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MT40A1G16KNR-062E:E
+Lista de MateriaisIC DRAM 16GBIT PARALLEL 96FBGA
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FabricanteMicron Technology Inc.
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Peça do Fabricante #MT40A1G16KNR-062E:E
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Pacote FBGA-96
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Em Estoque2851
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Especificações
| Atributo | Valor |
| Package | Tray |
| ProductStatus | Active |
| MemoryType | Volatile |
| MemoryFormat | DRAM |
| Technology | SDRAM - DDR4 |
| MemorySize | 16Gb (1G x 16) |
| MemoryInterface | Parallel |
| ClockFrequency | 1.6 GHz |
| WriteCycleTime-WordPage | 15ns |
| AccessTime | 19 ns |
| Voltage-Supply | 1.14V ~ 1.26V |
| OperatingTemperature | 0°C ~ 95°C (TC) |
| MountingType | Surface Mount |
| Package/Case | 96-TFBGA |
Visão Geral
Description
The MT40A1G16KNR-062E:E is designed for applications such as servers, desktops, and laptops, where high bandwidth and low latency are crucial. It supports features like on-die termination (ODT) and dual-rank configuration, enhancing signal integrity and performance. Additionally, it includes error-correcting code (ECC) capabilities for increased reliability in data processing, which is essential for enterprise and critical computing environments.
Equivalent
1. Samsung: K4A8G165WB-BCRC
2. Hynix (SK Hynix): H5AN8G6NCJR-UHC
3. Nanya: NT5CC512M16ER-EK
These alternatives offer similar specifications and functionality but check for specific requirements like speed, voltage, and temperature ratings to ensure compatibility.
Features
Pinout
The key functions of this chip include:
- High-speed data transfer: Designed for use in applications requiring fast data rates.
- Low power consumption: Enhanced power efficiency features for reduced energy usage.
- Compatibility with DDR4 standards: Ensuring it works with other components in DDR4 systems.
- Density: 1 Gigabit, providing a sizeable storage capacity per chip.
For detailed pin functions and configuration, refer to the manufacturer's datasheet, as it provides comprehensive pin assignments and descriptions.
Manufacturer
Application
1. Data Centers: Enhancing server performance with efficient data processing.
2. High-Performance Computing (HPC): Supporting intensive computational tasks.
3. Networking Equipment: Improving data throughput and latency.
4. Artificial Intelligence and Machine Learning: Facilitating faster data manipulation.
5. Cloud Computing: Ensuring efficient handling of multiple virtual machines.
6. Enterprise Storage Solutions: Enhancing speed and reliability of data storage.
These applications benefit from its high bandwidth, low latency, and energy-efficient performance.