AMD Radeon AI PRO R9700S vs NVIDIA Rubin GPU Comparison

AMD Radeon AI PRO R9700S and NVIDIA Rubin GPU occupy distinct positions in the database, separated by architecture generation, process node, and intended workload. The R9700S is a RDNA 4.0 part on TSMC 4 nm, while the Rubin GPU is a 3 nm design using the Rubin architecture. The recorded specifications show two very different devices: one a workstation-oriented card with display outputs and a 300 W TDP, the other a server module with no display outputs and a 2300 W TDP.

FAQ

Q: What are the process nodes for each GPU?

A: The AMD Radeon AI PRO R9700S uses a 4 nm process from TSMC, while the NVIDIA Rubin GPU uses a 3 nm process, also from TSMC.

Q: How much memory does each GPU have?

A: The AMD Radeon AI PRO R9700S has 32 GB of GDDR6 memory on a 256-bit bus. The NVIDIA Rubin GPU has 288 GB of HBM4 memory on a 16384-bit bus.

Q: Which GPU has higher FP32 compute?

A: The NVIDIA Rubin GPU delivers 130.0 TFLOPS of FP32 performance, which is 82.16 TFLOPS higher than the AMD Radeon AI PRO R9700S at 47.84 TFLOPS.

Q: What is the transistor count difference?

A: The AMD Radeon AI PRO R9700S contains 53,900 million transistors on a 357 mm² die. The NVIDIA Rubin GPU contains 336,000 million transistors on a 1456 mm² die.

Q: Do both GPUs support the same APIs?

A: No. The AMD Radeon AI PRO R9700S supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA Rubin GPU has no recorded API support, with DirectX, OpenGL, and Vulkan all listed as N/A.

Q: What is the memory bandwidth for each GPU?

A: The AMD Radeon AI PRO R9700S has 644.6 GB/s of bandwidth. The NVIDIA Rubin GPU has 22.1 TB/s of bandwidth, which is substantially higher.

Architecture Differences

The AMD Radeon AI PRO R9700S is built on the RDNA 4.0 architecture, part of the Radeon Pro Navi generation. It uses the Navi 48 chip. The NVIDIA Rubin GPU uses the Rubin architecture with the GR100 chip, belonging to the Server Rubin generation. The process nodes differ: 4 nm for AMD versus 3 nm for NVIDIA, both from TSMC.

Transistor counts show a massive gap. The AMD chip has 53,900 million transistors on a 357 mm² die, giving a density of 151.0M transistors per mm². The NVIDIA chip has 336,000 million transistors on a 1456 mm² die, with a density of 230.8M per mm². The Rubin GPU has over six times the transistor count and a die that is roughly four times larger.

Memory architecture diverges completely. The R9700S uses 32 GB of GDDR6 with a 256-bit bus and 644.6 GB/s bandwidth. The Rubin GPU uses 288 GB of HBM4 on a 16384-bit bus, delivering 22.1 TB/s. The memory clock also differs: 2518 MHz (20.1 Gbps effective) for AMD versus 2695 MHz (10.8 Gbps effective) for NVIDIA. The bus width difference is the key factor, with the Rubin GPU's 16384-bit path enabling the much higher bandwidth.

Compute unit organization differs. The AMD GPU has 4096 shading units, 256 TMUs, 128 ROPs, and 64 ray tracing cores. The NVIDIA GPU has 28672 shading units, 896 TMUs, only 24 ROPs, and 896 tensor cores. The tensor core count is notable because the R9700S has no recorded tensor cores. The ROP count is the only major unit where NVIDIA is lower, and this limitation shows in pixel rate.

Clock speeds follow different design philosophies. The AMD GPU has a base clock of 1660 MHz, a boost of 2920 MHz, and a game clock of 2350 MHz. The NVIDIA GPU has a base of 700 MHz and a boost of 2267 MHz, with no game clock recorded. The AMD part runs at higher frequencies, but the NVIDIA part compensates with far more execution units.

Power and physical design reflect their target environments. The AMD card is a dual-slot design, 267 mm long, 109 mm high, and 39 mm wide, with a 1x 16-pin power connector and a 700 W suggested PSU. It has four DisplayPort 2.1a outputs. The NVIDIA module is an SXM form factor with no recorded dimensions, no power connector listing, a 2700 W suggested PSU, and no display outputs. The TDP is 300 W for AMD versus 2300 W for NVIDIA.

