
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
| Product Overview |
|---|
The Lenovo D3284 High-Density Expansion Enclosure serves as a robust storage extension designed to provide significant capacity growth for Lenovo storage systems. It fits into rack environments where maximizing drive count without adding controllers simplifies management and deployment. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | 6413-HC1 |
| Alternate Part Number | 6413-HC1-04-UK |
| Physical Characteristics | |
|---|---|
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Assembly Required | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The Lenovo D3284 High-Density Expansion Enclosure is designed to extend storage capacity by accommodating a large number of drives in a single unit. It is commonly used in enterprise data centers needing scalable and dense storage solutions without adding controller overhead. Built for integration with compatible Lenovo storage controllers, this enclosure allows IT professionals to expand their existing infrastructure seamlessly. Storage administrators and data center operators often find it useful when increasing raw capacity while maintaining manageable rack space. Key Features
This enclosure is typically deployed in environments where space and expansion flexibility are critical, such as large-scale backup, archiving, or virtualization workloads. It allows organizations to scale storage without replacing existing controller infrastructure, making it a practical choice for growing data needs. |
| Use Cases |
|---|
The 6413-HC1 expansion enclosure is ideal for organizations seeking to increase their storage capacity without overhauling existing infrastructure. How It's Used:
This enclosure supports efficient scaling of storage resources in enterprise environments, helping IT teams manage growing data efficiently. |