EP4SGX230FF35C3N

Applications

The EP4SGX230FF35C3N is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in applications requiring extensive parallel processing capabilities 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 execution and high precision calculations. Its robust design ensures reliability under heavy load conditions typical in high-frequency trading environments.

For educational institutions, it serves as a powerful tool for research projects involving computational biology, astrophysics, and other fields that demand significant computational resources. The EP4SGX230FF35C3N can handle large-scale simulations and data analysis tasks efficiently.

Operating Temperature: -20°C to +70°C

Key Advantages

1. High clock speed up to 3.5 GHz, providing superior performance compared to its predecessors.

2. Advanced memory management system that optimizes data access patterns for faster processing speeds.

3. Energy-efficient design with power consumption optimized at 150W, reducing operational costs significantly.

4. Compliance with multiple certification standards including ISO 9001, ensuring quality assurance and regulatory compliance.

Frequently Asked Questions

Q1: What is the maximum clock speed supported by the EP4SGX230FF35C3N?

A1: The EP4SGX230FF35C3N supports a maximum clock speed of 3.5 GHz, which enhances its computational capabilities.

Q2: Can the EP4SGX230FF35C3N be used in environments with fluctuating temperatures?

A2: Yes, the EP4SGX230FF35C3N operates within a wide temperature range (-20°C to +70°C), making it suitable for various environmental conditions.

Q3: In which specific scenarios would you recommend using the EP4SGX230FF35C3N?

A3: The EP4SGX230FF35C3N is recommended for scenarios requiring high-speed data processing, such as real-time data analytics, machine learning model training, and complex simulation tasks.

Other people’s search terms

– High-performance computing solutions

– Data center processors

– Cloud computing accelerators

– Financial algorithmic trading systems

– Educational research computing platforms