AMD Radeon AI PRO 9600D vs NVIDIA GeForce RTX 5090 Comparison

The Verdict

The data presents a stark contrast between two workstation-oriented GPUs. The AMD Radeon AI PRO 9600D and the NVIDIA GeForce RTX 5090 are both active products, but they serve entirely different performance tiers. Benchmark records show the NVIDIA card holds a 92nd percentile ranking among all GPUs, while the AMD card sits at the 50th percentile. The RTX 5090 delivers a computed average score of 79,842 across recorded tests, and its closest measured rival is the NVIDIA Tesla P100 PCIe 16 GB, which trails by a marginal 0.3 percent. The Radeon AI PRO 9600D has no recorded benchmark scores or rival comparisons in the database, meaning its performance cannot be quantified against other cards at this time.

For users requiring maximum raw compute throughput, the RTX 5090 is the only defensible choice based on recorded data. Its FP32 output of 104.8 TFLOPS dwarfs the AMD card's 24.82 TFLOPS, and its 1.79 TB/s memory bandwidth is more than triple the AMD card's 576.0 GB/s. The RTX 5090 also carries dedicated tensor cores, which the AMD product lacks entirely. For users prioritizing power efficiency and physical footprint, the AMD card draws 150 W versus 575 W, occupies a single slot instead of dual slots, and runs on a 450 W suggested PSU rather than 950 W. The AMD card is the quieter, cooler, smaller option on paper. However, with no benchmark data recorded for the AMD product, any performance claims beyond its theoretical specifications remain unverified in this database.

Architecture Differences

The two GPUs come from different architectural lineages. AMD uses the Navi 48 chip built on RDNA 4.0 architecture, fabricated on a 4 nm TSMC process. NVIDIA uses the GB202 chip built on Blackwell 2.0 architecture, fabricated on a 5 nm TSMC process. AMD's chip contains 53,900 million transistors on a 357 mm² die, resulting in a transistor density of 151.0 million per mm². NVIDIA's chip contains 92,200 million transistors on a 750 mm² die, with a density of 122.9 million per mm². The AMD chip achieves higher packing density, while the NVIDIA chip uses a physically larger die to accommodate far more functional units.

The compute resources diverge sharply. AMD provides 3,072 shading units, 192 texture mapping units, 96 raster output units, and 48 ray tracing cores. NVIDIA provides 21,760 shading units, 680 TMUs, 176 ROPs, 170 RT cores, and 680 tensor cores. The tensor core presence is a fundamental architectural difference, as the AMD card reports no tensor core count at all. Both cards support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical. The memory subsystems also differ by generation: AMD uses 32 GB of GDDR6 on a 256-bit bus, while NVIDIA uses 32 GB of GDDR7 on a 512-bit bus. NVIDIA's memory clock runs at 1750 MHz (28 Gbps effective) versus AMD's 2250 MHz (18 Gbps effective), and the resulting bandwidth gap is substantial.

Clock behavior also differs. The AMD card has a base clock of 1080 MHz, a boost clock of 2020 MHz, and a game clock of 1080 MHz. The NVIDIA card has a base clock of 2017 MHz and a boost clock of 2407 MHz, with no game clock specified. Despite the AMD card's lower clocks, its power draw is far lower. The AMD card lists a TDP of 150 W, while the NVIDIA card lists 575 W. Both use a single 16-pin power connector, but the suggested PSU ratings differ at 450 W versus 950 W. Physical dimensions show the AMD card at 241 mm length, 111 mm height, and 19 mm width, versus the NVIDIA card at 304 mm, 137 mm, and 40 mm. Display outputs differ as well: AMD provides one DisplayPort 2.1a, while NVIDIA provides one HDMI 2.1b and three DisplayPort 2.1b ports.

FAQ

Q: Which card has more memory bandwidth?

A: The NVIDIA GeForce RTX 5090 has 1.79 TB/s of bandwidth, which is 3.1 times the AMD Radeon AI PRO 9600D's 576.0 GB/s. The NVIDIA card uses GDDR7 memory on a 512-bit bus, while the AMD card uses GDDR6 on a 256-bit bus.

Q: Does the AMD card have tensor cores?

A: No, the AMD Radeon AI PRO 9600D reports no tensor core count. The NVIDIA GeForce RTX 5090 includes 680 tensor cores, which are dedicated hardware for AI and machine learning workloads.

Q: What are the power requirements for each card?

A: The AMD card has a 150 W TDP and a suggested 450 W PSU. The NVIDIA card has a 575 W TDP and a suggested 950 W PSU. Both use a single 16-pin power connector.

Q: Which card has a higher boost clock?

A: The NVIDIA GeForce RTX 5090 has a boost clock of 2407 MHz, while the AMD Radeon AI PRO 9600D has a boost clock of 2020 MHz. The NVIDIA card also has a higher base clock at 2017 MHz versus 1080 MHz.

Q: How do the physical sizes compare?

A: The AMD card is 241 mm long, 111 mm tall, and 19 mm wide, fitting a single-slot design. The NVIDIA card is 304 mm long, 137 mm tall, and 40 mm wide, requiring a dual-slot design.

Q: Are both cards currently in production?

A: Yes, both the AMD Radeon AI PRO 9600D and the NVIDIA GeForce RTX 5090 have an active production status in the database. The AMD card was released on 2025-12-10, and the NVIDIA card on 2025-01-29.

