
Free Shipping
Why buy from us?
HardwareJet is built for professionals who need dependable hardware without delays or guesswork. Our curated network of manufacturers ensures quality parts, fair pricing, and responsive service.
Ask a Question About This Product
This site is protected by reCAPTCHA and automated abuse prevention. Information collected is used for security purposes in accordance with our Privacy Policy.
Dell HUSMM1616ASS204 1.6TB SSD SAS 2.5-Inch 12Gb/s Drive
The Dell HUSMM1616ASS204 is a high-performance 1.6TB solid state drive designed for enterprise SAS environments. Housed in a compact 2.5-inch form factor, this drive delivers fast data access with a 12Gb/s SAS interface, making it ideal for servers, ... Read More
price
$289.95
- In Stock: 44
- Manufacturer: Dell
- Model or Part: HUSMM1616ASS204
- Condition: Refurbished
- Weight: 3.00lb
United States Shipping
Orders over $200 qualify for Free Super-Saver Shipping! We ship at our discretion via the most cost-effective method using FedEx, UPS, or USPS.To ensure your order is processed efficiently, all shipping charges must be pre-paid at checkout. We are unable to bill directly to third-party shipper accounts or use customer-provided labels for domestic shipments.
International Shipping
International orders begin processing as soon as payment is confirmed.- Pre-paid Shipping: For your convenience, you can select and pay for international shipping directly at checkout.
- Carrier Accounts: Alternatively, we can bill transport costs directly to your FedEx account number. (Note: We cannot bill to DHL, TNT, or UPS accounts).
- Customer Labels: We are also happy to ship internationally using pre-paid labels provided by you for any carrier.
Expedited and Rush Shipping
Need it faster? HardwareJet.com offers 1 or 2-day expedited shipping options during checkout for eligible items.To get your order to the front of the line, expedited orders include a small rush fee in addition to the carrier's shipping charges. If an item is not available for expedited shipping, these options will not appear in your cart.
Item Condition
New - Sealed or Open Box ConditionExcellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item
To bring you an even wider selection, some of our items are shipped directly from our trusted partners. Delivery times may vary for these items.
Overview
The Dell HUSMM1616ASS204 is a high-performance 1.6TB solid state drive designed for enterprise SAS environments. Housed in a compact 2.5-inch form factor, this drive delivers fast data access with a 12Gb/s SAS interface, making it ideal for servers, storage arrays, and high-throughput workstations. Built with proven NAND technology, it offers reliable operation, low latency, and consistent performance for demanding workloads such as database transactions, virtualization, and analytics.
Key Features
- Capacity of 1.6TB provides ample space for large data sets and applications
- 12Gb/s SAS interface ensures high bandwidth and low latency
- 2.5-inch form factor fits standard drive bays in most rack and tower servers
- Enterprise-grade NAND delivers endurance and data integrity
- Advanced error correction and wear leveling extend drive lifespan
- Optimized for mixed read/write workloads in virtualized environments
Technical Specifications
- Model/Part Number: HUSMM1616ASS204
- Interface: Serial Attached SCSI (SAS) 12Gb/s
- Form Factor: 2.5-inch (7mm height)
- Capacity: 1.6TB (1600GB)
- Sequential Read Speed: up to 560 MB/s (typical)
- Sequential Write Speed: up to 540 MB/s (typical)
- Random IOPS (4K): up to 80,000 read / 70,000 write
- Operating Temperature: 0 to 70 degrees C
- Power Consumption: approx 5W active, 0.5W idle
- MTBF: 2 million hours
Typical Applications
- Database servers requiring fast transaction processing
- Virtual desktop infrastructure (VDI) and server virtualization
- High-performance computing (HPC) clusters
- Enterprise backup and recovery systems
- Content delivery networks and media streaming platforms
- Data analytics and big data workloads