NVIDIA 3x GeForce RTX 5090 vs PowerColor Radeon RX 6800 Red Dragon
            NVIDIA 3x GeForce RTX 5090
            
                $5,997
            
        
    
            PowerColor Radeon RX 6800 Red Dragon
            
                $550
            
        
    | 3x 21760 Shaders 96GB (3x 32GB) GDDR7 2407MHz | 3840 Shaders 16GB GDDR6 2170MHz | 
| Peak AI Performance 10.06 PFLOPS FP4 Tensor Sparse | Peak AI Performance 33.33 TFLOPS FP16 | 
| FP32 314.26 TFLOPS | FP32 16.67 TFLOPS | 
| FP16 314.26 TFLOPS | FP16 33.33 TFLOPS | 
| Form Factor PCIe Card 3x 2.1-Slots | Form Factor PCIe Card 2.7-Slots | 
| TDP 1725W | TDP 250W | 
| 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 N/A 0% | GB5 OpenCL 131,670 43% | 
| GB5 CUDA N/A 0% | GB5 CUDA N/A 0% | 
| GB5 Metal N/A 0% | GB5 Metal 136,110 76% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 97,920 48% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 N/A 0% | 
| OCT Metal N/A 0% | OCT Metal 320 54% | 
| Peak AI
                                            Performance 
                                            10.06 PFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            33.33 TFLOPS
                                         
                                            FP16
                                         | 
| 
                                            FP4
                                         
                                            5.03 PFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            10.06 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            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
                                         
                                            314.26 TFLOPS
                                            
                                                
                                            
                                         
                                            1.26 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            2.51 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            628.52 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            1.26 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            33.33 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            314.26 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            16.67 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            4.91 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            1.04 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            314.26 TFLOPS
                                            
                                                
                                            
                                         
                                            628.52 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.26 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            314.26 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            628.52 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            2.51 POPS
                                            
                                                 Tensor
                                            
                                         
                                            5.03 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            314.26 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            317.7 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            423.632 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            208.32 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            1636.76 GTexel/s
                                         | Texture
                                            Fillrate 
                                            520.8 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerPowerColor | 
| Chip DesignerNVIDIA | Chip DesignerAMD | 
| ArchitectureBlackwell | ArchitectureRDNA 2 | 
| FamilyGeForce 50 | FamilyRadeon RX 6000 | 
| Codename NV192 GB202 Variant GB202-300-A1 | Codename Sienna Cichlid Navi 21 Variant Navi 21 XL | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/6/2025 | Release Date 11/18/2020 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node 4NP - | Fabrication Node N7 - | 
| Die Size 3x 762 mm² - | Die Size 520 mm² - | 
| Transistor Count 3x 92.2 Billion - | Transistor Count 26.8 Billion - | 
| Transistor Density 121.07M/mm² - | Transistor Density 51.56M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 3x 21760 Shaders - | Shading Units 3840 Shaders - | 
| Texture Mapping Units 3x 680 TMUs | Texture Mapping Units 240 TMUs | 
| Render Output Units 3x 176 ROPs | Render Output Units 96 ROPs | 
| Tensor Cores 3x 680 T-Cores | - - | 
| Ray-Tracing Cores 3x 170 RT-Cores | Ray-Tracing Cores 60 RT-Cores | 
| Streaming Multiprocessors 3x 170 SMs | - - | 
| - - | Compute Units 60 CUs | 
| - - | - - | 
| Graphics Processing Clusters 3x 11 GPCs | Graphics Processing Clusters 4 GPCs | 
| - - 2010MHz Base 2407MHz | - - 1850MHz Base 2170MHz | 
| - - | L0 32KB/WGP | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - - 128KB/Array | 
| L2 96MB Shared | L2 4MB Shared | 
| - - - | L3 128MB Shared 1.66TB/s | 
| 96GB (3x 32GB) GDDR7 - | 16GB GDDR6 - | 
| Bus Width 512Bit | Bus Width 256Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 1792GB/s | Clock 2000MHz Transfer Rate 16GT/s Bandwidth 512GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 1725W | TDP 250W | 
| Temp 90°C Max | Temp 110°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - 9x DisplayPort 2.1 - - - - - - - - - 3x 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 120Hz | 
| 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 4 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model 3x NVENC 9 | Model VCN 3.0 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model 2x NVDEC 6 | Model VCN 3.0 | 
| 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_3 | Direct X 12 Direct 3D 12_2 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 4.6 OpenCL 2.1 Vulkan 1.2 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.5 - - GFX 10.3 - - - - | 
| - - - 2x Fans | - - - 3x Fans | 
| Power Connectors - - - - - - 1x 16-Pin 12VHPWR | Power Connectors - - - 2x 8-Pin - - - | 
| Slots Required 2.1 PCIe Version 5.0 PCIe Lanes 16 | Slots Required 2.7 PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | Multi GPU Support Supported Type Bridgeless | 
| Height 137 mm (5.39 in) Width 304 mm (11.97 in) Depth 42 mm (1.65 in) | Height 135 mm (5.31 in) Width 310 mm (12.2 in) Depth 54 mm (2.13 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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