AMD Radeon AI PRO 9600D vs NVIDIA H100 CNX Comparison

# Where Each One Wins

The recorded data shows a fundamental split between these two accelerators, with the AMD Radeon AI PRO 9600D and NVIDIA H100 CNX occupying different performance domains. The AMD part is built around the Navi 48 chip with RDNA 4.0 architecture, a 4 nm process, and 32 GB of GDDR6 memory on a 256-bit bus. The NVIDIA part uses the GH100 chip with Hopper architecture, a 5 nm process, and 80 GB of HBM2e memory on a 5120-bit bus. Neither part has recorded benchmark scores in the database, so the analysis relies on architectural specifications and computed throughput figures.

Where the AMD Radeon AI PRO 9600D wins is in pixel processing and rasterization work. Its pixel rate of 193.9 GPixel/s is substantially higher than the NVIDIA H100 CNX's 44.28 GPixel/s. This indicates the AMD card is better suited to tasks that push large numbers of pixels, such as graphics rendering, display output, and traditional raster workloads. The AMD card also carries a single DisplayPort 2.1a output, whereas the NVIDIA part has no display outputs at all, confirming that the H100 CNX is not intended for any visual output role.

The NVIDIA H100 CNX wins in compute throughput and memory bandwidth. Its FP32 rate of 53.84 TFLOPS more than doubles the AMD card's 24.82 TFLOPS. In FP16 workloads, the gap widens dramatically: the H100 CNX reaches 215.4 TFLOPS with a 4:1 ratio, while the AMD part delivers 24.82 TFLOPS at a 1:1 ratio. Memory bandwidth also favors NVIDIA heavily, with 2.04 TB/s versus 576.0 GB/s. Texture rate follows the same pattern, with the H100 CNX at 841.3 GTexel/s versus 387.8 GTexel/s for the AMD part.

The AMD card wins on power efficiency per watt in raster tasks, but the H100 CNX wins on absolute compute density. The AMD part draws 150 W, while the NVIDIA part draws 350 W. The AMD card is single-slot with a 16-pin connector and a suggested 450 W power supply, while the H100 CNX is dual-slot with an 8-pin EPS connector and a suggested 750 W power supply.

# Architecture Differences

The two GPUs diverge at nearly every architectural level. The AMD Radeon AI PRO 9600D uses the Navi 48 chip built on RDNA 4.0, a 4 nm TSMC process, and packs 53,900 million transistors on a 357 mm² die. That works out to a transistor density of 151.0M per mm². The NVIDIA H100 CNX uses the GH100 chip built on Hopper architecture, a 5 nm TSMC process, and contains 80,000 million transistors on an 814 mm² die, giving a density of 98.3M per mm². The AMD chip is smaller and denser, while the NVIDIA chip is larger and less dense but carries far more transistors overall.

Shader resources differ sharply. The AMD card has 3,072 shading units, 192 TMUs, 96 ROPs, and 48 ray tracing cores. The NVIDIA card has 14,592 shading units, 456 TMUs, 24 ROPs, and 456 tensor cores. The NVIDIA part has no listed ray tracing cores, while the AMD part has no listed tensor cores. This makes the H100 CNX a tensor-heavy compute device and the Radeon AI PRO 9600D a ray tracing capable graphics card.

Memory architecture is another major split. The AMD card uses 32 GB of GDDR6 on a 256-bit bus, delivering 576.0 GB/s. The NVIDIA card uses 80 GB of HBM2e on a 5120-bit bus, delivering 2.04 TB/s. The H100 CNX has 2.5 times the memory capacity and roughly 3.5 times the bandwidth. The AMD card's memory clock runs at 2250 MHz (18 Gbps effective), while the NVIDIA card's memory runs at 1593 MHz (3.2 Gbps effective); the HBM2e's wider bus compensates for the lower clock.

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 690 MHz and a boost clock of 1845 MHz, with no game clock listed. The AMD part boosts higher, but the NVIDIA part relies on its massive shader count to achieve higher throughput.

API support separates the two clearly. The AMD card supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA card lists no DirectX, OpenGL, or Vulkan support at all. That absence confirms the H100 CNX is a compute-oriented server accelerator, while the Radeon AI PRO 9600D is a full graphics-capable workstation part.

# Head-to-Head Benchmarks

The database contains no head-to-head benchmark entries for these two GPUs, and neither card has any individual benchmark scores recorded. The comparison must therefore be drawn from the specification-level throughput values, which are part of the recorded data.

