CUDA Cores
VRAM
GB/s
4,352
CUDA Cores
1350
Base MHz
1545
Boost MHz
11GB GDDR6
352-bit bus
40
FP32 TFLOPS
80
FP16 TFLOPS
250W
TDP
1
Available Instances
$0.08/hr
Starting Price
| Architecture | Turing (Unknown) |
| Release Date | 2018-09-27 |
| Launch Price | $999.00 |
| Process | 12nm |
| Transistors | 18.6 Billion |
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
The NVIDIA RTX 2080 Ti is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 11GB of VRAM and 4,352 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2018, the RTX 2080 Ti features Turing 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 2080 Ti, pricing starts at $0.08/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 616 GB/s enabling fast data transfer for large datasets.
The RTX 2080 Ti features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 12nm manufacturing process ensures efficient power consumption relative to performance output.
Get started quickly with these trusted GPU cloud providers. We may earn a commission when you sign up.
Learn more about GPUs from these authoritative sources:
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
| 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.