Specification Differences

The two cards differ across nearly every major specification field. The process node differs: AMD uses 4 nm, NVIDIA uses 5 nm. Transistor counts differ at 53,900 million for AMD versus 92,200 million for NVIDIA. Die size differs at 357 mm² versus 750 mm². Transistor density differs at 151.0M per mm² versus 122.9M per mm². Base clocks differ at 1080 MHz versus 2017 MHz. Boost clocks differ at 2020 MHz versus 2407 MHz. Memory clock differs at 2250 MHz (18 Gbps effective) versus 1750 MHz (28 Gbps effective). Memory type differs: GDDR6 versus GDDR7. Bus width differs at 256-bit versus 512-bit. Bandwidth differs at 576.0 GB/s versus 1.79 TB/s. Shading units differ at 3,072 versus 21,760. TMUs differ at 192 versus 680. ROPs differ at 96 versus 176. RT cores differ at 48 versus 170. Tensor cores are absent on AMD versus 680 on NVIDIA. Pixel rate differs at 193.9 GPixel/s versus 423.6 GPixel/s. Texture rate differs at 387.8 GTexel/s versus 1,636.8 GTexel/s. FP32 throughput differs at 24.82 TFLOPS versus 104.8 TFLOPS. FP16 throughput similarly differs at 24.82 TFLOPS versus 104.8 TFLOPS, both at 1:1 ratios. TDP differs at 150 W versus 575 W. Slot width differs at single-slot versus dual-slot. Suggested PSU differs at 450 W versus 950 W. Display outputs differ at one DisplayPort 2.1a versus one HDMI 2.1b and three DisplayPort 2.1b ports. Dimensions differ in all three axes. Release dates differ. The NVIDIA card has a launch MSRP of 1,999 USD, while the AMD card has no recorded launch MSRP.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between the AMD Radeon AI PRO 9600D and the NVIDIA GeForce RTX 5090. The head-to-head benchmark array is empty, and the win counts for both cards are zero. The AMD card has no benchmark scores recorded at all, while the NVIDIA card has ten recorded test results.

For the NVIDIA card, the recorded benchmarks show a wide range of performance across different workloads. The 3DMark Steel Nomad DX12 test produced a score of 18,355. Geekbench OpenCL produced 334,370, and Geekbench Vulkan produced 376,728. PassMark tests show G3D at 39,650, GPU Compute at 26,756, G2D at 1,413, DirectX 9 at 395, DirectX 11 at 341, DirectX 10 at 226, and DirectX 12 at 185. These scores place the card at the 92nd percentile among all GPUs, with an average benchmark score of 79,842.

The nearest rivals in the database for the NVIDIA card are all older NVIDIA or AMD workstation parts. The NVIDIA Tesla P100 PCIe 16 GB scores 79,605, which is 0.3 percent lower. The NVIDIA Tesla P100 PCIe 12 GB scores 79,396, 0.6 percent lower. The AMD Radeon RX 6850M XT scores 78,940, 1.1 percent lower. The AMD Radeon Pro Vega 64X scores 80,959, which is 1.4 percent higher than the RTX 5090's average. These small deltas indicate that the RTX 5090's average score sits in a tightly clustered range among these rivals, despite the massive architectural differences between generations.

Since the AMD card has no benchmark entries, no direct numerical comparison can be made. The only comparative data comes from theoretical specifications. The NVIDIA card's FP32 compute of 104.8 TFLOPS is 4.2 times the AMD card's 24.82 TFLOPS. The NVIDIA card's texture rate of 1,636.8 GTexel/s is 4.2 times the AMD card's 387.8 GTexel/s. The NVIDIA card's pixel rate of 423.6 GPixel/s is 2.2 times the AMD card's 193.9 GPixel/s. The NVIDIA card's bandwidth of 1.79 TB/s is 3.1 times the AMD card's 576.0 GB/s. These ratios indicate that the NVIDIA card holds a commanding theoretical advantage in every throughput metric.

Where Each One Wins

Based strictly on recorded data, the NVIDIA GeForce RTX 5090 wins in all measurable performance categories. It has higher FP32 and FP16 compute, higher pixel and texture rates, greater memory bandwidth, more shading units, more RT cores, and the only tensor cores between the two. Its benchmark scores confirm strong performance across DirectX, OpenCL, Vulkan, and compute workloads. The card's 92nd percentile ranking places it above nearly all other GPUs in the database. For any workload that demands raw throughput, including rendering, compute, AI inference, or high-resolution gaming, the recorded data points exclusively to the NVIDIA card.

The AMD Radeon AI PRO 9600D wins in efficiency and physical integration. Its 150 W TDP is 425 W lower than the NVIDIA card's 575 W, and its suggested PSU of 450 W is 500 W lower. The single-slot design at 241 mm length, 111 mm height, and 19 mm width makes it substantially more compact than the dual-slot NVIDIA card at 304 mm, 137 mm, and 40 mm. The AMD card also uses a 4 nm process versus 5 nm, achieving a higher transistor density of 151.0M per mm² versus 122.9M per mm². For systems with tight power budgets, limited chassis space, or lower-capacity PSUs, the AMD card presents a more manageable integration path. However, the absence of recorded benchmark scores for the AMD card means its actual performance in these scenarios remains unverified in this database. The NVIDIA card remains the performance leader by every recorded metric, while the AMD card offers the more energy-conscious and space-efficient alternative.