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Nvidia A30
Nvidia A30

Nvidia A30

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Код товара: Nvidia A30 GPU
40 728 ₽
В наличии много 1000 шт

NVIDIA A30 is a high-performance GPU designed for AI inference, HPC, and cloud computing. It's ideal for data centers, offering exceptional energy efficiency for demanding computational tasks.


Nvidia A30 Product Highlights
  • High-performance GPU
  • AI inference capability
  • Energy-efficient
  • Ideal for HPC
  • Cloud computing optimized

Product Features Comparison
Feature NVIDIA A30 NVIDIA V100 NVIDIA T4 NVIDIA A100 AMD Radeon VII Google TPU v3 Intel Habana Gaudi
CUDA Cores 10608 5120 2560 6912 3840 N/A N/A
Memory 24GB HBM2 32GB HBM2 16GB GDDR6 40GB HBM2 16GB HBM2 High Bandwidth N/A
TFLOPS 19.5 15.7 8.1 54.1 13.8 45 90
TDP 250W 300W 70W 400W 295W 300W 300W
Process Node 7nm 12nm 12nm 7nm 7nm N/A N/A

Nvidia A30 Product Application Scenarios
  • Data center AI workloads
  • Cloud-based computing
  • High-Performance Computing (HPC)

Optional Add-ons
Accessory Model Description
NVIDIA NVLink Bridge High-speed interconnect for multi-GPU setups
NVIDIA GPU Rackmount Efficient mounting solution for data center GPUs
NVIDIA Data Center Manager Software for GPU monitoring and management

Get More Information

Discover unbeatable prices and fast shipping for the NVIDIA A30. Access the detailed Nvidia A30 datasheet and ensure you're getting the best deal with our reliable delivery service. Need assistance? Our free live chat support is here to help. For more information about the product and pricing, contact us via live chat or email us at sales@router-switch.com.

Характеристики

AI Performance 5.0 TFLOPS
Brand NVIDIA
Compute Capability 8.0
Cooling Solution Passive
CUDA Cores 24,576
ECC Memory Yes
Form Factor PCIe Full Height/Full Length
FP64 Peak Performance 1.03 TFLOPS
GPU Memory 24 GB GDDR6
Interconnect PCIe Gen4
Maximum Displays 4
Memory Bandwidth 933 GB/s
Model Name A30
Multi-GPU Support Yes, NVLink
Peak FP16 Performance 10.3 TFLOPS
Peak INT8 Performance 23.1 TOPS
Power Consumption 165W
Product Type GPU
Tensor Cores 320
Unified Memory Architecture Yes

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