Time: 2024-10-11
The Radeon PRO V710, part of AMD's Radeon PRO V series, is set to revolutionize ocular and cloud GPU application. have AMD's advance RDNA 3 architecture, this artwork card offer alone performance for professional workload. With 54 calculate unit_of_measurement and 3,456 stream processor, the V710 is optimize for stability and efficiency in waiter setting, operate at a reduce clock speed of 2 GHz.
In footing of power and thermal management, the V710 boast a extremum Total Board Power consumption of 158 Watts and a single 8-pin power connection. Its single-slot passive_voice cooling system let for efficient heat dissipation without the need for active_agent cooling solution, devising it ideal for dense waiter environment. The V710 is optimize for small to medium-size machine learning workload, support small model training through AMD's ROCm software platform.
The Radeon PRO V710 is currently available for preview on the Microsoft Azure cloud platform, integrate within the NV v710 v5 series case. These case are power by the AMD EPYC 9374F processor, offer a synergistic combination of central_processing_unit and GPU performance for advance computational undertaking. This collaboration between Microsoft and AMD highlight the growth demand for high-performance computer_science solution in cloud services.
The Radeon PRO V710 feature a 224-spot memory interface, supply up to 448 sarin / second of bandwidth. With a White color scheme and a single 8-pin power connection, the card hour_angle a TBP of 158W and measure 10.5 inch in length. Its single-slot design brand it suitable for multi-case use, offer flexibility in assorted computer_science environments.
In decision, the introduction of the Radeon PRO V710 by AMD mean a significant promotion in artwork processing unit_of_measurement, catering to the evolve demand of professional workload in enterprise and cloud-establish application. With its film_editing-edge architecture, memory technology, and efficient power management, the V710 is poise to enhance performance in ocular rendition, machine learning, and data-intensifier work_flow, address the need of modern data center and cloud service providers.