NVIDIA 8x GeForce RTX 5090 vs NVIDIA GeForce GTX 1060 3GB GP106
            NVIDIA 8x GeForce RTX 5090
            
                $15,992
            
        
    
            NVIDIA GeForce GTX 1060 3GB GP106
            
                
            
        
    | 8x 21760 Shaders 256GB (8x 32GB) GDDR7 2407MHz | 1152 Shaders 3GB GDDR5 1708MHz | 
| Peak AI Performance 26.82 PFLOPS FP4 Tensor Sparse | Peak AI Performance 15.74 TOPS INT8 | 
| FP32 838.02 TFLOPS | FP32 3.94 TFLOPS | 
| FP16 838.02 TFLOPS | FP16 60 GFLOPS | 
| Form Factor PCIe Card 8x 2.1-Slots | Form Factor PCIe Card 2.0-Slots | 
| TDP 4600W | TDP 120W | 
| Power Connectors - - - 1x 16-Pin 12VHPWR | Power Connectors 1x 6-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 N/A 0% | 
| GB5 CUDA N/A 0% | GB5 CUDA N/A 0% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan N/A 0% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 N/A 0% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            26.82 PFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            15.74 TOPS
                                         
                                            INT8
                                         | 
| 
                                            FP4
                                         
                                            13.41 PFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            26.82 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            6.7 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            13.41 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            3.35 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            6.7 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            838.02 TFLOPS
                                            
                                                
                                            
                                         
                                            3.35 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            6.7 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            1.68 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            3.35 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            60 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            838.02 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            3.94 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            13.1 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            120 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            838.02 TFLOPS
                                            
                                                
                                            
                                         
                                            1.68 PFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            3.35 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            838.02 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.68 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            6.7 POPS
                                            
                                                 Tensor
                                            
                                         
                                            13.41 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            15.74 TOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            838.02 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            317.7 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            423.632 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            81.984 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            1636.76 GTexel/s
                                         | Texture
                                            Fillrate 
                                            122.976 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureBlackwell | ArchitecturePascal | 
| FamilyGeForce 50 | FamilyGeForce 10 | 
| Codename NV192 GB202 Variant GB202-300-A1 | Codename NV136 GP106 Variant GP106-300-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/6/2025 | Release Date 8/18/2016 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node 4NP - | Fabrication Node 16FF - | 
| Die Size 8x 762 mm² - | Die Size 200 mm² - | 
| Transistor Count 8x 92.2 Billion - | Transistor Count 4.4 Billion - | 
| Transistor Density 121.07M/mm² - | Transistor Density 22.00M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 8x 21760 Shaders - | Shading Units 1152 Shaders - | 
| Texture Mapping Units 8x 680 TMUs | Texture Mapping Units 72 TMUs | 
| Render Output Units 8x 176 ROPs | Render Output Units 48 ROPs | 
| Tensor Cores 8x 680 T-Cores | - - | 
| Ray-Tracing Cores 8x 170 RT-Cores | - - | 
| Streaming Multiprocessors 8x 170 SMs | Streaming Multiprocessors 9 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 8x 11 GPCs | Graphics Processing Clusters 2 GPCs | 
| - - 2010MHz Base 2407MHz | - - 1506MHz Base 1708MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - 48KB/SM - - | 
| L2 96MB Shared | L2 1.5MB Shared | 
| - - - | - - - | 
| 256GB (8x 32GB) GDDR7 - | 3GB GDDR5 - | 
| Bus Width 512Bit | Bus Width 192Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 1792GB/s | Clock 2000MHz Transfer Rate 8GT/s Bandwidth 192GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 4600W | TDP 120W | 
| Temp 90°C Max | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - 24x DisplayPort 2.1 - - - - - - - - - 8x HDMI 2.1 - - | - - - - - - - - - - 1x DVI-D Dual-Link - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - 1x HDMI 2.0 - - - | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 30Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate G-Sync FreeSync - | 
| Display Stream Compression (DSC) Supported | Display Stream Compression (DSC) Not Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 3 | 
| Content Protection HDCP 2.3 | - - | 
| Model 3x NVENC 9 | Model NVENC 4 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model 2x NVDEC 6 | Model NVDEC 3 | 
| 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 - VP9 - AVC (H.264) HEVC (H.265) - - - - | 
| Direct X 12 Direct 3D 12_3 | Direct X 12 Direct 3D 12_1 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.7 CUDA 6.1 - - PureVideo HD VP8 VDPAU Feature Set H | 
| - - - 2x Fans | - - - 1x Fan | 
| Power Connectors - - - - - - 1x 16-Pin 12VHPWR | Power Connectors - - 1x 6-Pin - - - - | 
| Slots Required 2.1 PCIe Version 5.0 PCIe Lanes 16 | Slots Required 2.0 PCIe Version 3.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| Height 137 mm (5.39 in) Width 304 mm (11.97 in) Depth 42 mm (1.65 in) | Height 112 mm (4.41 in) Width 250 mm (9.84 in) Depth 40 mm (1.57 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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