GIGABYTE Radeon AI PRO R9700 AI TOP 32G Graphics Card- 32GB GDDR6, 256 bit, PCI-E 5.0, 2920MHz Core Clock, 3 x DP, 1 x HDMI, GV-R9700AI TOP-32GD 1.1 Gigabyte
1.371,99 EUR 1.339,79 EUR
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GIGABYTE Radeon AI PRO R9700 AI TOP 32G Graphics Card- 32GB GDDR6, 256 bit, PCI-E 5.0, 2920MHz Core Clock, 3 x DP, 1 x HDMI, GV-R9700AI TOP-32GD 1.1
Gigabyte Radeon AI PRO R9700 AI TOP 32G ? Erleben Sie professionelle Grafik? und Rechenleistung mit dieser hochwertigen Workstation?Grafikkarte. Sie bietet enorme Leistungsf?higkeit f?r anspruchsvolle Aufgaben wie KI?Workloads, 3D?Rendering oder datenintensive Visualisierungen und sorgt f?r klare Darstellung und stabile Performance. Mit gro?z?gigem Grafikspeicher und durchdachtem Design ist sie ideal f?r kreative Profis, Entwickler oder Workstation?Setups aller Art.
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Grafikchip: Radeon AI PRO R9700
Speicher: 32 GB (GDDR6, 256 Bit)
belegte Slots: 2 Slots
GPU Boost-Takt: 2920 MHz
The "VGA Gigabyte Radeon AI PRO R9700 32GB AI TOP" is a high-end graphics card from Gigabyte, designed for demanding visual computing and AI-oriented workloads. Based on a Radeon GPU platform, this card combines powerful parallel processing with a generous 32 GB of graphics memory, enabling smooth handling of large datasets, complex 3D scenes, and multi-monitor setups. The large memory capacity is particularly advantageous for content creators, engineers, and AI developers who need to work with high-resolution textures, detailed models, or memory-intensive algorithms without running into bottlenecks.
In typical use, this card is suitable for professional applications such as 3D rendering, video editing, CAD and visualization, as well as AI-related tasks like model inference, data analysis acceleration, or image and signal processing. It can also serve as a robust foundation for high-end workstations that require stable performance over long periods, for example in architecture, industrial design, media production, and scientific visualization. Depending on system configuration, it can drive multiple high-resolution displays, contributing to efficient multitasking and more ergonomic workflows.
Gigabyte generally focuses on reliable cooling designs, optimized PCB layouts and power delivery, and software tools for monitoring and tuning. On graphics cards, this typically translates into efficient heat dissipation and stable performance under load, which is important for both professional and enthusiast users. The "AI PRO" and "AI TOP" designations underline the orientation towards workloads where sustained compute power, memory capacity, and stability are more important than short benchmark peaks, allowing users to complete complex projects more quickly and with fewer interruptions.
As a manufacturer, Gigabyte is an established player in the PC hardware market with long experience in graphics cards, motherboards, and complete systems. The company communicates initiatives around product durability and reliability, which can help reduce electronic waste through longer product life cycles. Many Gigabyte products are designed with energy efficiency in mind, which can contribute to lower power consumption at the system level compared to less efficient solutions in the same performance class. By choosing a high-performance card that is engineered for stability and efficiency, customers can help ensure that fewer resources are wasted over time due to premature failures or frequent replacements.
Sustainability measures in the IT sector often include responsible materials sourcing, efforts to reduce packaging waste, and designs that favor longer usable life. While specific certifications or detailed environmental metrics for this exact model are not listed here, investing in established manufacturers that publicly address quality, reliability, and efficiency can be a practical way for customers to support more responsible technology use. By selecting a powerful, durable graphics card like this one, buyers contribute to a more sustainable hardware strategy: one well-chosen, long-lasting component can often replace several short-lived alternatives, reducing both resource consumption and electronic waste over the long term.
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