NVIDIA A30 24GB PCIe Tensor Core GPU
Brand: NVIDIA | Category: GPUs
SKU: 900-2G133-0080-000
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About the NVIDIA A30 24GB PCIe Tensor Core GPU
The NVIDIA A30 24GB PCIe Tensor Core GPU from NVIDIA is enterprise-grade GPUs hardware built for data centers. It features 24GB capacity, PCIe Gen4 x16 interface. The NVIDIA A30 GPU brings proven Ampere architecture efficiency to data center inference and general-purpose compute workloads across enterprise environments. Built with 24GB of HBM2e memory and 933 GB/s bandwidth, this PCIe Gen4 accelerator handles real-time AI inference, machine learning pipelines, and mixed-precision workloads without excessive power draw—165W TDP keeps cooling and infrastructu... Available in brand new condition. NVIDIA gpus products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
Technical Specifications
| Brand | NVIDIA |
| Category | GPUs |
| SKU | 900-2G133-0080-000 |
| Condition | New |
| Capacity | 24GB |
| Interface | PCIe Gen4 x16 |
Frequently Asked Questions about NVIDIA A30 24GB PCIe Tensor Core GPU
What does the NVIDIA A30 24GB PCIe Tensor Core GPU do?
The NVIDIA A30 24GB PCIe Tensor Core GPU accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
What are the headline specs of the NVIDIA A30 24GB PCIe Tensor Core GPU?
Key specifications for the NVIDIA A30 24GB PCIe Tensor Core GPU: new condition; brand NVIDIA; architecture Ampere; model A30; memory 24GB HBM2e; memory bandwidth 933 GB/s; fp16 performance 165 TFLOPS. Manufacturer part number 900-2G133-0080-000. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the NVIDIA A30 24GB PCIe Tensor Core GPU compatible with my infrastructure?
The NVIDIA A30 24GB PCIe Tensor Core GPU requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.