AMD Radeon AI PRO 9600D vs NVIDIA RTX 5000 Embedded Ada Generation Comparison

Head-to-Head Benchmarks

The database contains no recorded head-to-head benchmark results for the AMD Radeon AI PRO 9600D versus the NVIDIA RTX 5000 Embedded Ada Generation. Both parts sit at the 50th percentile against all GPUs, and their average benchmark scores are zero in both cases. Consequently, there are no win counts to attribute to either side, and no exact performance deltas can be derived from direct comparisons.

What the recorded data does show is the theoretical compute ceiling each architecture brings to the table. The NVIDIA part delivers 32.69 TFLOPS of FP32 throughput, while the AMD part delivers 24.82 TFLOPS. That is a 7.87 TFLOPS gap in favor of NVIDIA, representing roughly 31.7% higher raw FP32 compute. The texture rate tells a similar story: NVIDIA posts 510.7 GTexel/s against AMD's 387.8 GTexel/s, a 122.9 GTexel/s advantage. The pixel rates are nearly identical, with AMD at 193.9 GPixel/s and NVIDIA at 188.2 GPixel/s, a margin of only 5.7 GPixel/s.

The absence of measured benchmark results means these figures remain theoretical maxima. Real-world application performance would depend on driver behavior, workload characteristics, and thermal constraints, none of which are captured in the database for this pairing. The data confirms that NVIDIA holds a clear compute and texture throughput lead on paper, while rasterization pixel throughput is effectively a tie.

Architecture Differences

The two GPUs come from different foundry nodes and architecture families. AMD uses a 4 nm process at TSMC, while NVIDIA uses a 5 nm process, also at TSMC. The AMD chip, Navi 48, measures 357 mm² and contains 53,900 million transistors, giving a density of 151.0 million transistors per square millimeter. The NVIDIA chip, AD103, measures 379 mm² and contains 45,900 million transistors, yielding a density of 121.1 million per square millimeter. AMD's smaller die with more transistors indicates a denser layout, while NVIDIA's larger die uses a looser packing.

AMD's RDNA 4.0 architecture relies on 3,072 shading units, 192 texture mapping units, and 96 render output units. It carries 48 ray tracing cores and no tensor cores. NVIDIA's Ada Lovelace architecture fields 9,728 shading units, 304 TMUs, and 112 ROPs. It includes 76 ray tracing cores and 304 tensor cores. The shading unit count is over three times higher on NVIDIA, and the tensor core presence is exclusive to NVIDIA. AMD has no tensor core equivalent listed.

Memory configurations are similar in type and bandwidth but differ in capacity. Both use GDDR6 on a 256 bit bus, and both achieve 576.0 GB/s. AMD carries 32 GB, double NVIDIA's 16 GB. Clock behavior differs: AMD runs a base of 1080 MHz and a boost of 2020 MHz, while NVIDIA runs a base of 930 MHz and a boost of 1680 MHz. AMD's higher clocks partially offset its lower core count, but the FP32 figures show NVIDIA still leads.

Power and physical design diverge substantially. AMD is rated at 150 W TDP, uses a single 16-pin power connector, and occupies a single-slot form factor with dimensions of 241 mm length, 111 mm height, and 19 mm width. NVIDIA is rated at 120 W TDP, uses no power connectors, and is classified as an IGP (integrated graphics processor) with dimensions listed as portable device dependent. The bus interface also differs: AMD uses PCIe 5.0 x16, while NVIDIA uses PCIe 4.0 x16. Display outputs are another split: AMD provides 1x DisplayPort 2.1a, while NVIDIA's outputs are portable device dependent.

Generation lineage places AMD in the Radeon Pro Navi (Navi IV Series) with a predecessor of Radeon Pro Vega. NVIDIA sits in the Ada-MW generation, succeeding Ampere-MW and preceding Blackwell-MW. Release dates differ by over two years: AMD launched December 10, 2025, while NVIDIA launched March 20, 2023. Both are listed as active production parts.

FAQ

Q: Which GPU has more memory, and what is the exact capacity difference?

A: The AMD Radeon AI PRO 9600D has 32 GB of GDDR6 memory, while the NVIDIA RTX 5000 Embedded Ada Generation has 16 GB. The AMD part holds exactly twice the memory capacity.

Q: Do both GPUs have the same memory bandwidth?

A: Yes. Both use GDDR6 memory on a 256 bit bus, and both achieve 576.0 GB/s of bandwidth. The memory clock is also identical at 2250 MHz, or 18 Gbps effective.

Q: What is the FP32 compute difference between the two cards?

A: NVIDIA delivers 32.69 TFLOPS of FP32 compute, while AMD delivers 24.82 TFLOPS. NVIDIA leads by 7.87 TFLOPS, which is approximately 31.7% higher than AMD's figure.

Q: Does either GPU include tensor cores?

A: Only the NVIDIA RTX 5000 Embedded Ada Generation lists tensor cores, with 304 units. The AMD Radeon AI PRO 9600D has no tensor core count listed in the database.

