NVIDIA A30
The NVIDIA A30 is a mainstream compute GPU based on the Ampere architecture, featuring 24GB HBM2e memory and 933 GB/s bandwidth. It supports MIG (up to 4 instances) and FP64 double-precision computing, making it ideal for AI inference, model fine-tuning, and database acceleration.
Core Specifications
CompleteSpecifications
| architecture | Ampere |
| Shape | PCIe Dual-Slot Full-Height Full-Length |
| GPU VRAM | 2 4GB HBM2e |
| Memory Bandwidth | 933 GB/s |
| TF32 Tensor Core | 165 TFLOPS* (sparse) |
| FP16/BF16 Tensor Core | 330 TFLOPS* (sparse) |
| FP64 | 5.2 TFLOPS | FP64 Tensor Core 10.3 TFLOPS |
| MIG | Maximum of 4 instances |
| Power Consumption | 165W |
| Location | AI Inference, Model Fine-tuning, Database Acceleration |
* Sparse mode specifications: Dense performance is half that of sparse specs. Specs sourced from NVIDIA's official product page; actual configuration subject to factory settings.
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The NVIDIA A30 is a mainstream compute GPU based on the Ampere architecture, featuring 24GB HBM2e memory and 933 GB/s bandwidth. It supports MIG (up to 4 instances) and FP64 double-precision computing, making it ideal for AI inference, model fine-tuning, and database acceleration.
| architecture | Ampere |
| Shape | PCIe Dual-Slot Full-Height Full-Length |
| GPU VRAM | 2 4GB HBM2e |
| Memory Bandwidth | 933 GB/s |
| TF32 Tensor Core | 165 TFLOPS* (sparse) |
| FP16/BF16 Tensor Core | 330 TFLOPS* (sparse) |
| FP64 | 5.2 TFLOPS | FP64 Tensor Core 10.3 TFLOPS |
| MIG | Maximum of 4 instances |
| Power Consumption | 165W |
| Location | AI Inference, Model Fine-tuning, Database Acceleration |
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