Nvidia 900-21001-0140-130 FHFL Double Wide Full Height PCIe 24GB GPU

Nvidia Ampere Tensor Core A30 GPU Overview

The 900-21001-0140-130 Nvidia Ampere Tensor Core A30 165W Passive FHFL Double Wide Full Height PCIe 24GB GPU is a powerful and high-performance graphics processing unit (GPU) that brings cutting-edge technology to the forefront of AI, machine learning, data analytics, and computationally intensive workloads. Built on Nvidia’s Ampere architecture, the A30 delivers superior performance and efficiency for enterprises and research institutions that require robust computing power.

Key Features of the Nvidia Ampere Tensor Core A30 GPU

• High Memory Capacity: With 24GB of GDDR6 memory, the A30 GPU can handle large datasets and complex computations with ease, ensuring high throughput and minimal latency.
• Tensor Core Technology: Designed specifically for AI and deep learning tasks, the A30’s Tensor Cores accelerate matrix operations, making it ideal for training large-scale machine learning models and running AI inference workloads.
• Passive Cooling: The A30 is designed with a passive cooling system, ensuring quieter operation and reduced power consumption compared to active cooling solutions, which is perfect for data centers and environments with strict noise restrictions.
• PCIe 4.0 Interface: The GPU uses the PCIe Gen 4.0 interface, enabling faster data transfer speeds and bandwidth for improved performance during compute-heavy applications.
• Energy Efficiency: The A30 operates at 165W, ensuring a balance between performance and power consumption, allowing for optimal performance without excessive power draw.

Applications of the Nvidia Ampere Tensor Core A30 GPU

Artificial Intelligence (AI) and Deep Learning

The 900-21001-0140-130 Nvidia Ampere Tensor Core A30 GPU is particularly well-suited for AI and deep learning tasks. With its Tensor Cores optimized for deep learning algorithms, the A30 can significantly accelerate the training of neural networks, delivering faster model training times and better results for AI applications. It is widely used in data centers, research labs, and enterprises working on deep learning projects, including natural language processing, computer vision, and autonomous vehicles.

High-Performance Computing (HPC)

High-performance computing workloads, such as simulations and large-scale data processing, benefit from the A30’s powerful computational capabilities. The A30 GPU’s 24GB of memory allows for the efficient handling of large-scale datasets, making it suitable for applications like scientific research, climate modeling, and complex engineering simulations.

Data Analytics and Business Intelligence

In the realm of big data, the A30 GPU provides the necessary horsepower to process and analyze vast amounts of data at scale. Whether it’s financial analysis, market research, or healthcare data, the GPU's high memory bandwidth and computational efficiency can enhance the speed and accuracy of data analytics tools, empowering businesses to make informed decisions faster.

Design and Build: A30 GPU Hardware Specifications

Full-Height, Double-Wide Form Factor

The A30 GPU is designed with a full-height, double-wide form factor (FHFL), making it suitable for workstations and servers that can accommodate larger GPUs. This design provides ample space for the components that enable high performance and cooling, ensuring the A30 delivers the computing power needed without compromise.

Memory Capacity and Type

Equipped with 24GB of GDDR6 memory, the A30 offers exceptional memory bandwidth and access speeds. This large memory pool is crucial for handling demanding workloads, such as AI model training and large-scale data processing tasks. The GDDR6 memory provides a high data transfer rate, contributing to faster computation speeds and efficient parallel processing capabilities.

PCIe Gen 4.0 Interface

The PCIe Gen 4.0 interface enables high bandwidth and low-latency data transfers, allowing the A30 GPU to interact with the host system quickly. This results in better performance during data-intensive tasks like deep learning, scientific simulations, and data analytics, ensuring that the GPU is never a bottleneck in high-performance environments.

Performance Comparison Nvidia A30 vs. Other GPUs

Compared to Previous Nvidia Architectures

The Nvidia Ampere Tensor Core A30 GPU offers a significant leap in performance compared to previous architectures, such as the Turing and Volta series. The Ampere architecture includes improvements in Tensor Core performance, memory bandwidth, and energy efficiency. As a result, the A30 can deliver superior AI and deep learning performance, making it a better choice for organizations needing more computational power.

A30 vs. Nvidia A100 GPU

When compared to the Nvidia A100, which is also part of the Ampere family, the A30 offers a more cost-effective solution for workloads that do not require the extreme performance capabilities of the A100. While the A100 has more Tensor Cores and a larger memory interface, the A30’s 24GB GDDR6 memory and passive cooling system make it an ideal option for environments where space, power, and noise are considerations.

Integration and Compatibility

Ideal for Data Centers

Due to its passive cooling system, the A30 GPU is ideal for data centers, especially those with specific cooling constraints. The passive cooling design ensures that the GPU operates silently, which is critical for environments that demand minimal noise disruption. Additionally, the A30’s power requirements are optimized for data centers, offering an efficient balance between energy consumption and computational performance.

Server and Workstation Compatibility

The A30 GPU is compatible with various server and workstation configurations, especially those designed to support full-height, double-wide PCIe cards. Servers with PCIe Gen 4.0 slots can fully leverage the A30’s high-speed memory and data transfer capabilities, making it a perfect fit for high-end workstations that require powerful GPU acceleration.

Software Ecosystem and Drivers

Like all Nvidia GPUs, the A30 supports Nvidia’s software stack, including CUDA, cuDNN, and TensorRT, making it easy to integrate into existing workflows. Developers can take full advantage of these libraries and frameworks to accelerate AI, deep learning, and high-performance computing workloads without needing to worry about compatibility issues. Additionally, Nvidia regularly updates drivers to ensure optimal performance across different platforms and applications.

Energy Efficiency and Power Consumption

Power Efficiency of the A30

One of the standout features of the Nvidia A30 GPU is its power efficiency. Operating at 165W, the A30 is designed to deliver maximum performance without drawing excessive power. This energy-efficient design makes the A30 an excellent choice for organizations that are mindful of their energy consumption and wish to lower operational costs in their data centers or computing environments.

Impact on Data Center Operations

Power efficiency is especially important in data centers, where operational costs are a major concern. By using the A30, companies can reduce their energy consumption while maintaining the high-level performance required for demanding workloads. The passive cooling design further reduces the need for active cooling systems, contributing to both energy savings and a quieter environment.

The Nvidia Ampere Tensor Core A30 GPU

Performance and Scalability

The 900-21001-0140-130 Nvidia Ampere Tensor Core A30 GPU provides outstanding performance for various applications, from AI model training and scientific simulations to data analytics and business intelligence. The A30’s scalability allows it to grow with your needs, whether you're scaling your machine-learning models or running complex simulations.

Versatility in Workloads

The A30 is a versatile GPU that can handle a wide range of workloads, including AI, machine learning, deep learning, and high-performance computing tasks. Its large memory capacity and Tensor Core acceleration make it suitable for both training and inference, providing a seamless experience for enterprises working across multiple domains.

Cost-Effective Solution for Power Users

For organizations that need a balance of cost and performance, the A30 offers a cost-effective solution that meets the demands of high-performance workloads. Whether you're working in AI research, data science, or HPC, the A30 offers the capabilities you need without the premium price tag of other top-tier GPUs like the A100 or V100.