NVIDIA Geforce RTX 4080 16GB Specifications for AI Enthusiasts
The NVIDIA GeForce RTX 4080 is a graphics card released in 2022, featuring the Ada Lovelace architecture based on the AD103 GPU. The set of retail cards in the NVIDIA RTX 40-series cards is RTX 4090, RTX 4080 SUPER, RTX 4080, RTX 4070 Ti SUPER, RTX 4070 Ti, RTX 4070 SUPER, RTX 4070, RTX 4060 Ti, and the RTX 4060. The NVIDIA L40 GPU and L4 GPUs are also based on the same Ada Architecture aimed at the data center. While primarily aimed at gamers, the RTX 4080 also offers strong capabilities for machine learning tasks, particularly inference and training workloads that benefit from its large memory and high core count. It uses a PCI-Express 4.0 x16 host interface.
- GPU Architecture: ada
- Hardware-Accelerated GEMM Operations:FP16 FP32 BF16 FP8 INT8 INT4 TF32 FP64 INT1
- CUDA Compute Capability : 8.9
Specifications for NVIDIA Geforce RTX 4080
Raw Performance | |
---|---|
FP32 TFLOPs: 97.4 | |
FP16 TFLOPs: 398.8 | |
Tensor Core Count: 304 | |
Memory Capacity (GB): 16 | |
Memory Bandwidth (GB/s): 716.8 | |
Int8 TOPs: 779.82 |
Real-time NVIDIA Geforce RTX 4080 GPU Prices
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- https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf
- https://images.nvidia.com/aem-dam/Solutions/Data-Center/l4/nvidia-ada-gpu-architecture-whitepaper-v2.1.pdf
- https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080/
- https://lambdalabs.com/blog/nvidia-rtx-4090-vs-rtx-3090-deep-learning-benchmark
- https://www.nvidia.com/en-us/geforce/news/geforce-rtx-4090-out-now/