Gigabyte lancia le schede grafiche AMD Radeon PRO serie W7000
GIGABYTE stands as the AMD professional graphics partner in the market, with a proven ability to design and manufacture the entire Radeon PRO series. Our dedication to quality products, unwavering business commitment, and comprehensive customer service empower us to deliver professional-grade GPU solutions, expanding user’s choices in workstation and AI computing.
Crafted with premium-grade components, the new GIGABYTE professional graphics cards deliver incredible stability and endurance. Con fino a 48 GB of GDDR6 memory per card, users can achieve a memory capacity of up to 192 GB in a system with four cards installed. Additionally, ECC memory error correction technology ensures accurate and reliable computing results, providing a significant advantage for professional workstation computing and large AI model workloads.
From industrial product design to automotive and aerospace, the new graphics cards unleash the power of exceptional performance and speed to streamline design and manufacturing workflows. They enable professional users to tackle demanding, large-scale photorealistic architectural, ingegneria, and construction projects in real-time while multitasking with ease.
Featuring support for DisplayPort 2.1 technology and powered by the AMD Radiance Display Engine, the new workstation graphics cards deliver stunning visuals with up to 68 billion colors at up to 8K 165 Hz, delivering exceptional color accuracy and clarity and full coverage of the REC2020 color space.
Designed for unwavering stability for extended operation, the new workstation graphics cards undergo GIGABYTE’s rigorous high-quality verification and specialized AI computing scenario simulation testing, empowering the graphics cards to excel in both professional workstation and AI applications.
To further enhance work efficiency, GIGABYTE Technology introduces the AI TOP UTILITY exclusive application. Its data-visualized intuitive interface allows users to easily grasp LLM optimization progress and hardware status, and quickly adjust relevant fine-tuning settings, significantly simplifying operation procedures and efficiently driving AI workloads.