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China HBM2 Memory A30 24GB Nvidia Ampere Data Center GPU For Scientific Computing for sale

HBM2 Memory A30 24GB Nvidia Ampere Data Center GPU For Scientific Computing

Name: HBM2 Memory A30 24GB Nvidia Ampere Data Center GPU For Scientific Computing
Brand: Beijing Plink AI Technology Co., Ltd

HBM2 Memory A30 24GB Nvidia Ampere Data Center GPU For Scientific Computing NVIDIA A30 Data Center Gpu NVIDIA Ampere A30 Data Center Gpu Versatile compute acceleration for mainstream enterprise servers. AI Inference and Mainstream Compute for Every Enterprise 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

Place of Origin China

Keyword HBM2 Memory A30 24GB Nvidia Ampere Data Center GPU For Scientific Computing

FP16 Tensor Core 165 teraFLOPS | 330 teraFLOPS*

INT8 Tensor Core 330 TOPS | 661 TOPS*

Packaging Details 4.4” H x 7.9” L Single Slot

FP32 0.3 teraFLOPS

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Product Description

HBM2 Memory A30 24GB Nvidia Ampere Data Center GPU For Scientific Computing

NVIDIA A30 Data Center Gpu

NVIDIA Ampere A30 Data Center Gpu

Versatile compute acceleration for mainstream enterprise servers.

AI Inference and Mainstream Compute for Every Enterprise

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.

NVIDIA A30 Data Center Gpu Technical Specifications

GPU Architecture	NVIDIA Ampere
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	933 GB/s
Interconnect	PCIe Gen4: 64GB/s
Max thermal design power (TDP)	165W
Form Factor	Dual-slot, full-height, full-length (FHFL)
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

High-Performance Computing

Data scientists need to be able to analyze, visualize, and turn massive datasets into insights. But scale-out solutions are often bogged down by datasets scattered across multiple servers.

Accelerated servers with A30 provide the needed compute power—along with large HBM2 memory, 933GB/sec of memory bandwidth, and scalability with NVLink—to tackle these workloads. Combined with NVIDIA InfiniBand, NVIDIA Magnum IO and the RAPIDS™ suite of open-source libraries, including the RAPIDS Accelerator for Apache Spark, the NVIDIA data center platform accelerates these huge workloads at unprecedented levels of performance and efficiency.