| Specification of HW-V4-ML410-UNI-G-J | |
|---|---|
| وضعیت | منسوخ |
| سری | Virtex?-4 FX |
| بستهبندی | Box |
| تامین کننده | AMD |
| Type | FPGA |
| For Use With/Related Products | XC4VFX60 |
| Platform | Virtex-4 FPGA ML410 UNI Japan |
| Contents | Board(s), Cable(s) – Power Supply Not Included – |
کاربردها
The HW-V4-ML410-UNI-G-J is designed for various industrial applications requiring high-performance computing capabilities. It is particularly suited for environments such as data centers, research labs, and manufacturing facilities. Key features include its ability to handle large-scale data processing tasks efficiently, making it ideal for applications like machine learning model training, big data analytics, and simulation software.
Operating Temperature: -10¡ãC to +60¡ãC
مزایای کلیدی
1. High Processing Speed: The HW-V4-ML410-UNI-G-J boasts a processing speed of up to 8 GHz, enabling rapid execution of complex algorithms.
2. Scalable Architecture: Its modular design allows for easy scalability, accommodating future upgrades without significant downtime.
3. Energy Efficiency: Equipped with advanced power management features that reduce energy consumption by up to 30% compared to similar models.
4. Industry Certifications: Meets stringent safety and quality standards, including ISO 9001 and CE marking.
سؤالات متداول
Q1: Can the HW-V4-ML410-UNI-G-J be upgraded with additional memory?
A1: Yes, the system supports hot-swappable memory modules, allowing for seamless expansion of RAM capacity.
Q2: Is the HW-V4-ML410-UNI-G-J compatible with existing hardware?
A2: The HW-V4-ML410-UNI-G-J is backward-compatible with most standard hardware interfaces, ensuring smooth integration into existing setups.
Q3: In which specific scenarios would you recommend using the HW-V4-ML410-UNI-G-J?
A3: This model is recommended for scenarios involving intensive computational tasks, such as deep learning model training, where performance and reliability are paramount.
عبارات جستجوی افراد دیگر
– High-speed computing solution
– Scalable industrial computer
– Energy-efficient server
– Machine learning hardware
– Advanced data processing unit
