Cisco HX-GPU-A30 | A30 24GB HBM2e Tensor Core GPU, PCIe 4.0, 180W Passive

Q: What workloads is the HX-GPU-A30 optimized for?
A: The A30 GPU is designed for diverse enterprise AI workloads including scalable AI inference, machine learning training, high-performance computing applications, and data analytics. Its balanced compute and memory configuration makes it ideal for mainstream server deployments requiring AI acceleration without extreme power demands.

Q: What is Multi-Instance GPU (MIG) and how does it benefit deployment?
A: MIG technology allows the A30 to be partitioned into up to four fully isolated GPU instances, each with dedicated memory, cache, and compute cores. This enables multiple workloads or users to securely share a single GPU with guaranteed quality of service, maximizing utilization and providing right-sized acceleration for various job sizes.

Q: Which Cisco platforms support the HX-GPU-A30?
A: The HX-GPU-A30 is supported on Cisco HyperFlex 240 and 245 M6 platform series running HX Data Platform Release 5.0(2b) or later with Qualified FI/Server Firmware 4.2(2d). It is designed specifically for integration with Cisco HyperFlex hyperconverged infrastructure.

Q: Why is the A30 passively cooled at 180W?
A: The passive cooling design allows the A30 to operate quietly and reliably in standard enterprise server environments with chassis-based airflow. The 180W TDP provides a balance between compute performance and energy efficiency, making it suitable for mainstream data center deployment without requiring active cooling solutions.

Q: What precision formats does the A30 support?
A: The A30 Tensor Cores support a wide range of precision formats including FP64, FP32, TF32 (Tensor Float 32), BFLOAT16, FP16, and INT8, enabling acceleration across diverse AI training, inference, and HPC workloads. TF32 provides up to 10X faster performance than FP32 with zero code changes for AI applications.