NVIDIA 6x GeForce RTX 5090 vs NVIDIA GeForce RTX 3080 12GB
            NVIDIA 6x GeForce RTX 5090
            
                $11,994
            
        
    
            NVIDIA GeForce RTX 3080 12GB
            
                $999
            
        
    | 6x 21760 Shaders 192GB (6x 32GB) GDDR7 2407MHz | 8960 Shaders 12GB GDDR6X 1710MHz | 
| Peak AI Performance 20.11 PFLOPS FP4 Tensor Sparse | Peak AI Performance 980.58 TOPS INT4 Tensor Sparse | 
| FP32 628.52 TFLOPS | FP32 30.64 TFLOPS | 
| FP16 628.52 TFLOPS | FP16 30.64 TFLOPS | 
| Form Factor PCIe Card 6x 2.1-Slots | Form Factor PCIe Card 2.0-Slots | 
| TDP 3450W | TDP 350W | 
| Power Connectors - - - 1x 16-Pin 12VHPWR | Power Connectors - - 1x 12-Pin - | 
| GB6 OpenCL N/A 0% | GB6 OpenCL N/A 0% | 
| GB6 Metal N/A 0% | GB6 Metal N/A 0% | 
| GB6 Vulkan N/A 0% | GB6 Vulkan N/A 0% | 
| GB5 OpenCL N/A 0% | GB5 OpenCL 186,590 61% | 
| GB5 CUDA N/A 0% | GB5 CUDA 207,975 59% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 125,525 61% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 595 78% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            20.11 PFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            980.58 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
| 
                                            FP4
                                         
                                            10.06 PFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            20.11 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            5.03 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            10.06 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            2.51 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            5.03 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            628.52 TFLOPS
                                            
                                                
                                            
                                         
                                            2.51 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            5.03 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            1.26 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            2.51 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            30.64 TFLOPS
                                            
                                                
                                            
                                         
                                            122.57 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            245.15 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            61.29 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            122.57 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            628.52 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            30.64 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            9.82 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            480 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            628.52 TFLOPS
                                            
                                                
                                            
                                         
                                            1.26 PFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            2.51 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            30.64 TFLOPS
                                            
                                                
                                            
                                         
                                            61.29 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            122.57 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            628.52 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.26 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            30.64 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            61.29 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            490.29 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            980.58 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            5.03 POPS
                                            
                                                 Tensor
                                            
                                         
                                            10.06 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            245.15 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            490.29 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            628.52 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            15.32 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            317.7 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            46.2 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            423.632 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            191.52 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            1636.76 GTexel/s
                                         | Texture
                                            Fillrate 
                                            478.8 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureBlackwell | ArchitectureAmpere | 
| FamilyGeForce 50 | FamilyGeForce 30 | 
| Codename NV192 GB202 Variant GB202-300-A1 | Codename NV172 GA102 Variant GA102-220-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/6/2025 | Release Date 1/27/2022 | 
| Foundry TSMC - | Foundry Samsung - | 
| Fabrication Node 4NP - | Fabrication Node 8N - | 
| Die Size 6x 762 mm² - | Die Size 628 mm² - | 
| Transistor Count 6x 92.2 Billion - | Transistor Count 28.3 Billion - | 
| Transistor Density 121.07M/mm² - | Transistor Density 45.04M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 6x 21760 Shaders - | Shading Units 8960 Shaders - | 
| Texture Mapping Units 6x 680 TMUs | Texture Mapping Units 280 TMUs | 
| Render Output Units 6x 176 ROPs | Render Output Units 112 ROPs | 
| Tensor Cores 6x 680 T-Cores | Tensor Cores 280 T-Cores | 
| Ray-Tracing Cores 6x 170 RT-Cores | Ray-Tracing Cores 70 RT-Cores | 
| Streaming Multiprocessors 6x 170 SMs | Streaming Multiprocessors 70 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 6x 11 GPCs | Graphics Processing Clusters 7 GPCs | 
| - - 2010MHz Base 2407MHz | - - 1260MHz Base 1710MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 96MB Shared | L2 5MB Shared | 
| - - - | - - - | 
| 192GB (6x 32GB) GDDR7 - | 12GB GDDR6X - | 
| Bus Width 512Bit | Bus Width 384Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 1792GB/s | Clock 1188MHz Transfer Rate 19GT/s Bandwidth 912GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 3450W | TDP 350W | 
| Temp 90°C Max | Temp 93°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - 18x DisplayPort 2.1 - - - - - - - - - 6x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 60Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate G-Sync FreeSync - | 
| Display Stream Compression (DSC) Supported | Display Stream Compression (DSC) Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 4 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model 3x NVENC 9 | Model NVENC 7 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model 2x NVDEC 6 | Model NVDEC 5 | 
| Codec MPEG-1 MPEG-2 MPEG-4 - VC-1 VP8 VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | Codec MPEG-1 MPEG-2 MPEG-4 - VC-1 VP8 VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Direct X 12 Direct 3D 12_3 | Direct X 12 Direct 3D 12_2 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | 
| - - - 2x Fans | - - - 2x Fans | 
| Power Connectors - - - - - - 1x 16-Pin 12VHPWR | Power Connectors - - - - - 1x 12-Pin - | 
| Slots Required 2.1 PCIe Version 5.0 PCIe Lanes 16 | Slots Required 2.0 PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| Height 137 mm (5.39 in) Width 304 mm (11.97 in) Depth 42 mm (1.65 in) | Height 112 mm (4.41 in) Width 285 mm (11.22 in) Depth 40 mm (1.57 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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