NVIDIA GeForce RTX 4080 16GB
Ada Lovelace PCIe 2022 4nm
FP32
48.7
TFLOPS
VRAM
16 GB
TDP
320 W
152.3 TFLOPS/kW
Bandwidth
717 GB/s
memory
Performance Metrics
Peak theoretical throughput by precision type
| Precision | Peak TFLOPS | Efficiency |
|---|---|---|
| INT8 | 195.0 | 0.609 TFLOPS/W |
| FP8 | 195.0 | 0.609 TFLOPS/W |
| FP16 | 97.5 | 0.305 TFLOPS/W |
| BF16 | 97.5 | 0.305 TFLOPS/W |
| TF32 | 48.7 | 0.152 TFLOPS/W |
| FP32 | 48.7 | 0.152 TFLOPS/W |
| FP64 | 0.7 | 0.002 TFLOPS/W |
FP8 Efficiency
0.609 TFLOPS/W
195.0 TFLOPS / 320W
FP16 Efficiency
0.305 TFLOPS/W
97.5 TFLOPS / 320W
FP32 Efficiency
0.152 TFLOPS/W
48.7 TFLOPS / 320W
Power Specifications
TDP
320 W
Max Power
368 W
Power Connector
PCIe 16-pin
Cooling
Air
Memory Specifications
Capacity
16 GB
Type
--
Bandwidth
717 GB/s
Interface
--
Hardware & Design
Form Factor
PCIe
Architecture
Ada Lovelace
Process Node
4nm
Launch Year
2022
Variant
16GB
Market Segment
Data Center
Documentation & Resources
Common Use Cases
General Compute AI/ML Workloads Data Processing
The NVIDIA GeForce RTX 4080 is optimized for high-performance computing tasks with Ada Lovelace architecture delivering 48.74 TFLOPS of compute power.
Where to Rent
| Provider | Price/hr | |
|---|---|---|
RunPod | $0.27 | View → |
Prices shown are approximate. Click through for current pricing.
Similar GPUs
Stay Updated on GPU Releases
Get notified when new GPUs are added or specifications are updated.
Loading verification...
No spam, unsubscribe anytime.