Name: NVIDIAA30 Lenovo 24GB HBM2 Tensor Core Accelerator GPU
Brand: Lenovo
SKU: NVIDIAA30
Price: 3450.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The NVIDIA A30 Tensor Core 24GB HBM2 accelerator is a powerful graphics card designed to enhance AI, machine learning, and high-performance computing workloads. It fits neatly into Lenovo systems and data center environments, providing the computational boost needed for a variety of intensive applications without unnecessary complexity.

General Information
Brand	Lenovo
Part Number	NVIDIAA30

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 NVIDIA A30 Tensor Core accelerator is built to handle demanding AI, HPC, and data analytics tasks. It is often found in data centers and research labs where intense computation is required. Engineers, data scientists, and researchers benefit from its ability to boost performance and reduce training times. Key Features Equipped with 24GB of high-bandwidth HBM2 memory to manage large datasets efficiently Tensor Cores accelerate mixed-precision computing for faster AI model training Optimized for Lenovo platforms, ensuring reliable integration and performance Supports a variety of AI and HPC applications, from deep learning to scientific simulations Delivers energy-efficient performance to handle sustained workloads This GPU accelerator is commonly deployed in enterprise-grade servers and systems where large-scale AI inference and training tasks are routine. It plays a crucial role in speeding up research cycles and enabling complex computations that would otherwise take much longer.

Use Cases
The NVIDIA A30 Lenovo 24GB HBM2 Tensor Core Accelerator GPU is commonly deployed in data centers and enterprise IT environments that require substantial computational power for AI and scientific workloads. Organizations specializing in machine learning model training and inference benefit from its optimized tensor cores within Lenovo's hardware ecosystem. How It's Used: Accelerating deep learning model training in high-density rack deployments for large enterprises. Enhancing AI inference workloads in data centers supporting real-time analytics applications. Supporting virtualization environments where multiple users share GPU resources for scientific simulations. Enabling scalable HPC applications in research institutions that demand high memory bandwidth. Facilitating edge computing nodes that process large datasets with low latency in industrial automation. By integrating seamlessly with Lenovo systems, this accelerator enhances operational efficiency through optimized resource utilization and scalability. Its deployment enables organizations to manage complex AI and HPC workloads with improved throughput and reduced latency.

NVIDIAA30 Lenovo 24GB HBM2 Tensor Core Accelerator GPU

Product Overview

General Information

Technical Information

Memory

Miscellaneous

Physical Characteristics

Product Description

Use Cases