NVIDIA GeForce RTX 5060 Ti 8GB vs NVIDIA 6x GeForce RTX 4090
            NVIDIA GeForce RTX 5060 Ti 8GB
            
                $379
            
        
    
            NVIDIA 6x GeForce RTX 4090
            
                $9,594
            
        
    | 4608 Shaders 8GB GDDR7 2575MHz | 6x 16384 Shaders 144GB (6x 24GB) GDDR6X 2520MHz | 
| Peak AI Performance 759.4 TFLOPS FP4 Tensor Sparse | Peak AI Performance 15.85 POPS INT4 Tensor Sparse | 
| FP32 23.73 TFLOPS | FP32 495.45 TFLOPS | 
| FP16 23.73 TFLOPS | FP16 495.45 TFLOPS | 
| Form Factor PCIe Card - | Form Factor PCIe Card 6x 3.0-Slots | 
| TDP 180W | TDP 2700W | 
| Power Connectors - - - 1x 16-Pin 12VHPWR | Power Connectors - - - 1x 16-Pin 12VHPWR | 
| 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 
                                            759.4 TFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            15.85 POPS
                                         
                                            INT4 Tensor Sparse
                                         | 
| 
                                            FP4
                                         
                                            379.7 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            759.4 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            189.85 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            379.7 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            94.93 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            189.85 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            3.96 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            7.93 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            1.98 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            3.96 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP16
                                         
                                            23.73 TFLOPS
                                            
                                                
                                            
                                         
                                            94.93 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            189.85 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            47.46 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            94.92 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            495.45 TFLOPS
                                            
                                                
                                            
                                         
                                            1.98 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            3.96 PFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            990.91 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            1.98 PFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            23.73 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            495.45 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            370 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            7.74 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            23.73 TFLOPS
                                            
                                                
                                            
                                         
                                            47.46 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            94.92 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            495.45 TFLOPS
                                            
                                                
                                            
                                         
                                            990.91 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.98 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            23.73 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            47.46 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            495.45 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            990.9 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            7.93 POPS
                                            
                                                 Tensor
                                            
                                         
                                            15.85 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            189.85 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            379.7 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            3.96 POPS
                                            
                                                 Tensor
                                            
                                         
                                            7.93 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            23.73 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            247.73 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            72 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            190.9 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            123.6 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            443.52 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            370.8 GTexel/s
                                         | Texture
                                            Fillrate 
                                            1290.24 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureBlackwell | ArchitectureAda Lovelace | 
| FamilyGeForce 50 | FamilyGeForce 40 | 
| Codename NV196 GB206 - - | Codename NV182 AD102 Variant AD102-300-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 4/16/2025 | Release Date 10/12/2022 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node 4NP - | Fabrication Node 4N - | 
| Die Size 183 mm² - | Die Size 6x 608 mm² - | 
| Transistor Count 23 Billion - | Transistor Count 6x 76.3 Billion - | 
| Transistor Density 125.68M/mm² - | Transistor Density 125.41M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 4608 Shaders - | Shading Units 6x 16384 Shaders - | 
| Texture Mapping Units 144 TMUs | Texture Mapping Units 6x 512 TMUs | 
| Render Output Units 48 ROPs | Render Output Units 6x 176 ROPs | 
| Tensor Cores 144 T-Cores | Tensor Cores 6x 512 T-Cores | 
| Ray-Tracing Cores 36 RT-Cores | Ray-Tracing Cores 6x 128 RT-Cores | 
| Streaming Multiprocessors 36 SMs | Streaming Multiprocessors 6x 128 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 3 GPCs | Graphics Processing Clusters 6x 11 GPCs | 
| - - 2235MHz Base 2575MHz | - - 2230MHz Base 2520MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 32MB Shared | L2 72MB Shared | 
| - - - | - - - | 
| 8GB GDDR7 - | 144GB (6x 24GB) GDDR6X - | 
| Bus Width 128Bit | Bus Width 384Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 448GB/s | Clock 1313MHz Transfer Rate 21GT/s Bandwidth 1008GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 180W | TDP 2700W | 
| Temp 85°C Max | Temp 90°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 2.1 - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - 18x DisplayPort 1.4 - - - - - - - - - - - 6x HDMI 2.1 - - | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 165Hz | 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 9 | Model 2x NVENC 8 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Model NVDEC 6 | 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_3 | Direct X 12 Direct 3D 12_3 | 
| 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 6.6 CUDA 8.9 - - PureVideo HD VP12 VDPAU Feature Set L | 
| Not a Card - - 2x Fans | - - - 2x Fans | 
| Power Connectors - - - - - - 1x 16-Pin 12VHPWR | Power Connectors - - - - - - 1x 16-Pin 12VHPWR | 
| - - PCIe Version 5.0 PCIe Lanes 16 | Slots Required 3.0 PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| - - - - - - | Height 137 mm (5.39 in) Width 304 mm (11.97 in) Depth 61 mm (2.4 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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