Gigabyte NVIDIA A30 24GB PCIe GPU

The Gigabyte NVIDIA A30 24GB PCIe GPU is a professional-grade accelerator built on NVIDIA's Ampere architecture, designed to address the demanding compute requirements of modern enterprise datacenters. Featuring 24 GB of HBM2 memory with a 3,072 GB/s memory bandwidth, the A30 delivers exceptional throughput for memory-intensive AI inference, high-performance computing, and data analytics workloads. The card connects via a PCIe Gen4 x16 interface, enabling seamless integration into standard server platforms without requiring proprietary interconnects.

At its core, the A30 incorporates 3,584 CUDA cores alongside 224 Tensor Cores (third-generation), delivering up to 165 TOPS of INT8 inference performance and 10.3 TFLOPS of FP64 compute. Multi-Instance GPU (MIG) technology allows the A30 to be partitioned into up to four independent MIG instances, each with dedicated memory and compute resources, enabling secure multi-tenant workload isolation across shared infrastructure. This flexibility makes the GPU particularly effective in cloud service environments and virtualized datacenter deployments.

Manufactured under the Gigabyte enterprise GPU portfolio with part number 900-2G300-0010-000, the A30 operates within a 165 W TDP envelope and draws power via dual 8-pin connectors, fitting within standard server power budgets. The passive cooling design is engineered for deployment in rack-mounted server chassis with adequate airflow, making it fully compatible with major server platforms. Enterprise teams across the UAE, GCC, EMEA, and APAC regions procure this GPU through Omnixon Global to accelerate AI model serving, scientific simulation, and large-scale data processing pipelines.

Ideal for

• AI inference serving for natural language processing and computer vision models in production datacenter environments
• High-performance computing workloads including molecular dynamics, climate modeling, and computational fluid dynamics requiring FP64 precision
• Multi-tenant GPU virtualization deployments leveraging MIG partitioning to isolate workloads across enterprise cloud infrastructure
• Large-scale data analytics and in-database acceleration for real-time business intelligence pipelines
• Medical imaging and genomics research workflows demanding high memory bandwidth and mixed-precision compute
• Training and fine-tuning of mid-scale deep learning models in on-premises enterprise AI platforms

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.