The NVIDIA GeForce GTX 970 delivers exceptional gaming performance and visual fidelity for enthusiasts. Featuring 4GB of high-speed GDDR5 memory and a robust PCIe interface, this graphics card supports advanced rendering techniques and high-resolution displays. It is designed to handle demanding modern titles with smooth frame rates and detailed textures, making it a reliable choice for PC gaming setups requiring powerful discrete graphics capabilities. Learn More
The MSI NVIDIA GeForce GTX 970 is a high-performance graphics card designed for demanding gaming and creative applications. Featuring 4GB of GDDR5 memory and NVIDIA's Maxwell architecture, it delivers exceptional frame rates and visual fidelity. This card supports advanced features like DirectX 12 and OpenGL 4.5, ensuring compatibility with the latest titles. Its robust cooling solution maintains optimal temperatures during intensive workloads, providing a stable and quiet computing experience for enthusiasts and professionals alike. Learn More
The Cisco UCSC-GPU-A100-80 is a high-performance graphics processing unit designed for intensive data center workloads. Featuring the NVIDIA Tesla A100 architecture, this GPU provides 80GB of HBM2e memory to accelerate AI, machine learning, and HPC applications. With a 300W power consumption and passive cooling design, it ensures efficient operation within compatible Cisco UCS servers. This component is essential for organizations requiring scalable compute power for complex analytical tasks and deep learning models. Learn More
The Cisco UCSC-GPU-T4-16 is a high-performance graphics processing unit designed for data center acceleration and virtualization workloads. Featuring the NVIDIA T4 architecture, this PCIe card delivers up to 16GB of GDDR6 memory to handle intensive AI inference, machine learning, and video transcoding tasks. With a 75W power consumption profile, it offers efficient performance for server environments requiring robust graphical compute capabilities without excessive thermal output. Learn More