Cisco UCSC-GPU-A30 | A30 Tensor Core GPU, 24GB HBM2, 180W Passive

Q: What servers is the UCSC-GPU-A30 compatible with?
A: This GPU is designed for Cisco UCS C-Series rack servers including C240 M6 and M7 models. It requires a PCIe 4.0 x16 slot and is double-wide, occupying two slots. It can be installed in Riser 1A slot 2, Riser 2A slot 5, or Riser 3C slot 7, with up to three GPUs supported per server depending on configuration.

Q: What is Multi-Instance GPU (MIG) technology?
A: MIG allows the A30 to be partitioned into up to four fully isolated GPU instances, each with dedicated high-bandwidth memory, cache, and compute cores. This enables IT administrators to provide right-sized GPU acceleration for multiple workloads simultaneously, optimizing utilization and providing secure resource isolation for AI inference and HPC tasks.

Q: What workloads is the A30 optimized for?
A: The A30 is optimized for AI inference at scale, deep learning training, high-performance computing applications, and data analytics. Its combination of 24GB HBM2 memory, 933GB/s bandwidth, and Tensor Core acceleration makes it well-suited for AI model inference, scientific simulations, and enterprise workloads requiring GPU acceleration in mainstream servers.

Q: Why is passive cooling used for this GPU?
A: The A30 uses passive (fanless) cooling designed for data center rack servers with sufficient airflow. This design reduces noise, eliminates fan failure points, and integrates with the server's existing cooling infrastructure. The 180W TDP enables efficient operation in enterprise environments while maintaining optimal thermal performance.

Q: Does this GPU support virtualization?
A: Yes, the A30 supports NVIDIA virtual GPU (vGPU) software, enabling GPU acceleration for virtual machines and VDI deployments. Combined with MIG support, administrators can provision virtualized GPU resources with hardware-level isolation, making it ideal for cloud service providers and enterprise virtualization environments.