Specification of XC7A35T-2CPG236I | |
---|---|
Status | Active |
Series | Artix-7 |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 2600 |
Number of Logic Elements/Cells | 33280 |
Total RAM Bits | 1843200 |
Number of I/O | 106 |
Number of Gates | – |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 238-LFBGA, CSPBGA |
Supplier Device Package | 238-CSBGA (10×10) |
Applications
The XC7A35T-2CPG236I is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in applications such as artificial intelligence training, big data analytics, and cloud computing services. This device operates within a wide range of temperatures from -40°C to +85°C, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 350 MHz, providing superior computational performance.
2. Advanced parallel processing architecture that enhances data throughput.
3. Low power consumption, reducing operational costs significantly.
4. Compliant with multiple industry certifications including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: Can the XC7A35T-2CPG236I be used in high-temperature environments?
A1: Yes, it can operate effectively between -40°C and +85°C, making it suitable for industrial settings requiring robust performance at extreme temperatures.
Q2: What are the compatibility requirements for the XC7A35T-2CPG236I?
A2: The XC7A35T-2CPG236I is compatible with a wide range of software platforms and hardware configurations, supporting both legacy and modern systems without requiring significant modifications.
Q3: In which specific scenarios would you recommend using the XC7A35T-2CPG236I?
A3: This device is particularly recommended for scenarios involving large-scale data processing, machine learning models, and real-time analytics where high-speed and low-latency operations are critical.
Other people’s search terms
– High-performance computing solutions
– AI training accelerators
– Cloud computing hardware
– Industrial-grade processors
– Energy-efficient computing devices