EVGA GeForce RTX 3080 10GB FTW3 Ultra vs ASUS GeForce RTX 3070 Ti TUF OC
            EVGA GeForce RTX 3080 10GB FTW3 Ultra
            
                $770
            
        
    
            ASUS GeForce RTX 3070 Ti TUF OC
            
                $660
            
        
    | 8704 Shaders 10GB GDDR6X 1800MHz | 6144 Shaders 8GB GDDR6X 1815MHz | 
| Peak AI Performance 1 POPS INT4 Tensor Sparse | Peak AI Performance 713.69 TOPS INT4 Tensor Sparse | 
| FP32 31.33 TFLOPS | FP32 22.3 TFLOPS | 
| FP16 31.33 TFLOPS | FP16 22.3 TFLOPS | 
| Form Factor PCIe Card 3.0-Slots | Form Factor PCIe Card 2.5-Slots | 
| TDP 320W | TDP 290W | 
| Power Connectors - 3x 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 190,600 62% | GB5 OpenCL 157,120 51% | 
| GB5 CUDA 212,430 60% | GB5 CUDA 170,605 48% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan 132,070 64% | GB5 Vulkan 98,190 48% | 
| OCT 2020.1 575 76% | OCT 2020.1 465 61% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            1 POPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            713.69 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
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| 
                                            FP16
                                         
                                            31.33 TFLOPS
                                            
                                                
                                            
                                         
                                            125.34 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            250.68 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            62.67 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            125.34 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            22.3 TFLOPS
                                            
                                                
                                            
                                         
                                            89.21 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            178.42 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            44.61 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            89.21 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            31.33 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            22.3 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            490 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            350 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            31.33 TFLOPS
                                            
                                                
                                            
                                         
                                            62.67 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            125.34 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            22.3 TFLOPS
                                            
                                                
                                            
                                         
                                            44.61 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            89.21 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            31.33 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            62.67 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            22.3 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            44.61 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            501.35 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            356.84 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            713.69 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            250.68 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            501.35 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            178.42 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            356.84 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            15.67 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            11.15 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            47.3 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            33.6 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            172.8 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            174.24 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            489.6 GTexel/s
                                         | Texture
                                            Fillrate 
                                            348.48 GTexel/s
                                         | 
| ManufacturerEVGA | ManufacturerASUS | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureAmpere | ArchitectureAmpere | 
| FamilyGeForce 30 | FamilyGeForce 30 | 
| Codename NV172 GA102 Variant GA102-200-KD-A1 | Codename NV174 GA104 Variant GA104-400-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/27/2022 | Release Date 6/10/2021 | 
| Foundry Samsung - | Foundry Samsung - | 
| Fabrication Node 8N - | Fabrication Node 8N - | 
| Die Size 628 mm² - | Die Size 393 mm² - | 
| Transistor Count 28.3 Billion - | Transistor Count 17.4 Billion - | 
| Transistor Density 45.04M/mm² - | Transistor Density 44.33M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 8704 Shaders - | Shading Units 6144 Shaders - | 
| Texture Mapping Units 272 TMUs | Texture Mapping Units 192 TMUs | 
| Render Output Units 96 ROPs | Render Output Units 96 ROPs | 
| Tensor Cores 272 T-Cores | Tensor Cores 192 T-Cores | 
| Ray-Tracing Cores 68 RT-Cores | Ray-Tracing Cores 48 RT-Cores | 
| Streaming Multiprocessors 68 SMs | Streaming Multiprocessors 48 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 7 GPCs | Graphics Processing Clusters 6 GPCs | 
| - - 1440MHz Base 1800MHz | - - 1575MHz Base 1815MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 5MB Shared | L2 4MB Shared | 
| - - - | - - - | 
| 10GB GDDR6X - | 8GB GDDR6X - | 
| Bus Width 320Bit | Bus Width 256Bit | 
| Clock 1188MHz Transfer Rate 19GT/s Bandwidth 760GB/s | Clock 1188MHz Transfer Rate 19GT/s Bandwidth 608GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 320W | TDP 290W | 
| Temp 93°C Max | Temp 93°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 2x 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 - - - 3x 8-Pin - - - | Power Connectors - - - 2x 8-Pin - - - | 
| Slots Required 3.0 PCIe Version 4.0 PCIe Lanes 16 | Slots Required 2.5 PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| Height 136.8 mm (5.39 in) Width 285 mm (11.22 in) Depth 60 mm (2.36 in) | Height 126.9 mm (5 in) Width 299.9 mm (11.81 in) Depth 51.7 mm (2.04 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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