DYI NAS BUILD

[Enquiries]

I'm building a NAS for home use that will be accessed by multiple friends for Plex streaming and AI workloads. My setup includes the following components:

? Intel Core i7-14700F (Processor)
? Noctua L12S (Low Profile Air Cooler)
? Gigabyte Z790M Aorus Elite AX mATX (WiFi + Bluetooth)
? Corsair 32GB DDR5 (16x2) 6000MHz (Memory)
? Nvidia Quadro RTX A2000 ADA 12GB (GPU for AI tasks)
? 8 x 4TB Seagate IronWolf 7200RPM ST8000VN004 (Storage)
? Corsair RM850e ATX 3.0 Fully Modular 80 Plus Gold (PSU)
? Intel X540-T2 PCIe 10G Dual Port LAN Card
? 1x NVMe (400GB) + 1x 2.5" SSD (WD)
? USB 3.2 Gen 1 / Thunderbolt support preferred
? OS: Hex OS

Case Options:
I'm currently considering Fractal Design Node 804 and SilverStone CS351 for this NAS build. However, Jonsbo cases are not available in my region, so I need to choose between these two.

Which case should I go with ?
Thanks in advance for your insights! ?

[ed]

Your NAS build looks fantastic! Given your use case with multiple Plex streams and AI workloads, both the Fractal Design Node 804 and SilverStone CS351 are solid options, but there are some key differences that may sway your decision.

Fractal Design Node 804: This case is known for its excellent airflow and modular design, with dual chambers to separate storage and components. It offers great flexibility for drive configurations (up to 8 drives) and is well-suited for quiet operation, which is nice if your NAS is in a shared living space. It's compact but still has good cooling potential.

SilverStone CS351: This is another good option with a more traditional layout and spacious interior. It also supports up to 8 drives, but its airflow is slightly less optimized compared to the Node 804, though it’s still efficient. The CS351 also tends to be a bit more affordable and has a clean aesthetic.

Considering your use of AI tasks and 10G LAN, both cases should accommodate your components, but the Fractal Design Node 804 might be the better choice for airflow and component separation, especially since you're pushing performance-heavy workloads with the Quadro GPU and high-speed storage.