ai:jarvisshopping_list
Table of Contents
TorresVault 2.0 — Amazon Hardware Shopping List
This page tracks all hardware currently planned for the TorresVault 2.0 NAS/GPU Build. Parts are grouped by category, with checkboxes for tracking purchases.
🖥️ Core Components
- [ ] CPU: AMD Ryzen 7 5700X
- 8 cores / 16 threads
- Excellent efficiency for a 24/7 NAS + GPU box
- Item added: December 11, 2025
- [ ] CPU Cooler: Thermalright Peerless Assassin 120 SE
- Dual 120mm fans, high-performance tower cooler
- Model: PA120 SE
- Item added: December 11, 2025
- [ ] Motherboard: MSI B550-A PRO V1
- AM4 socket
- PCIe 4.0
- M.2 NVMe support
- Item added: December 11, 2025
🎮 GPU
- [ ] GIGABYTE RTX 5060 Ti WINDFORCE MAX OC — 16GB GDDR7
- PCIe 5.0
- Ideal for LLM inference / Jarvis workloads
- Model: GV-N506TWF2MAX OC-16GD
- Item added: December 11, 2025
💾 Storage
- [ ] TeamGroup MP44 1TB NVMe (PCIe 4.0)
- 7000/6000MB/s
- For OS + AI model storage
- Item added: December 11, 2025
*(You can add your 6TB SAS enterprise disks separately under your NAS drive inventory page.)*
🔌 Power Supply
- [ ] CORSAIR RM650e (2025 model) — 650W Fully Modular
- 80+ Gold
- Modern standby support
- Item added: December 11, 2025
🧱 Case
- [ ] Phanteks XT View (Black)
- Mid-tower
- Tempered glass
- 3× M25-120 DRGB fans
- Item added: December 11, 2025
🧬 Memory (RAM Options)
The list contains multiple RAM kits because stock varies. Choose one of the 32GB kits below depending on availability and price.
**Primary Options**
- [ ] Silicon Power 32GB (2×16GB) DDR4-3200 CL16
- Item added: December 11, 2025
- Good performance/price
- [ ] Crucial Ballistix 16GB (2×8GB) DDR4-3600 CL16
- Item added: December 11, 2025
- Use only if building a lower-RAM starter config
**Alternate Options (Not Needed If Primary Purchased)**
- [ ] Corsair Vengeance LPX 16GB (2×8GB) DDR4-3200 CL16
- Item added: December 11, 2025
- Backup option when other kits are OOS
🗃️ Notes
- This list represents the planned build for TorresVault 2.0 NAS + GPU compute node.
- All parts were added to Amazon on December 11, 2025.
- RAM choices remain flexible depending on stock and pricing.
- Goal: Maximum performance, cooling, and stability for:
- Proxmox workloads
- Local LLM inference
- Jellyfin transcoding
- Heavy automation and CI workloads
ai/jarvisshopping_list.txt · Last modified: by nathna