Buy NVIDIA A30 Enterprise Tensor Core 24GB 165W Online Best Price

NVIDIA A30 Enterprise Tensor Core 24GB 165W

$4,000.00

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✓ GPU memory: 24GB HBM2

✓ GPU memory bandwidth: 933GB/s

✓ Interconnect: PCIe Gen4: 64GB/s, Third-gen NVLINK: 200GB/s**

✓ Form factor: 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, NVIDIA Virtual Compute Server

✓ Warranty: 2 year manufacturer repair or replace

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NVIDIA A30 Enterprise Tensor Core 24GB 165W: Enterprise-Class Power for AI & HPC Demands

The NVIDIA A30 Enterprise Tensor Core 24GB 165W is built for businesses that rely on high-performance computing, artificial intelligence, and large-scale analytics. With its Ampere architecture and 24GB of HBM2 memory, the A30 delivers breakthrough efficiency for AI training and inference, all within a power envelope suitable for mainstream servers. Whether you’re optimizing models or deploying real-time inference, this GPU brings unmatched versatility and performance.

A30 Tensor Core GPU Specifications

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 factor 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
NVIDIA Virtual Compute Server

Designed to Scale with Modern Workloads

The A30 is not just a graphics card—it’s a data center accelerator, engineered to drive compute-heavy workloads without compromising power efficiency. It’s ideal for cloud service providers, enterprise IT, and research labs that require dependable GPU compute power. For even greater memory and rendering capability, the NVIDIA Quadro RTX 8000 offers a powerful alternative for visual computing professionals and simulation-heavy workflows.

Efficient AI Infrastructure Starts Here

This GPU supports multi-instance GPU (MIG) technology, allowing one A30 to handle multiple workloads in isolation—maximizing uptime and hardware utilization. With secure, scalable architecture, it delivers enterprise reliability across all deployments. If you’re looking for performance-per-watt gains with enterprise-focused design, consider the NVIDIA L20 Enterprise 48GB—an excellent complement to your infrastructure strategy.

Engineered for the AI-Powered Future

With its low-latency, high-throughput performance and reduced power draw, the NVIDIA A30 is an investment in the future of enterprise AI. It’s not just about speed—it’s about smart, sustainable growth in the most compute-demanding environments.

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