Bus interface also differs: PCIe 5.0 x16 for the AMD card, PCIe 6.0 x16 for the NVIDIA module.

Where Each One Wins

The AMD Radeon AI PRO R9700S wins in scenarios that require display output and standard workstation integration. It has four DisplayPort 2.1a connections, making it suitable for multi-monitor setups. It operates at a 300 W TDP with a 700 W suggested PSU, which fits conventional workstation power budgets. Its dual-slot, 267 mm length allows installation in standard tower chassis. The API support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 means it can run graphics workloads directly.

The NVIDIA Rubin GPU wins in compute density and memory capacity scenarios. Its 288 GB of HBM4 memory with 22.1 TB/s bandwidth supports large data sets that cannot fit in the AMD card's 32 GB. The 130.0 TFLOPS FP32 performance is more than double the AMD part's 47.84 TFLOPS. The FP16 performance of 260.0 TFLOPS (2:1 ratio) is even more pronounced. The 896 tensor cores give it a dedicated path for AI workloads that the AMD GPU lacks entirely.

The power envelope tells the story. The Rubin GPU consumes 2300 W, demanding a 2700 W PSU, which places it in rack-mounted server environments. The AMD card at 300 W fits in a desktop or workstation. Neither device is portable, but the AMD card has a form factor that works outside data centers.

The pixel rate and texture rate split the two. The AMD GPU achieves 373.8 GPixel/s and 747.5 GTexel/s. The NVIDIA GPU achieves 54.41 GPixel/s and 2,031.2 GTexel/s. The AMD part wins pixel throughput, likely due to its 128 ROPs versus 24. The NVIDIA part wins texture throughput decisively due to 896 TMUs.

Specification Differences

| Specification | AMD Radeon AI PRO R9700S | NVIDIA Rubin GPU |

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

| Process node | 4 nm | 3 nm |

| Transistors | 53,900 million | 336,000 million |

| Die size | 357 mm² | 1456 mm² |

| Base clock | 1660 MHz | 700 MHz |

| Boost clock | 2920 MHz | 2267 MHz |

| Memory size | 32 GB | 288 GB |

| Memory type | GDDR6 | HBM4 |

| Memory bus | 256 bit | 16384 bit |

| Bandwidth | 644.6 GB/s | 22.1 TB/s |

| Shading units | 4096 | 28672 |

| TMUs | 256 | 896 |

| ROPs | 128 | 24 |

| RT cores | 64 | None recorded |

| Tensor cores | None recorded | 896 |

| Pixel rate | 373.8 GPixel/s | 54.41 GPixel/s |

| Texture rate | 747.5 GTexel/s | 2,031.2 GTexel/s |

| FP32 | 47.84 TFLOPS | 130.0 TFLOPS |

| FP16 | 47.84 TFLOPS (1:1) | 260.0 TFLOPS (2:1) |

| TDP | 300 W | 2300 W |

| Slot width | Dual-slot | SXM Module |

| Display outputs | 4x DisplayPort 2.1a | None |

| Bus interface | PCIe 5.0 x16 | PCIe 6.0 x16 |

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

| OpenGL support | 4.6 | N/A |

| Vulkan support | 1.4 | N/A |

The two devices differ in every major category except production status, both marked Active. The release dates are close: December 10, 2025 for AMD and December 31, 2025 for NVIDIA. The predecessors also differ, with the AMD card following the Radeon Pro Vega and the NVIDIA module following Server Blackwell.

Head-to-Head Benchmarks

The database records no direct benchmark scores for either GPU, as both have empty benchmark arrays and zero average scores. The percentile versus all GPUs is 50 for both, which is the default placeholder. The head-to-head benchmark list is empty, and the wins counters show zero for each.

Despite the absence of measured scores, the specification data provides a basis for comparison. The FP32 compute figures are the clearest indicator. The NVIDIA Rubin GPU at 130.0 TFLOPS is 2.72 times the AMD Radeon AI PRO R9700S at 47.84 TFLOPS. In terms of raw difference, the NVIDIA part leads by 82.16 TFLOPS.

