Lenovo 4X67A76581 – ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU
The ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU is a high-performance graphics processing unit designed for enterprise environments. This device is built to handle demanding workloads, such as data analytics, artificial intelligence, and high-performance computing. Its passive cooling system ensures reliable operation in datacenter environments. The NVIDIA A30 GPU is optimized for PCIe Gen4, providing fast data transfer rates and low latency. This makes it an ideal solution for applications that require high-bandwidth and low-latency performance. In enterprise environments, this device can be used to accelerate datacenter workloads, improve data analytics, and enhance AI capabilities.
The ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU is designed to meet the needs of modern datacenters. Its compact form factor and low power consumption make it an attractive solution for dense rack deployments. This device is also optimized for NVIDIA’s datacenter software stack, providing a comprehensive solution for datacenter workloads. The NVIDIA A30 GPU is also compatible with a range of operating systems, including Windows, Linux, and VMware.
In addition to its technical capabilities, the ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU is also designed to meet the needs of IT administrators. Its passive cooling system and low power consumption make it a reliable and efficient solution for datacenter environments. The device is also easy to deploy and manage, with support for a range of management tools and software.
Technical Specifications
| Brand | Lenovo |
| SKU | 4X67A76581 |
| Category | Servers & Storage |
| GPU | NVIDIA A30 |
| Memory | 24GB |
| Interface | PCIe Gen4 |
| Cooling | Passive |
| View all Lenovo Products → | |
Challenges Solved by this Solution
The ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU solves a range of business pain points for enterprise IT administrators. One of the key challenges is the need to accelerate datacenter workloads, such as data analytics and AI. This device provides a high-performance solution for these workloads, improving data analytics and enhancing AI capabilities. Another challenge is the need to improve datacenter efficiency, reducing power consumption and improving reliability. The ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU meets these needs, providing a low-power and reliable solution for datacenter environments. By deploying this device, IT administrators can improve datacenter efficiency, reduce costs, and improve overall IT operations.
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Frequently Asked Questions
What are the benefits of using a passive cooling system in a datacenter environment?
A passive cooling system provides reliable operation in datacenter environments, reducing the risk of cooling system failures and improving overall datacenter reliability.
How does the ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU improve data analytics?
The device provides a high-performance solution for data analytics workloads, improving data processing times and enhancing overall data analytics capabilities.
What is the compatibility of the ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU with different operating systems?
The device is compatible with a range of operating systems, including Windows, Linux, and VMware.
Can the TECHOM Systems Sales team help with installation and deployment of the ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU?
Yes, the TECHOM Systems Sales team can provide support for installation and deployment of the device, as well as consulting services for datacenter design and optimization.
How does the ThinkSystem NVIDIA A30 24GB PCIe Gen4 Passive GPU improve AI capabilities in the datacenter?
The device provides a high-performance solution for AI workloads, improving AI processing times and enhancing overall AI capabilities.
Ready to Deploy Lenovo Thinksystem Nvidia A30 24gb Pcie Gen4 Passive Gpu (4X67A76581)?
Product Ref: TOS-852916 • Get enterprise pricing, volume discounts, and Australian support.






















