NVIDIA RTX 3080

8,704

CUDA Cores

10GB

VRAM

760

GB/s

Consumer/Gaming
Updated April 21, 2026 • 2026 Edition
RTX 3080 GPU Specifications

Technical Specifications

8,704

CUDA Cores

1440

Base MHz

1710

Boost MHz

10GB GDDR6X

320-bit bus

Performance

40

FP32 TFLOPS

80

FP16 TFLOPS

320W

TDP

Cloud Availability

1

Available Instances

$0.09/hr

Starting Price

Detailed Specifications

Architecture Ampere (Unknown)
Release Date 2020-09-17
Launch Price $699.00
Process 8nm
Transistors 28 Billion

AI Features

Gen 3

Tensor Cores

Disabled

Transformer Engine

Not Supported

Flash Attention

About RTX 3080 GPU

The NVIDIA RTX 3080 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 10GB of VRAM and 8,704 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.

Released in 2020, the RTX 3080 features Ampere architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.

When considering cloud rental options for the RTX 3080, pricing starts at $0.09/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 760 GB/s enabling fast data transfer for large datasets.

The RTX 3080 features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 8nm manufacturing process ensures efficient power consumption relative to performance output.

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External Resources

Learn more about GPUs from these authoritative sources:

NVIDIA CUDA Documentation →

Official CUDA programming guide

NVIDIA GPU Specifications →

Official NVIDIA GPU specs

TechPowerUp GPU Database →

Comprehensive GPU specifications

CUDA Compute Capability Guide →

GPU compute capability reference

Top GPUs for Training and Inference

Category Rank 1 Rank 2 Rank 3
Best for Training NVIDIA H200 NVIDIA H100 NVIDIA B200
Best for Inference NVIDIA A40 NVIDIA A100 NVIDIA A10

Compare GPU specifications and cloud instances to find the best GPU for your workload.