MSI GeForce RTX 3080 12GB Ventus 3X Plus OC vs NVIDIA GeForce RTX 3090
            MSI GeForce RTX 3080 12GB Ventus 3X Plus OC
            
                $770
            
        
    
            NVIDIA GeForce RTX 3090
            
                $1,499
            
        
    | 8960 Shaders 12GB GDDR6X 1740MHz | 10496 Shaders 24GB GDDR6X 1695MHz | 
| Peak AI Performance 997.79 TOPS INT4 Tensor Sparse | Peak AI Performance 1.14 POPS INT4 Tensor Sparse | 
| FP32 31.18 TFLOPS | FP32 35.58 TFLOPS | 
| FP16 31.18 TFLOPS | FP16 35.58 TFLOPS | 
| Form Factor PCIe Card 2.8-Slots | Form Factor PCIe Card 3.0-Slots | 
| TDP 350W | TDP 350W | 
| Power Connectors - 2x 8-Pin - - | Power Connectors - - 1x 12-Pin - | 
| GB6 OpenCL N/A 0% | |
| GB6 Metal N/A 0% | GB6 Metal N/A 0% | 
| GB6 Vulkan N/A 0% | 
| GB5 OpenCL 189,865 62% | GB5 OpenCL 205,435 67% | 
| GB5 CUDA 211,625 60% | GB5 CUDA 238,680 67% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan 127,725 62% | GB5 Vulkan 138,205 67% | 
| OCT 2020.1 605 80% | OCT 2020.1 655 86% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            997.79 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            1.14 POPS
                                         
                                            INT4 Tensor Sparse
                                         | 
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| 
                                            FP16
                                         
                                            31.18 TFLOPS
                                            
                                                
                                            
                                         
                                            124.72 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            249.45 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            62.36 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            124.72 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            35.58 TFLOPS
                                            
                                                
                                            
                                         
                                            142.33 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            284.65 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            71.16 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            142.33 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            31.18 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            35.58 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            490 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            560 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            31.18 TFLOPS
                                            
                                                
                                            
                                         
                                            62.36 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            124.72 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            35.58 TFLOPS
                                            
                                                
                                            
                                         
                                            71.16 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            142.33 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            31.18 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            62.36 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            35.58 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            71.16 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            498.89 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            997.79 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            569.3 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.14 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            249.45 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            498.89 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            284.65 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            569.3 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            15.59 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            17.79 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            47 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            53.7 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            194.88 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            189.84 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
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                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            487.2 GTexel/s
                                         | Texture
                                            Fillrate 
                                            555.96 GTexel/s
                                         | 
| ManufacturerMSI | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureAmpere | ArchitectureAmpere | 
| FamilyGeForce 30 | FamilyGeForce 30 | 
| Codename NV172 GA102 Variant GA102-220-A1 | Codename NV172 GA102 Variant GA102-300-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/27/2022 | Release Date 9/24/2020 | 
| Foundry Samsung - | Foundry Samsung - | 
| Fabrication Node 8N - | Fabrication Node 8N - | 
| Die Size 628 mm² - | Die Size 628 mm² - | 
| Transistor Count 28.3 Billion - | Transistor Count 28.3 Billion - | 
| Transistor Density 45.04M/mm² - | Transistor Density 45.04M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 8960 Shaders - | Shading Units 10496 Shaders - | 
| Texture Mapping Units 280 TMUs | Texture Mapping Units 328 TMUs | 
| Render Output Units 112 ROPs | Render Output Units 112 ROPs | 
| Tensor Cores 280 T-Cores | Tensor Cores 328 T-Cores | 
| Ray-Tracing Cores 70 RT-Cores | Ray-Tracing Cores 82 RT-Cores | 
| Streaming Multiprocessors 70 SMs | Streaming Multiprocessors 82 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 7 GPCs | Graphics Processing Clusters 7 GPCs | 
| - - 1260MHz Base 1740MHz | - - 1395MHz Base 1695MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 5MB Shared | L2 6MB Shared | 
| - - - | - - - | 
| 12GB GDDR6X - | 24GB GDDR6X - | 
| Bus Width 384Bit | Bus Width 384Bit | 
| Clock 1188MHz Transfer Rate 19GT/s Bandwidth 912GB/s | Clock 1219MHz Transfer Rate 19.5GT/s Bandwidth 936GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 350W | TDP 350W | 
| Temp 93°C Max | Temp 93°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 60Hz | 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 NVENC 7 | Model NVENC 7 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 5 | 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_2 | Direct X 12 Direct 3D 12_2 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | 
| Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | 
| - - - 3x Fans | - - - 2x Fans | 
| Power Connectors - - - 2x 8-Pin - - - | Power Connectors - - - - - 1x 12-Pin - | 
| Slots Required 2.8 PCIe Version 4.0 PCIe Lanes 16 | Slots Required 3.0 PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | Multi GPU Support Supported Type 2-way NVLink | 
| Height 120 mm (4.72 in) Width 305 mm (12.01 in) Depth 57 mm (2.24 in) | Height 140 mm (5.51 in) Width 336 mm (13.23 in) Depth 61 mm (2.4 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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