EVGA GeForce RTX 3090 Ti FTW3 ULTRA vs AMD Radeon RX 7900 GRE
            EVGA GeForce RTX 3090 Ti FTW3 ULTRA
            
                $1,999
            
        
    
            AMD Radeon RX 7900 GRE
            
                $549
            
        
    | 10752 Shaders 24GB GDDR6X 1920MHz | 5120 Shaders 16GB GDDR6 2245MHz | 
| Peak AI Performance 1.32 POPS INT4 Tensor Sparse | Peak AI Performance 183.91 TOPS INT4 Tensor | 
| FP32 41.29 TFLOPS | FP32 45.98 TFLOPS | 
| FP16 41.29 TFLOPS | FP16 91.96 TFLOPS | 
| Form Factor PCIe Card 3.4-Slots | Form Factor PCIe Card 2.5-Slots | 
| TDP 450W | TDP 260W | 
| Power Connectors - - - 1x 16-Pin 12VHPWR | 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 232,705 76% | GB5 OpenCL N/A 0% | 
| GB5 CUDA 270,365 76% | GB5 CUDA N/A 0% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan 156,550 76% | GB5 Vulkan N/A 0% | 
| OCT 2020.1 760 100% | OCT 2020.1 N/A 0% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            1.32 POPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            183.91 TOPS
                                         
                                            INT4 Tensor
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                                            FP16
                                         
                                            41.29 TFLOPS
                                            
                                                
                                            
                                         
                                            165.15 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            330.3 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            82.58 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            165.15 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            91.96 TFLOPS
                                            
                                                
                                            
                                         
                                            45.98 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            45.98 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            FP32
                                         
                                            41.29 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
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                                         | 
                                            FP32
                                         
                                            45.98 TFLOPS
                                            
                                                
                                            
                                         
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| 
                                            FP64
                                         
                                            650 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            1.44 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            BF16
                                         
                                            41.29 TFLOPS
                                            
                                                
                                            
                                         
                                            82.58 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            165.15 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            91.96 TFLOPS
                                            
                                                
                                            
                                         
                                            45.98 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            41.29 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            82.58 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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                                            INT4
                                         
                                            660.6 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.32 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            183.91 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            330.3 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            660.6 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            45.98 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            20.64 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            22.99 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            80.6 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            215.04 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            359.2 GPixel/s
                                         | 
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| Texture
                                            Fillrate 
                                            645.12 GTexel/s
                                         | Texture
                                            Fillrate 
                                            718.4 GTexel/s
                                         | 
| ManufacturerEVGA | ManufacturerAMD | 
| Chip DesignerNVIDIA | Chip DesignerAMD | 
| ArchitectureAmpere | ArchitectureRDNA 3 | 
| FamilyGeForce 30 | FamilyRadeon RX 7000 | 
| Codename NV172 GA102 Variant GA102-300-A1 | Codename Plum Bonito Navi 31 Variant Navi 31 XL | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 3/30/2022 | Release Date 7/27/2023 | 
| Foundry Samsung - | Foundry TSMC TSMC Memory Cache Die | 
| Fabrication Node 8N - | Fabrication Node N5 N6  Memory Cache Die | 
| Die Size 628 mm² - | Die Size 304 mm² 4x 38 mm² Memory Cache Die | 
| Transistor Count 28.3 Billion - | Transistor Count 45.4 Billion 4x 2.1 Billion Memory Cache Die | 
| Transistor Density 45.04M/mm² - | Transistor Density 149.17M/mm² 54.64M/mm² Memory Cache Die | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 10752 Shaders - | Shading Units 5120 Shaders - | 
| Texture Mapping Units 336 TMUs | Texture Mapping Units 320 TMUs | 
| Render Output Units 112 ROPs | Render Output Units 160 ROPs | 
| Tensor Cores 336 T-Cores | Tensor Cores 160 T-Cores | 
| Ray-Tracing Cores 84 RT-Cores | Ray-Tracing Cores 80 RT-Cores | 
| Streaming Multiprocessors 84 SMs | - - | 
| - - | Compute Units 80 CUs | 
| - - | - - | 
| Graphics Processing Clusters 7 GPCs | - - | 
| - - 1560MHz Base 1920MHz | - - 1880MHz Base 2245MHz | 
| - - | L0 64KB/WGP | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - - 256KB/Array | 
| L2 6MB Shared | L2 6MB Shared | 
| - - - | L3 64MB Shared 2.25TB/s | 
| 24GB GDDR6X - | 16GB GDDR6 - | 
| Bus Width 384Bit | Bus Width 256Bit | 
| Clock 1313MHz Transfer Rate 21GT/s Bandwidth 1008GB/s | Clock 2250MHz Transfer Rate 18GT/s Bandwidth 576GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 450W | TDP 260W | 
| Temp 92°C Max | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - - - 2x DisplayPort 2.1 - - - - - - - - - 1x HDMI 2.1 1x USB-C + DP - | 
| Max Resolution 7680x4320 | Max Resolution 15360x8640 | 
| Max Resolution Refresh Rate 60Hz | Max Resolution Refresh Rate 165Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate - FreeSync - | 
| Display Stream Compression (DSC) Supported | Display Stream Compression (DSC) Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 3 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model NVENC 7 | Model VCN 4.0 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | Codec - - - - - - VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Model NVDEC 5 | Model VCN 4.0 | 
| 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 JPEG VC-1 - 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 2.2 Vulkan 1.3 | 
| Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | Shader Model 6.7 - - GFX 11 - - - - | 
| - - - 3x Fans | - - - 3x Fans | 
| Power Connectors - - - - - - 1x 16-Pin 12VHPWR | Power Connectors - - - 2x 8-Pin - - - | 
| Slots Required 3.4 PCIe Version 4.0 PCIe Lanes 16 | Slots Required 2.5 PCIe Version 4.0 PCIe Lanes 16 | 
| Multi GPU Support Supported Type 2-way NVLink | Multi GPU Support Supported Type CrossFire XDMA | 
| Height 136.8 mm (5.39 in) Width 300 mm (11.81 in) Depth 70 mm (2.76 in) | Height 110 mm (4.33 in) Width 276 mm (10.87 in) Depth 51 mm (2.01 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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