Lenovo 4C57A09498

Overview

The Lenovo 4C57A09498 is a GPU computing processor designed for data center servers, built on the NVIDIA Volta GV100 architecture. It serves as a high-performance accelerator for workloads that require large-scale parallel computing and mixed-precision operations. Featuring 5120 CUDA cores and 640 Tensor Cores, this card delivers up to 7 teraflops of double-precision and 14 teraflops of single-precision performance, making it well suited for demanding computational tasks.

Equipped with 16 GB of HBM2 memory offering 900 GBps bandwidth, it ensures efficient data flow to the cores during intensive processing. The passive cooling design relies on the host server’s airflow, and the card fits into Lenovo ThinkSystem SD530 and SR650 servers, providing a seamless integration experience for data center environments.

Key features

• High core count with 5120 CUDA cores and 640 Tensor Cores to accelerate parallel and AI workloads
• 16 GB HBM2 memory with 900 GBps bandwidth to maintain fast data access during heavy computations
• ECC memory support to protect data integrity during long or mission-critical operations
• Passive heatsink design that leverages server chassis airflow for efficient cooling without additional fans
• PCI Express 3.0 x16 interface for broad compatibility and high data transfer rates
• Optimized for Lenovo ThinkSystem SD530 and SR650 servers, simplifying deployment and management
• Power consumption rated at 250 W, balancing performance with energy efficiency in rack-scale setups

Key specs

• GPU architecture: NVIDIA Volta GV100
• CUDA cores: 5120
• Tensor Cores: 640
• Memory: 16 GB HBM2
• Memory bandwidth: 900 GBps
• Interface: PCI Express 3.0 x16
• Power consumption: 250 W
• Cooling: Passive heatsink, two-slot design

Connectivity and compatibility

This GPU computing processor connects via a PCI Express 3.0 x16 slot, ensuring compatibility with a wide range of server motherboards that support this interface. It is specifically validated for Lenovo ThinkSystem SD530 and SR650 servers, which provide the necessary chassis-managed airflow to support its passive cooling design. This compatibility ensures stable operation and easy integration into existing Lenovo data center infrastructures.

Performance and reliability

With its large number of CUDA and Tensor Cores, this card excels at accelerating workloads that benefit from parallel processing and mixed-precision calculations, such as AI training, scientific simulations, and data analytics. The inclusion of ECC memory safeguards against data corruption, which is critical for maintaining accuracy during extended computational tasks. Its passive cooling approach reduces mechanical noise and potential points of failure, contributing to overall system reliability.

Ideal uses and environments

This GPU is a strong choice for data centers and enterprise environments that require robust acceleration for compute-intensive applications. It fits well in Lenovo ThinkSystem servers used in research, AI development, and high-performance computing clusters. Teams looking to enhance their existing Lenovo infrastructure with a powerful, energy-efficient GPU will find this model meets the demands of sustained, large-scale parallel workloads while maintaining system stability.

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