Name: 0W3C1G Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU Graphics Card
Brand: Dell
SKU: 0W3C1G
Price: 3031.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The Dell NVIDIA A30 Tensor Core GPU 24GB accelerator is designed to enhance AI and high-performance computing tasks. It fits into enterprise-grade servers to provide accelerated processing power where large-scale data handling and machine learning workloads are common. Acting as a core element in data centers, this GPU supports efficient and scalable compute operations without unnecessary complexity.

General Information
Brand	Dell
Part Number	0W3C1G

Technical Information
Chipset	Nvidia

Memory
Memory Size	24GB
Interface	HBM2

Miscellaneous
Assembly Required	Yes
Eco Friendly	Yes
Compliance Standards	WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL

Physical Characteristics
Slot Width	Dual-slot
Weight	3.00
Condition	Refurbished

Product Description
The Dell NVIDIA A30 Tensor Core 24GB GPU is built for demanding AI workloads and accelerated computing tasks. It’s commonly used in data centers and enterprise environments where processing large datasets and running complex AI models is routine. Professionals working on machine learning, scientific simulations, or large-scale analytics benefit from its capabilities. Key Features Equipped with 24GB of high-bandwidth HBM2 memory to handle intensive data streams Tensor Core architecture accelerates AI training and inference operations Utilizes PCIe 4.0 for improved data transfer speeds within systems Optimized for scalability in multi-GPU setups to boost performance Compatible with Dell servers and enterprise hardware for streamlined integration This GPU is often found powering AI research labs, cloud-based services, and enterprise servers. It helps reduce processing times and supports complex computations that are essential for modern AI and scientific workloads. Its reliability and speed make it a practical choice in environments requiring consistent and robust performance.

Use Cases
The Dell NVIDIA A30 Tensor Core 24GB GPU Accelerator is primarily deployed in enterprise data centers and HPC clusters where AI model training and inference demand substantial computational throughput. IT teams managing virtualized environments and large-scale analytics benefit from its integration to handle diverse workloads efficiently. How It's Used: Accelerating deep learning training workflows in cloud-based data center platforms for AI research institutions. Enhancing real-time inference performance in edge computing deployments within telecommunications networks. Supporting large-scale simulation and modeling tasks in HPC environments for engineering and scientific computing firms. Enabling efficient virtualization of GPU resources in multi-tenant enterprise IT infrastructures. Facilitating accelerated data analytics and machine learning pipelines in storage cluster environments for financial services. By providing scalable tensor core acceleration and high-bandwidth memory, this GPU supports complex computational tasks without compromising on latency or throughput. It enables organizations to optimize resource utilization while maintaining operational efficiency in demanding high-performance computing scenarios.