Q: Which GPU has a higher boost clock?

A: The AMD Radeon AI PRO 9600D boosts to 2020 MHz, while the NVIDIA part boosts to 1680 MHz. AMD's boost clock is 340 MHz higher.

Q: Are both GPUs the same physical form factor?

A: No. AMD is a single-slot card measuring 241 mm by 111 mm by 19 mm with a 16-pin power connector. NVIDIA is an IGP with no power connectors and portable device dependent dimensions.

Specification Differences

| Specification | AMD Radeon AI PRO 9600D | NVIDIA RTX 5000 Embedded Ada Generation |

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

| Process node | 4 nm | 5 nm |

| Transistors | 53,900 million | 45,900 million |

| Die size | 357 mm² | 379 mm² |

| Transistor density | 151.0M / mm² | 121.1M / mm² |

| Base clock | 1080 MHz | 930 MHz |

| Boost clock | 2020 MHz | 1680 MHz |

| Memory size | 32 GB | 16 GB |

| Shading units | 3072 | 9728 |

| TMUs | 192 | 304 |

| ROPs | 96 | 112 |

| Ray tracing cores | 48 | 76 |

| Tensor cores | None | 304 |

| Pixel rate | 193.9 GPixel/s | 188.2 GPixel/s |

| Texture rate | 387.8 GTexel/s | 510.7 GTexel/s |

| FP32 | 24.82 TFLOPS | 32.69 TFLOPS |

| TDP | 150 W | 120 W |

| Slot width | Single-slot | IGP |

| Power connectors | 1x 16-pin | None |

| Suggested PSU | 450 W | None |

| Bus interface | PCIe 5.0 x16 | PCIe 4.0 x16 |

| Display outputs | 1x DisplayPort 2.1a | Portable Device Dependent |

| Dimensions | 241 mm x 111 mm x 19 mm | None listed |

| Release date | 2025-12-10 | 2023-03-20 |

| Predecessor | Radeon Pro Vega | Ampere-MW |

| Successor | None | Blackwell-MW |

The two GPUs share identical memory bandwidth, memory type, memory bus width, memory clock, DirectX version (12 Ultimate 12_2), OpenGL version (4.6), and Vulkan version (1.4). They also share the same foundry, TSMC, and the same boost memory clock of 2250 MHz.

The Verdict

The recorded data points to a clear split between compute throughput and memory capacity. NVIDIA holds the advantage in raw FP32 compute, texture rate, shading unit count, ray tracing core count, and tensor core presence. AMD holds the advantage in memory capacity, boost clock, transistor density, pixel rate (by a narrow margin), and PCIe generation.

For workloads that depend on massive memory allocation, such as large dataset inference or high-resolution rendering scenes, the AMD part's 32 GB capacity is a decisive factor. The database shows no competing GPU in this comparison with more memory. For workloads that depend on raw shader throughput, tensor operations, or ray tracing, the NVIDIA part's specifications are dominant. Its 32.69 TFLOPS FP32 figure and 304 tensor cores are the strongest numbers in this pairing.

Power consumption favors NVIDIA at 120 W versus 150 W, which is notable for embedded deployments. The IGP form factor with no power connectors indicates NVIDIA's part is designed for integration into portable systems, while AMD's single-slot card with a 16-pin connector targets more conventional chassis. The release timeline also matters: NVIDIA shipped in March 2023, while AMD shipped in December 2025. Neither part has recorded benchmark scores, so the verdict rests entirely on architectural specifications.

Where Each One Wins

The AMD Radeon AI PRO 9600D wins in memory capacity scenarios. Its 32 GB GDDR6 is twice the NVIDIA part's 16 GB, which directly impacts the maximum dataset size or scene complexity that can reside in video memory. It also wins on clock speed, with a 2020 MHz boost versus 1680 MHz, and on pixel rate at 193.9 GPixel/s versus 188.2 GPixel/s. The PCIe 5.0 x16 interface provides twice the bus generation of NVIDIA's PCIe 4.0 x16, which matters for host-to-device data transfer in bandwidth-sensitive workflows. The 4 nm process node and higher transistor density (151.0M / mm² versus 121.1M / mm²) indicate a more compact and denser implementation.

The NVIDIA RTX 5000 Embedded Ada Generation wins in compute throughput scenarios. Its 32.69 TFLOPS FP32 is the highest compute figure in this comparison. The texture rate of 510.7 GTexel/s exceeds AMD's 387.8 GTexel/s by a substantial margin. The 9,728 shading units, 304 TMUs, and 112 ROPs all outnumber AMD's corresponding units. The 76 ray tracing cores and 304 tensor cores provide hardware acceleration for ray tracing and AI workloads that AMD cannot match, as AMD lists no tensor cores. The lower 120 W TDP and IGP form factor make it suitable for power-constrained embedded systems. The earlier release date of March 2023 also means the NVIDIA part has been in the field longer.