TESLA A30
Bring accelerated performance to every enterprise workload with NVIDIA A30 Tensor Core GPUs. With NVIDIA Ampere architecture Tensor Cores and Multi-Instance GPU (MIG), it delivers speedups securely across diverse workloads, including AI inference at scale and high-performance computing (HPC) applications. By combining fast memory bandwidth and low-power consumption in a PCIe form factor—optimal for mainstream servers—A30 enables an elastic data center and delivers maximum value for enterprises.
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- DESCRIPTION
- SPECIFICATION
- BIOS / DRIVERS UPDATE
- REQUIREMENT
| ►NVIDIA Ampere Architecture CUDA® Cores | ►Third-Generation NVIDIA NVLink® |
| ►Second-Generation RT Cores | ►Virtualization-Ready |
| ►Third-Generation Tensor Cores | ►PCI Express Gen 4 |
| ►48GB of GPU Memory | ►Data Center Efficiency and Security |
|
FP64 |
5.2 teraFLOPS |
|
FP64 Tensor Core |
10.3 teraFLOPS |
|
FP32 |
10.3 teraFLOPS |
|
TF32 Tensor Core |
82 teraFLOPS | 165 teraFLOPS* |
|
BFLOAT16 Tensor Core |
165 teraFLOPS | 330 teraFLOPS* |
|
FP16 Tensor Core |
165 teraFLOPS | 330 teraFLOPS* |
|
INT8 Tensor Core |
330 TOPS | 661 TOPS* |
|
INT4 Tensor Core |
661 TOPS | 1321 TOPS* |
|
Media engines |
1 optical flow accelerator (OFA) 1 JPEG decoder (NVJPEG) 4 video decoders (NVDEC) |
|
GPU memory |
24GB HBM2 |
|
GPU memory bandwidth |
933GB/s |
|
Interconnect |
PCIe Gen4: 64GB/s Third-gen NVLINK: 200GB/s** |
|
Form factors |
Dual-slot, full-height, full-length (FHFL) |
|
Max thermal design power (TDP) |
165W |
|
Multi-Instance GPU (MIG) |
4 GPU instances @ 6GB each 2 GPU instances @ 12GB each 1 GPU instance @ 24GB |
|
Virtual GPU (vGPU) software support |
NVIDIA AI Enterprise for VMware NVIDIA Virtual Compute Server |