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As the world accelerates toward trillion-parameter AI models, the need for higher memory GPUs has never been more critical. The NVIDIA A100 96GB PCIe OEM is engineered to meet this growing demand—providing unmatched memory bandwidth, performance, and scalability at a significantly more accessible price point for enterprise AI deployment.

Shenzhen, China – June 10, 2025 – As generative AI models continue to expand in complexity and size, Telefly, a high-performance computing solutions provider under Shenzhen Xianghao Communication Equipment Co., Ltd., today announced the launch of its A100 80GB PCIe OEM GPU. Tailored for global enterprise customers and research institutions, this release offers one of the most powerful PCIe-based accelerators available on the market—at an optimized OEM cost.

Shenzhen, China – June 10, 2025 – Telefly, a leading provider of GPU and AI server solutions under Shenzhen Xianghao Communication Equipment Co., Ltd., has officially released the A100 40GB PCIe OEM graphics card, offering a cost-effective yet powerful solution for enterprises focused on AI model training, deep learning, and large-scale data processing.

A GPU (Graphics Processing Unit) is a specialized processor originally designed to accelerate graphics rendering. Unlike a CPU (Central Processing Unit), which handles a wide variety of general-purpose tasks, a GPU is optimized for handling many operations in parallel — especially those involving matrix and vector computations, which are common in image processing, 3D rendering, and more recently, machine learning.

Nvidia's AD102 GPU has been making waves in the graphics processing industry, pushing the boundaries of performance and innovation. Here's a look at some of the latest news surrounding this powerful chip.

In the rapidly evolving landscape of artificial intelligence (AI) and robotics, NVIDIA has once again set the bar with the introduction of its Jetson AGX Orin 32GB production module. This powerful module is not just an upgrade; it represents a quantum leap in performance, efficiency, and versatility, catering to the needs of developers, engineers, and enterprises striving to push the boundaries of what's possible with AI-driven products.