AMD Radeon PRO W7900D vs NVIDIA Rubin GPU Comparison

FAQ

Q: What are the core architectural differences between the AMD Radeon PRO W7900D and the NVIDIA Rubin GPU?

A: The AMD Radeon PRO W7900D uses the Navi 31 chip built on RDNA 3.0 architecture with a 5 nm TSMC process. The NVIDIA Rubin GPU uses the GR100 chip on Rubin architecture with a 3 nm TSMC process. The AMD part is a graphics-focused card with 96 ray tracing cores, while the NVIDIA part is a compute-focused accelerator with 896 tensor cores and no ray tracing cores listed.

Q: How do the memory subsystems compare?

A: The AMD Radeon PRO W7900D has 48 GB of GDDR6 memory on a 384-bit bus, delivering 864.0 GB/s bandwidth. The NVIDIA Rubin GPU has 288 GB of HBM4 memory on a 16384-bit bus, delivering 22.1 TB/s bandwidth. The NVIDIA part has roughly 25.6 times the memory bandwidth and 6 times the capacity.

Q: Which GPU has higher compute throughput?

A: The NVIDIA Rubin GPU delivers 130.0 TFLOPS FP32 and 260.0 TFLOPS FP16 (2:1 ratio). The AMD Radeon PRO W7900D delivers 52.99 TFLOPS FP32 and 52.99 TFLOPS FP16 (1:1 ratio). The NVIDIA part is 2.45 times ahead in FP32 and 4.91 times ahead in FP16.

Q: What are the power requirements for each card?

A: The AMD Radeon PRO W7900D has a TDP of 295 W and requires a 600 W suggested PSU. The NVIDIA Rubin GPU has a TDP of 2300 W and requires a 2700 W suggested PSU. The NVIDIA part consumes 7.8 times the power of the AMD part.

Q: Do these cards support standard display outputs?

A: The AMD Radeon PRO W7900D has 3x DisplayPort 2.1 and 1x mini-DisplayPort 2.1 outputs. The NVIDIA Rubin GPU has no display outputs, indicating it is designed for server compute workloads rather than workstation graphics.

Q: What is the physical form factor difference?

A: The AMD Radeon PRO W7900D is a triple-slot PCIe 4.0 x16 card measuring 280 mm in length, 110 mm in height, and 51 mm in width. The NVIDIA Rubin GPU is an SXM Module with PCIe 6.0 x16 interface and no listed dimensions.

Architecture Differences

The AMD Radeon PRO W7900D and NVIDIA Rubin GPU represent fundamentally different design philosophies. The AMD part is built on RDNA 3.0 architecture using the Navi 31 chip, fabricated on a 5 nm TSMC process. It contains 57,700 million transistors on a 529 mm² die, yielding a transistor density of 109.1M per mm². The NVIDIA Rubin GPU uses the GR100 chip on Rubin architecture, fabricated on a 3 nm TSMC process. It contains 336,000 million transistors on a 1456 mm² die, yielding a transistor density of 230.8M per mm². The NVIDIA part has 5.82 times more transistors and 2.75 times the die area, with 2.11 times higher transistor density.

The AMD GPU is a workstation graphics card with 6144 shading units, 384 texture mapping units, 192 render output units, and 96 ray tracing cores. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA GPU is a server accelerator with 28,672 shading units, 896 texture mapping units, 24 render output units, and 896 tensor cores. It has no ray tracing cores listed and reports N/A for DirectX, OpenGL, and Vulkan APIs. The NVIDIA part has 4.67 times more shading units and 2.33 times more TMUs, but the AMD part has 8 times more ROPs.

Clock behavior differs significantly. The AMD Radeon PRO W7900D operates at a 1327 MHz base clock and 2156 MHz boost clock, with memory at 2250 MHz (18 Gbps effective). The NVIDIA Rubin GPU has a 700 MHz base clock and 2267 MHz boost clock, with memory at 2695 MHz (10.8 Gbps effective). The AMD part has a 1.90 times higher base clock, while the NVIDIA part has a 1.05 times higher boost clock.

