Name: RV08M Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU
Brand: Dell
SKU: RV08M
Price: 3598.00 USD
Availability: InStock
Rating: 4.8 (130 reviews)

Product Overview
The RV08M Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU delivers focused performance for AI and data center applications. It fits into high-performance computing environments where large-scale model training and inference are key, providing a balance between memory capacity and computational power without unnecessary complexity.

General Information
Brand	Dell
Part Number	RV08M

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 RV08M Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU is built for intensive AI, machine learning, and data analytics applications. Its powerful tensor cores and high-bandwidth memory enable faster processing of complex models and large datasets. Often found in data centers and enterprise environments, this GPU supports both training and inference workloads. It's commonly used by data scientists, researchers, and IT professionals who require reliable acceleration for demanding compute tasks. Key Features High-speed 24GB HBM2 memory supports large model training efficiently Tensor Core technology enhances AI computation performance Energy-efficient design helps maintain system cooling and power use Optimized for Dell server and workstation platforms Supports multiple parallel processes for improved throughput You'll typically find this GPU powering AI research labs, cloud data centers, and enterprise servers where performance and reliability matter. Its role is crucial in accelerating workflows that would otherwise take much longer on traditional processors.

Use Cases
The RV08M Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU is primarily utilized in high-performance computing settings that demand robust AI processing and data analytics. It is ideal for enterprises and data centers focusing on deep learning model training, inference workloads, and accelerated computing tasks requiring efficient memory bandwidth and processing power. How It's Used: Accelerating machine learning model training in large-scale data centers supporting enterprise AI initiatives. Deploying in rack-mounted servers to enhance real-time inference for automated decision systems in financial services. Enhancing virtualized environments for research institutions performing complex simulations and data analysis. Supporting high-throughput computational workloads in cloud service providers offering AI as a service. Integrating into edge computing platforms where low latency AI processing is critical for industrial IoT applications. This accelerator GPU improves operational efficiency by balancing memory capacity with compute throughput, enabling scalable AI workloads without excess overhead. Its compatibility with Dell systems facilitates streamlined deployment and maintenance within established IT infrastructures.

RV08M Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU

Product Overview

General Information

Technical Information

Memory

Miscellaneous

Physical Characteristics

Product Description

Use Cases