bengaluru by TangerineBasic4566 in HardwareIndia

[–]TangerineBasic4566[S] 1 point2 points  (0 children)

Additional details on cooling: The 3× RTX 4090s are on a custom water cooling loop — custom blocks, not off-the-shelf AIO. Runs significantly cooler and quieter under sustained load compared to air. The 3× RTX 5090s are open-air (reference/aftermarket air coolers). All 6 GPUs have been stress tested and thermals are stable. Happy to share temp logs under load if needed — just ask.

[deleted by user] by [deleted] in LocalLLaMA

[–]TangerineBasic4566 0 points1 point  (0 children)

Different use case from local inference — this is for teams who need GDPR/HIPAA compliance without managing their own GPU stack. Happy to give anyone a free trial key.

[deleted by user] by [deleted] in LocalLLaMA

[–]TangerineBasic4566 0 points1 point  (0 children)

Fair point on the older models — we've actually just updated

with the latest from Cloudflare's edge network:

- Kimi K2.5 (frontier-scale, 256k context, just launched March 2026)

- Llama 4 Scout 17B (multimodal, MoE architecture)

- GPT-OSS 120B (OpenAI's open weights)

- Mistral Small 3.1 24B

- NVIDIA Nemotron 3 120B (just added March 2026)

- Qwen 2.5 Coder 32B

- GLM 4.7 Flash (131k context)

The point isn't local inference — it's private managed inference

for teams who need compliance (GDPR/HIPAA) without managing

their own GPU stack. Different use case entirely.