GIGABYTE GeForce RTX 3090 Eagle OC vs MSI GeForce RTX 3080 12GB Ventus 3X Plus OC
            GIGABYTE GeForce RTX 3090 Eagle OC
            
                
            
        
    
            MSI GeForce RTX 3080 12GB Ventus 3X Plus OC
            
                $770
            
        
    | 10496 Shaders 24GB GDDR6X 1725MHz | 8960 Shaders 12GB GDDR6X 1740MHz | 
| Peak AI Performance 1.16 POPS INT4 Tensor Sparse | Peak AI Performance 997.79 TOPS INT4 Tensor Sparse | 
| FP32 36.21 TFLOPS | FP32 31.18 TFLOPS | 
| FP16 36.21 TFLOPS | FP16 31.18 TFLOPS | 
| Form Factor PCIe Card 2.8-Slots | Form Factor PCIe Card 2.8-Slots | 
| TDP 350W | TDP 350W | 
| Power Connectors - 2x 8-Pin - - | Power Connectors - 2x 8-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 209,075 68% | GB5 OpenCL 189,865 62% | 
| GB5 CUDA 242,905 68% | GB5 CUDA 211,625 60% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan 140,650 68% | GB5 Vulkan 127,725 62% | 
| OCT 2020.1 665 88% | OCT 2020.1 605 80% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            1.16 POPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            997.79 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
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| 
                                            FP16
                                         
                                            36.21 TFLOPS
                                            
                                                
                                            
                                         
                                            144.85 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            289.69 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            72.42 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            144.84 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            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
                                            
                                         | 
| 
                                            FP32
                                         
                                            36.21 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            31.18 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            570 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            490 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            36.21 TFLOPS
                                            
                                                
                                            
                                         
                                            72.42 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            144.84 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            31.18 TFLOPS
                                            
                                                
                                            
                                         
                                            62.36 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            124.72 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            36.21 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            72.42 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            31.18 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            62.36 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            579.38 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.16 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            498.89 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            997.79 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            289.69 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            579.38 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            249.45 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            498.89 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            18.11 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            15.59 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            54.6 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            47 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            193.2 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            194.88 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
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                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            565.8 GTexel/s
                                         | Texture
                                            Fillrate 
                                            487.2 GTexel/s
                                         | 
| ManufacturerGIGABYTE | ManufacturerMSI | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureAmpere | ArchitectureAmpere | 
| FamilyGeForce 30 | FamilyGeForce 30 | 
| Codename NV172 GA102 Variant GA102-300-A1 | Codename NV172 GA102 Variant GA102-220-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 9/24/2020 | Release Date 1/27/2022 | 
| 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 10496 Shaders - | Shading Units 8960 Shaders - | 
| Texture Mapping Units 328 TMUs | Texture Mapping Units 280 TMUs | 
| Render Output Units 112 ROPs | Render Output Units 112 ROPs | 
| Tensor Cores 328 T-Cores | Tensor Cores 280 T-Cores | 
| Ray-Tracing Cores 82 RT-Cores | Ray-Tracing Cores 70 RT-Cores | 
| Streaming Multiprocessors 82 SMs | Streaming Multiprocessors 70 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 7 GPCs | Graphics Processing Clusters 7 GPCs | 
| - - 1395MHz Base 1725MHz | - - 1260MHz Base 1740MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 6MB Shared | L2 5MB Shared | 
| - - - | - - - | 
| 24GB GDDR6X - | 12GB GDDR6X - | 
| Bus Width 384Bit | Bus Width 384Bit | 
| Clock 1219MHz Transfer Rate 19.5GT/s Bandwidth 936GB/s | Clock 1188MHz Transfer Rate 19GT/s Bandwidth 912GB/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 | - - - 3x Fans | 
| Power Connectors - - - 2x 8-Pin - - - | Power Connectors - - - 2x 8-Pin - - - | 
| Slots Required 2.8 PCIe Version 4.0 PCIe Lanes 16 | Slots Required 2.8 PCIe Version 4.0 PCIe Lanes 16 | 
| Multi GPU Support Supported Type 2-way NVLink | - - - - | 
| Height 128 mm (5.04 in) Width 320 mm (12.6 in) Depth 56 mm (2.2 in) | Height 120 mm (4.72 in) Width 305 mm (12.01 in) Depth 57 mm (2.24 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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