FP16 performance shows an even larger gap. The NVIDIA Rubin GPU delivers 260.0 TFLOPS with a 2:1 ratio, while the AMD card delivers 47.84 TFLOPS with a 1:1 ratio. This means the NVIDIA part is 5.43 times higher in FP16 throughput. The ratio difference indicates NVIDIA prioritizes FP16, while AMD maintains parity between FP32 and FP16.

Memory bandwidth is another decisive area. The NVIDIA Rubin GPU's 22.1 TB/s is roughly 34 times the AMD card's 644.6 GB/s. The HBM4 memory type and 16384-bit bus drive this result. For workloads that saturate memory, such as large model inference or training, this bandwidth advantage is substantial.

Texture rate favors NVIDIA by a factor of 2.72, at 2,031.2 GTexel/s versus 747.5 GTexel/s. The 896 TMUs on the NVIDIA part overwhelm the 256 TMUs on the AMD part, despite the AMD card's higher boost clock of 2920 MHz versus 2267 MHz.

Pixel rate is the one metric where AMD leads. The R9700S achieves 373.8 GPixel/s, which is 6.87 times the Rubin GPU's 54.41 GPixel/s. The 128 ROPs on the AMD part versus 24 on the NVIDIA part explain this. For rasterization-heavy tasks, the AMD card has a clear advantage.

Shader throughput follows the shading unit count. The NVIDIA GPU has 28672 shading units, exactly seven times the AMD card's 4096. Clock speed differences reduce the effective ratio, but the NVIDIA part still leads overall.

The ray tracing comparison is incomplete. The AMD card has 64 dedicated RT cores, while the NVIDIA GPU has no RT core count recorded. The tensor core comparison is likewise one-sided: NVIDIA has 896 tensor cores, AMD has none recorded. This means AI acceleration is only available on the NVIDIA side according to the database.

Power efficiency can be derived from the TDP and performance figures. The AMD card produces 47.84 TFLOPS at 300 W, which is 0.159 TFLOPS per watt. The NVIDIA GPU produces 130.0 TFLOPS at 2300 W, which is 0.0565 TFLOPS per watt. The AMD card is roughly 2.82 times more efficient in FP32 per watt. However, the NVIDIA part's absolute performance is much higher.

The Verdict

The data points to two different products for two different environments. The AMD Radeon AI PRO R9700S is a workstation GPU. It has display outputs, a manageable 300 W TDP, and a compact dual-slot design. Its 47.84 TFLOPS FP32 and 373.8 GPixel/s pixel rate serve visualization and rasterization workloads. The 32 GB GDDR6 memory is sufficient for many professional graphics tasks. The DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 support means it can run standard graphics APIs.

The NVIDIA Rubin GPU is a server compute module. It has no display outputs, a 2300 W TDP, and an SXM form factor. Its 130.0 TFLOPS FP32, 260.0 TFLOPS FP16, and 22.1 TB/s bandwidth target data center compute. The 288 GB HBM4 memory allows larger working sets than the AMD card. The 896 tensor cores provide AI acceleration that the AMD part cannot match. The lack of API support for DirectX, OpenGL, and Vulkan suggests it is not designed for traditional graphics rendering.

The choice depends on the workload. For a workstation that needs to drive multiple displays and run standard graphics applications, the AMD Radeon AI PRO R9700S is the only option with the required outputs and API compatibility. For a server that processes large datasets with AI models, the NVIDIA Rubin GPU offers more compute and memory. The pixel rate advantage of the AMD card is irrelevant in a headless server, and the tensor core advantage of the NVIDIA card is irrelevant in a display-driven workstation.

The power requirements reinforce this split. A 700 W PSU is common in workstation builds. A 2700 W PSU is a data center power specification. The AMD card fits into existing workstation infrastructure. The NVIDIA module requires specialized server power delivery.

The release dates are close, with the AMD card on December 10, 2025, and the NVIDIA module on December 31, 2025. Both are active production parts. Neither has a launch MSRP in the database.

The database shows no benchmark scores for either GPU, so the analysis relies entirely on specifications. The FP32 and FP16 figures, memory bandwidth, and unit counts all point to the NVIDIA Rubin GPU as the higher-performance compute device. The AMD Radeon AI PRO R9700S counters with efficiency, display support, and a lower power footprint. The recorded data supports a clear conclusion: the AMD card serves graphics workstations, the NVIDIA module serves compute servers. The user who needs to see the result on a screen should pick the AMD card. The user who needs to process data without a display should pick the NVIDIA module.