The memory architecture shows the largest divergence. AMD uses 48 GB of GDDR6 on a 384-bit bus, achieving 864.0 GB/s bandwidth. NVIDIA uses 288 GB of HBM4 on a 16384-bit bus, achieving 22.1 TB/s bandwidth. The NVIDIA memory bus is 42.67 times wider, and its bandwidth advantage reaches 25.6 times. This reflects the server-oriented design of the Rubin GPU, where massive memory throughput for AI and data workloads is the priority.

Where Each One Wins

The AMD Radeon PRO W7900D wins in scenarios requiring traditional graphics rendering and display output. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it suitable for workstation visualization, CAD, and content creation applications. Its 192 ROPs and 414.0 GPixel/s pixel rate provide strong rasterization throughput. The 48 GB GDDR6 memory, while smaller than the NVIDIA part, is sufficient for most workstation workloads. The triple-slot design with 3x DisplayPort 2.1 and 1x mini-DisplayPort 2.1 outputs allows direct connection to multiple high-resolution monitors. The 295 W TDP means it can be installed in standard workstation chassis with a 600 W PSU.

The NVIDIA Rubin GPU wins in compute-intensive server workloads. Its 896 tensor cores are designed for AI inference and training. The 288 GB HBM4 memory with 22.1 TB/s bandwidth enables processing of massive datasets without memory bottlenecks. The 130.0 TFLOPS FP32 and 260.0 TFLOPS FP16 throughput positions it for high-performance computing and scientific simulation. The 2,031.2 GTexel/s texture rate supports data-heavy operations. The SXM Module form factor and PCIe 6.0 x16 interface target datacenter deployments.

The AMD part has no tensor cores, while the NVIDIA part has no ray tracing cores. This specialization means each card excels in its intended domain. The AMD card delivers 52.99 TFLOPS FP32 and 52.99 TFLOPS FP16 with a 1:1 ratio, which is useful for graphics workloads that require consistent precision. The NVIDIA card provides 130.0 TFLOPS FP32 and 260.0 TFLOPS FP16 with a 2:1 ratio, favoring AI workloads where reduced precision is acceptable.

Specification Differences

| Specification | AMD Radeon PRO W7900D | NVIDIA Rubin GPU |

|---|---|---|

| Chip | Navi 31 | GR100 |

| Architecture | RDNA 3.0 | Rubin |

| Process Node | 5 nm | 3 nm |

| Transistors | 57,700 million | 336,000 million |

| Die Size | 529 mm² | 1456 mm² |

| Transistor Density | 109.1M / mm² | 230.8M / mm² |

| Base Clock | 1327 MHz | 700 MHz |

| Boost Clock | 2156 MHz | 2267 MHz |

| Memory Size | 48 GB | 288 GB |

| Memory Type | GDDR6 | HBM4 |

| Memory Bus Width | 384 bit | 16384 bit |

| Memory Bandwidth | 864.0 GB/s | 22.1 TB/s |

| Shading Units | 6144 | 28672 |

| TMUs | 384 | 896 |

| ROPs | 192 | 24 |

| RT Cores | 96 | None |

| Tensor Cores | None | 896 |

| Pixel Rate | 414.0 GPixel/s | 54.41 GPixel/s |

| Texture Rate | 827.9 GTexel/s | 2,031.2 GTexel/s |

| FP32 | 52.99 TFLOPS | 130.0 TFLOPS |

| FP16 | 52.99 TFLOPS (1:1) | 260.0 TFLOPS (2:1) |

| TDP | 295 W | 2300 W |

| Slot Width | Triple-slot | SXM Module |

| Power Connectors | 2x 8-pin | None |

| Suggested PSU | 600 W | 2700 W |

| Bus Interface | PCIe 4.0 x16 | PCIe 6.0 x16 |

| Display Outputs | 3x DP 2.1, 1x mini-DP 2.1 | No outputs |

| DirectX | 12 Ultimate (12_2) | N/A |

| OpenGL | 4.6 | N/A |

| Vulkan | 1.4 | N/A |

| Release Date | 2025-09-24 | 2025-12-31 |

Head-to-Head Benchmarks

The recorded data shows no direct head-to-head benchmark scores between these two GPUs. Both have an average benchmark score of 0 and a percentile rank of 50 among all GPUs. This reflects their distinct market positions: the AMD Radeon PRO W7900D is a workstation graphics card, while the NVIDIA Rubin GPU is a server accelerator. Without overlapping benchmark suites, the comparison relies on specification analysis.

