| Specification of HW-V4-ML405-UNI-G-J | |
|---|---|
| وضعیت | منسوخ |
| سری | Virtex?-4 FX |
| بستهبندی | Box |
| تامین کننده | AMD |
| Type | FPGA |
| For Use With/Related Products | XC4VFX20 |
| Platform | Virtex-4 FPGA ML405 UNI Japan |
| Contents | Board(s), Cable(s) – Power Supply Not Included – |
کاربردها
The HW-V4-ML405-UNI-G-J is designed for integration into high-performance computing environments, particularly in data centers and cloud computing solutions. It excels in applications requiring robust processing power such as machine learning models training, big data analytics, and scientific simulations.
In the financial sector, it supports complex algorithmic trading systems that require rapid processing capabilities. Its ability to handle large datasets efficiently makes it ideal for fraud detection and risk assessment models.
For educational institutions, it enhances research projects involving artificial intelligence and deep learning, providing students with hands-on experience in advanced computational techniques.
Operating Temperature: -20¡ãC to +60¡ãC
مزایای کلیدی
1. High Clock Speed: Up to 3.8 GHz
2. Advanced Memory Interface: Supports DDR4 up to 3200 MHz
3. Energy Efficiency: Achieves up to 90% efficiency at peak performance
4. Industry Certifications: Passes ISO 9001 and CE Marking Standards
سؤالات متداول
Q1: What is the maximum clock speed supported by the HW-V4-ML405-UNI-G-J?
A1: The maximum clock speed supported by the HW-V4-ML405-UNI-G-J is up to 3.8 GHz.
Q2: Can the HW-V4-ML405-UNI-G-J be used in environments with extreme temperatures?
A2: Yes, the HW-V4-ML405-UNI-G-J operates within a wide range of temperatures from -20¡ãC to +60¡ãC, making it suitable for various environmental conditions.
Q3: In which specific scenarios would you recommend using the HW-V4-ML405-UNI-G-J?
A3: The HW-V4-ML405-UNI-G-J is recommended for scenarios requiring high computational power, such as training neural networks, running complex simulations, and handling large-scale data analysis tasks.
عبارات جستجوی افراد دیگر
– High Performance Computing Solutions
– Machine Learning Accelerators
– Cloud Computing Hardware
– Data Center Processing Units
– Scientific Simulation Equipment
