NVIDIA A30 Vs T4 Vs V100 Vs A100 Vs RTX 8000 GPU Cards

When it comes to GPU cards, NVIDIA offers a wide range of options tailored for various applications and performance requirements. Let's compare some of the popular GPU cards from NVIDIA: A30, T4, V100, A100, and RTX 8000.


The NVIDIA A30 is designed for mainstream AI and data analytics workloads. It features 24 GB of GDDR6 memory and 6848 CUDA cores, making it suitable for tasks such as deep learning inference, data analytics, and virtual desktop infrastructure (VDI).


The NVIDIA T4 is a versatile GPU optimized for AI inference, deep learning training, and virtual desktops. It comes with 16 GB of GDDR6 memory and 320 Tensor Cores, offering efficient performance for a wide range of machine learning tasks.


The NVIDIA V100 is a flagship GPU renowned for its performance in AI and scientific computing. It boasts up to 32 GB of HBM2 memory and 5120 CUDA cores, delivering unparalleled compute power for deep learning training, inference, and high-performance computing (HPC) applications.


The NVIDIA A100 is NVIDIA's most advanced GPU, built on the Ampere architecture. With up to 80 GB of HBM2 memory and 6912 CUDA cores, the A100 is optimized for AI training and inference, offering groundbreaking performance for deep learning workloads.


The NVIDIA RTX 8000 is a professional-grade GPU designed for demanding visualization and rendering tasks. It features 48 GB of GDDR6 memory and 4608 CUDA cores, providing exceptional performance for applications such as computer-aided design (CAD), scientific visualization, and virtual reality (VR) content creation.

Comparison Table

GPU Card Memory CUDA Cores Tensor Cores Memory Bandwidth Peak Half Precision (FP16) Performance Peak Single Precision (FP32) Performance Optimized For
NVIDIA A30 24 GB GDDR6 6848 N/A 624 GB/s 53.2 TFLOPS 26.6 TFLOPS Mainstream AI, Data Analytics
NVIDIA T4 16 GB GDDR6 320 320 320 GB/s 8.1 TFLOPS 8.1 TFLOPS AI Inference, Deep Learning Training
NVIDIA V100 32 GB HBM2 5120 N/A 900 GB/s 125 TFLOPS 15.7 TFLOPS Deep Learning Training, Inference, HPC
NVIDIA A100 Up to 80 GB HBM2 6912 N/A 1.6 TB/s 312 TFLOPS 19.5 TFLOPS AI Training, Inference
NVIDIA RTX 8000 48 GB GDDR6 4608 N/A 624 GB/s 63.8 TFLOPS 10.1 TFLOPS Visualization, Rendering


The comparison table provides an overview of the key specifications and performance metrics of NVIDIA A30, T4, V100, A100, and RTX 8000 GPU cards. Depending on the specific requirements of your workload, you can choose the GPU card that offers the optimal balance of memory capacity, compute power, and specialized features.



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