NVIDIA A30 Tensor core GPUs provide high-value acceleration for a variety of workloads, including AI inference, deep learning, high-performance computing, high-performance data analytics, and more. A30 provides performance improvements over the NIDIA V100 and NVIDIA T4 GPUs in all these disciplines.
A30 with Multi-Instance GPU (MIG) technology maximizes the utilization of GPU-accelerated infrastructure. With MIG, an A30 GPU can be partitioned into as many as four independent instances, giving multiple users access to GPU acceleration. This makes A30 the ideal GPU for multi-tenant environments supporting diverse workflows.
Ideal Workloads for A30
Unsure what to get? Have technical questions? Contact us and we'll help you design a custom system which will meet your needs.
Thinkmate offers discounts to academic institutions and students on purchases of Thinkmate Systems. Contact us for details.
We offer rapid GSA scheduling for custom configurations. If you have a specific hardware requirement, we can have your configuration posted on the GSA Schedule within 2-4 weeks.