The biggest win for the NVIDIA Rubin GPU is in memory bandwidth. Its 22.1 TB/s is 25.6 times higher than the AMD Radeon PRO W7900D's 864.0 GB/s. In memory capacity, the NVIDIA part's 288 GB is 6 times larger than the AMD part's 48 GB. Compute throughput also favors NVIDIA: 130.0 TFLOPS FP32 is 2.45 times the AMD part's 52.99 TFLOPS, and 260.0 TFLOPS FP16 is 4.91 times the AMD part's 52.99 TFLOPS.

The biggest win for the AMD Radeon PRO W7900D is in pixel throughput. Its 414.0 GPixel/s is 7.61 times higher than the NVIDIA Rubin GPU's 54.41 GPixel/s. The AMD part also has 8 times more ROPs (192 vs 24), which directly supports this pixel rate advantage. In texture rate, the NVIDIA part wins with 2,031.2 GTexel/s versus 827.9 GTexel/s, a 2.45 times advantage.

The transistor density figures show process technology progress. The NVIDIA Rubin GPU's 230.8M per mm² is 2.11 times denser than the AMD Radeon PRO W7900D's 109.1M per mm². The NVIDIA part's 336,000 million transistors represent a 5.82 times increase over the AMD part's 57,700 million. These raw architectural resources translate into the NVIDIA part's compute lead.

Power consumption scales with capability. The NVIDIA Rubin GPU's 2300 W TDP is 7.80 times higher than the AMD Radeon PRO W7900D's 295 W. The suggested PSU follows the same pattern: 2700 W for NVIDIA versus 600 W for AMD. The NVIDIA part's performance per watt for FP32 is 56.5 GFLOPS/W, while the AMD part achieves 179.6 GFLOPS/W, giving the AMD card a 3.18 times efficiency advantage.

The Verdict

The data shows two products with no direct performance overlap. The AMD Radeon PRO W7900D is designed for workstation graphics. Its 6144 shading units, 192 ROPs, and 414.0 GPixel/s pixel rate deliver strong rasterization. The 48 GB GDDR6 memory with 864.0 GB/s bandwidth handles demanding visualization workloads. The 96 ray tracing cores support hardware-accelerated ray tracing. Display outputs include 3x DisplayPort 2.1 and 1x mini-DisplayPort 2.1. A 295 W TDP allows deployment in standard workstations with a 600 W PSU.

The NVIDIA Rubin GPU is designed for datacenter compute. Its 28,672 shading units and 896 tensor cores provide massive compute throughput. The 288 GB HBM4 memory with 22.1 TB/s bandwidth enables large-scale AI and scientific workloads. The 130.0 TFLOPS FP32 and 260.0 TFLOPS FP16 output positions it for high-performance computing. The SXM Module form factor and PCIe 6.0 x16 interface target server integration. No display outputs confirm its headless operation. A 2300 W TDP and 2700 W PSU requirement indicate dedicated server power infrastructure.

Choose the AMD Radeon PRO W7900D for graphics-centric workstation tasks. Its pixel rate, ROP count, and display outputs make it suitable for real-time rendering and professional visualization. The 52.99 TFLOPS FP32 throughput handles compute acceleration within a workstation context. The 295 W TDP fits into conventional power budgets.

Choose the NVIDIA Rubin GPU for compute-centric server deployments. Its tensor cores, memory capacity, and bandwidth are optimized for AI training and inference. The 260.0 TFLOPS FP16 throughput excels in mixed-precision workloads. The 2300 W TDP requires server-grade power delivery and cooling.

Both GPUs hold a 50th percentile rank among all GPUs, reflecting their specialized rather than general-purpose positioning. The AMD part's release date of 2025-09-24 precedes the NVIDIA part's 2025-12-31. Neither has benchmark scores in the database, so performance validation depends on the architectural specifications presented. The AMD Radeon PRO W7900D serves the workstation segment with graphics features and display support. The NVIDIA Rubin GPU serves the server segment with massive memory and compute resources. Each wins decisively in its own domain.