Specification of K121M10X7RF53L2 | |
---|---|
Status | Active |
Series | Mono-Kap? K |
Package | Bulk |
Supplier | Vishay Beyschlag/Draloric/BC Components |
Capacitance | 120 pF |
Tolerance | 20% |
Voltage – Rated | 50V |
Temperature Coefficient | X7R |
Operating Temperature | -55C ~ 125C |
Features | – |
Ratings | – |
Applications | General Purpose |
Failure Rate | – |
Mounting Type | Through Hole |
Package / Case | Radial |
Size / Dimension | 0.142″ L x 0.091″ W (3.60mm x 2.30mm) |
Height – Seated (Max) | 0.205″ (5.20mm) |
Thickness (Max) | – |
Lead Spacing | 0.098″ (2.50mm) |
Lead Style | Straight |
Applications
The K121M10X7RF53L2 is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks such as machine learning algorithms, big data analytics, and scientific simulations. This component operates within a wide range of temperatures from -40¡ãC to +85¡ãC, ensuring reliability across various environmental conditions.
Key Advantages
1. The K121M10X7RF53L2 features a 10-core processor with a clock speed up to 3.6 GHz, providing exceptional computational power.
2. Its unique architecture includes advanced cache management that enhances data access speeds significantly.
3. The power consumption is optimized at just 120 watts under maximum load, making it energy-efficient compared to similar processors.
4. It has been certified to meet stringent safety and quality standards, including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: Can the K121M10X7RF53L2 be used in environments with extreme temperatures?
A1: Yes, the K121M10X7RF53L2 can operate effectively in temperatures ranging from -40¡ãC to +85¡ãC due to its robust design and thermal management capabilities.
Q2: What is the compatibility of the K121M10X7RF53L2 with existing hardware?
A2: The K121M10X7RF53L2 is backward compatible with most existing motherboards and cooling systems, but it may require specific drivers and firmware updates for optimal performance.
Q3: In which specific scenarios would the K121M10X7RF53L2 be most beneficial?
A3: The K121M10X7RF53L2 is highly beneficial in scenarios requiring high computational power, such as deep learning model training, financial market analysis, and complex simulation tasks in engineering and physics research.
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