NVIDIA A30 24GB Tensor Core Data Center GPU

AI inference and high-performance computing at data center scale. Its Ampere Tensor cores serve trained models in production, its real FP64 double precision makes it a genuine HPC accelerator for scientific and engineering computing, and its MIG support lets one card serve multiple workloads or users. It is the mainstream inference-and-HPC tier, below the flagship systems that train large models.

The A30 is the more compute-capable sibling. Both are Ampere data center cards, but the A30 has HBM2 memory at 933 GB/s (versus the A10's GDDR6) and real FP64 double precision for HPC, which the A10 lacks. The A10 leans toward inference and VDI; the A30 toward heavier inference and genuine HPC. Choose the A10 for VDI and lighter inference, the A30 for HPC and demanding inference, and MillionMiner matches them to your workload.

It can do real AI work, but large-model training at scale belongs to the H100 and H200 systems in this catalog. The A30 is the mainstream inference-and-HPC tier: it serves trained models, runs HPC and scientific workloads, and handles multi-tenant compute, but it does not match the flagship cards' HBM3/HBM3e, tensor throughput, or data center NVLink fabric for training large models. Used together, you train on the flagships and serve and compute on A30s.

Multi-Instance GPU partitions the card into isolated instances, as many as four at 6GB each, two at 12GB, or one full 24GB, each with dedicated memory and compute. That lets one A30 serve several inference workloads or users simultaneously with guaranteed resources, which is efficient for multi-tenant inference and mixed data center workloads.

Because it makes the A30 a true HPC card, not just an AI accelerator. FP64 double precision is the high-accuracy format scientific and engineering computing depends on, computational physics, simulation, CFD. Many cards have weak FP64; the A30's genuine double-precision capability is a key reason to choose it for HPC workloads, and a clear differentiator from inference-only cards like the A10.

24GB of HBM2 at 933 GB/s, high-bandwidth memory that benefits both bandwidth-bound inference and HPC, a meaningful step above the GDDR6 cards in the lineup. For workloads that move large amounts of data, that bandwidth is part of what makes the A30 a capable data center compute card.

Yes, via NVLink at 200 GB/s, which connects cards for workloads that outgrow a single GPU, while PCIe Gen4 handles host attach at 64 GB/s. For larger inference or HPC jobs, NVLinked A30s scale beyond one card, and MillionMiner advises on the multi-GPU configuration in the quote.

Yes. It is NVIDIA-certified and supports NVIDIA AI Enterprise and Virtual Compute Server, so it fits managed enterprise deployments and virtualized data center environments. That software support, with MIG, is part of why it suits multi-tenant and enterprise inference and compute.

It is an Ampere-generation data center card, and units may be new or secondary-market depending on availability. MillionMiner verifies each card and confirms its condition in the quote. For its role, inference and HPC, the Ampere generation remains a capable and economical choice below the flagship tier.

Submit your workload, inference, HPC, or multi-tenant compute, and scale through the quote form. A MillionMiner specialist confirms the card, its condition, any MIG, NVLink, or vGPU configuration, and delivery. Every unit is tested before shipment and shipped worldwide DDP with duties handled, with hosting in MillionMiner's own data centers available, and the specialist will tell you honestly if a training-tier system is what your workload needs.