AMD Radeon RX 7650 GRE vs MSI 2x GeForce RTX 3090 Ti Gaming X Trio
            AMD Radeon RX 7650 GRE
            
                $279
            
        
    
            MSI 2x GeForce RTX 3090 Ti Gaming X Trio
            
                $2,060
            
        
    | 2048 Shaders 8GB GDDR6 2695MHz | 2x 10752 Shaders 48GB (2x 24GB) GDDR6X 1920MHz | 
| Peak AI Performance 88.31 TOPS INT4 Tensor | Peak AI Performance 2.64 POPS INT4 Tensor Sparse | 
| FP32 22.08 TFLOPS | FP32 82.58 TFLOPS | 
| FP16 44.15 TFLOPS | FP16 82.58 TFLOPS | 
| Form Factor PCIe Card 2.0-Slots | Form Factor PCIe Card 2x 3.1-Slots | 
| TDP 165W | TDP 900W | 
| Power Connectors - 1x 8-Pin - - | 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 232,705 76% | 
| GB5 CUDA N/A 0% | GB5 CUDA 270,365 76% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 156,550 76% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 1,520 200% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            88.31 TOPS
                                         
                                            INT4 Tensor
                                         | Peak AI
                                            Performance 
                                            2.64 POPS
                                         
                                            INT4 Tensor Sparse
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                                            FP16
                                         
                                            44.15 TFLOPS
                                            
                                                
                                            
                                         
                                            22.08 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            22.08 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP16
                                         
                                            82.58 TFLOPS
                                            
                                                
                                            
                                         
                                            330.3 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            660.6 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            165.15 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            330.3 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            22.08 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
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                                         | 
                                            FP32
                                         
                                            82.58 TFLOPS
                                            
                                                
                                            
                                         
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| 
                                            FP64
                                         
                                            690 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            1.29 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            BF16
                                         
                                            44.15 TFLOPS
                                            
                                                
                                            
                                         
                                            22.08 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            BF16
                                         
                                            82.58 TFLOPS
                                            
                                                
                                            
                                         
                                            165.15 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            330.3 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
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                                            TF32
                                         
                                            82.58 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            165.15 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            88.31 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            1.32 POPS
                                            
                                                 Tensor
                                            
                                         
                                            2.64 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            22.08 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            660.6 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.32 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            11.04 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            41.29 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
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                                            Ray Tracing
                                         
                                            80.6 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            172.48 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            215.04 GPixel/s
                                         | 
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| Texture
                                            Fillrate 
                                            344.96 GTexel/s
                                         | Texture
                                            Fillrate 
                                            645.12 GTexel/s
                                         | 
| ManufacturerAMD | ManufacturerMSI | 
| Chip DesignerAMD | Chip DesignerNVIDIA | 
| ArchitectureRDNA 3 | ArchitectureAmpere | 
| FamilyRadeon RX 7000 | FamilyGeForce 30 | 
| Codename Hotpink Bonefish Navi 33 Variant Navi 33 XL | Codename NV172 GA102 Variant GA102-350-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 2/26/2025 | Release Date 3/29/2022 | 
| Foundry TSMC - | Foundry Samsung - | 
| Fabrication Node N6 - | Fabrication Node 8N - | 
| Die Size 204 mm² - | Die Size 2x 628 mm² - | 
| Transistor Count 13.3 Billion - | Transistor Count 2x 28.3 Billion - | 
| Transistor Density 65.20M/mm² - | Transistor Density 45.04M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 2048 Shaders - | Shading Units 2x 10752 Shaders - | 
| Texture Mapping Units 128 TMUs | Texture Mapping Units 2x 336 TMUs | 
| Render Output Units 64 ROPs | Render Output Units 2x 112 ROPs | 
| Tensor Cores 64 T-Cores | Tensor Cores 2x 336 T-Cores | 
| Ray-Tracing Cores 32 RT-Cores | Ray-Tracing Cores 2x 84 RT-Cores | 
| - - | Streaming Multiprocessors 2x 84 SMs | 
| Compute Units 32 CUs | - - | 
| - - | - - | 
| - - | Graphics Processing Clusters 2x 7 GPCs | 
| - - 1720MHz Base 2695MHz | - - 1560MHz Base 1920MHz | 
| L0 64KB/WGP | - - | 
| L1 - - - 256KB/Array | L1 64KB/SM Tex 128KB/SM - - | 
| L2 2MB Shared | L2 6MB Shared | 
| L3 32MB Shared 1.16TB/s | - - - | 
| 8GB GDDR6 - | 48GB (2x 24GB) GDDR6X - | 
| Bus Width 128Bit | Bus Width 384Bit | 
| Clock 2250MHz Transfer Rate 18GT/s Bandwidth 288GB/s | Clock 1313MHz Transfer Rate 21GT/s Bandwidth 1008GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 165W | TDP 900W | 
| - - | Temp 92°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 2.1 - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - 6x DisplayPort 1.4 - - - - - - - - - - - 2x HDMI 2.1 - - | 
| Max Resolution 15360x8640 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 60Hz | 
| Variable Refresh Rate - FreeSync - | Variable Refresh Rate G-Sync FreeSync - | 
| Display Stream Compression (DSC) Supported | Display Stream Compression (DSC) Supported | 
| Multi Monitor Support 3 | Multi Monitor Support 4 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model VCN 4.0 | Model NVENC 7 | 
| Codec - - - - - - VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model VCN 4.0 | Model NVDEC 5 | 
| Codec MPEG-1 MPEG-2 MPEG-4 JPEG VC-1 - 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 2.2 Vulkan 1.3 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | 
| Shader Model 6.7 - - GFX 11 - - - - | Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | 
| - - - 2x Fans | - - - 3x Fans | 
| Power Connectors - - - 1x 8-Pin - - - | Power Connectors - - - - - - 1x 16-Pin 12VHPWR | 
| Slots Required 2.0 PCIe Version 4.0 PCIe Lanes 8 | Slots Required 3.1 PCIe Version 4.0 PCIe Lanes 16 | 
| Multi GPU Support Supported Type CrossFire XDMA | Multi GPU Support Supported Type 2-way NVLink | 
| Height 115 mm (4.53 in) Width 204 mm (8.03 in) Depth 40 mm (1.57 in) | Height 140 mm (5.51 in) Width 325 mm (12.8 in) Depth 62 mm (2.44 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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