The biggest win for the NVIDIA H100 CNX is in FP16 compute. The H100 CNX delivers 215.4 TFLOPS, which is 8.7 times the AMD card's 24.82 TFLOPS. This is the largest single margin in the comparison. FP32 compute also favors NVIDIA by a factor of 2.2, with 53.84 TFLOPS versus 24.82 TFLOPS.

Memory bandwidth is the second-largest margin. The H100 CNX's 2.04 TB/s is roughly 3.5 times the AMD card's 576.0 GB/s. Texture rate favors NVIDIA by a factor of 2.2, with 841.3 GTexel/s versus 387.8 GTexel/s.

The AMD Radeon AI PRO 9600D wins the pixel rate contest decisively. Its 193.9 GPixel/s is 4.4 times the H100 CNX's 44.28 GPixel/s. ROP count supports this: the AMD card has 96 ROPs versus 24 on the NVIDIA part. The NVIDIA part's low ROP count and lack of display outputs confirm it is not designed for rasterization.

Clock speeds favor AMD in raw frequency. The AMD boost clock of 2020 MHz exceeds the H100 CNX's 1845 MHz boost, and the AMD base clock of 1080 MHz is well above the NVIDIA base of 690 MHz. However, the NVIDIA part compensates with 14,592 shading units versus 3,072, a 4.75 times advantage in shader count.

Power draw favors AMD in absolute terms. The Radeon AI PRO 9600D uses 150 W, less than half of the H100 CNX's 350 W. The suggested PSU reflects this: 450 W for the AMD card versus 750 W for the NVIDIA card. The AMD part is also physically smaller at 241 mm length versus 267 mm for the NVIDIA card, and single-slot versus dual-slot.

# FAQ

Q: Which GPU has higher FP32 compute?

A: The NVIDIA H100 CNX delivers 53.84 TFLOPS FP32, while the AMD Radeon AI PRO 9600D delivers 24.82 TFLOPS. The NVIDIA part holds a 2.2 times advantage.

Q: Which GPU has more memory bandwidth?

A: The NVIDIA H100 CNX has 2.04 TB/s from 80 GB of HBM2e on a 5120-bit bus. The AMD Radeon AI PRO 9600D has 576.0 GB/s from 32 GB of GDDR6 on a 256-bit bus.

Q: Can the NVIDIA H100 CNX output video to a display?

A: No. The NVIDIA H100 CNX has no display outputs. The AMD Radeon AI PRO 9600D has a single DisplayPort 2.1a output.

Q: Which GPU supports DirectX and Vulkan?

A: The AMD Radeon AI PRO 9600D supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA H100 CNX lists no DirectX, OpenGL, or Vulkan support.

Q: How do the transistor counts compare?

A: The NVIDIA H100 CNX has 80,000 million transistors on an 814 mm² die. The AMD Radeon AI PRO 9600D has 53,900 million transistors on a 357 mm² die.

Q: What are the power requirements for each card?

A: The AMD Radeon AI PRO 9600D has a 150 W TDP with a suggested 450 W power supply and a single 16-pin connector. The NVIDIA H100 CNX has a 350 W TDP with a suggested 750 W power supply and an 8-pin EPS connector.

# The Verdict

The data points to two different deployment profiles. The AMD Radeon AI PRO 9600D is a single-slot, 150 W graphics-capable workstation card with 32 GB of GDDR6, a DisplayPort 2.1a output, and full DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 support. Its 193.9 GPixel/s pixel rate and 96 ROPs make it the choice for raster-heavy graphics workloads that require display output and a compact physical footprint.

The NVIDIA H100 CNX is a dual-slot, 350 W server accelerator with no display outputs, no graphics API support, and a compute-oriented design. Its 53.84 TFLOPS FP32, 215.4 TFLOPS FP16, 456 tensor cores, and 2.04 TB/s memory bandwidth position it for large-scale compute, tensor operations, and memory-intensive server workloads. The 80 GB HBM2e capacity and 5120-bit bus provide the memory headroom that the AMD card cannot match.

Neither card should be chosen for the other's primary domain. The H100 CNX's 44.28 GPixel/s pixel rate and 24 ROPs make it unsuitable for raster graphics, and its lack of display outputs rules out any workstation visual role. The Radeon AI PRO 9600D's 24.82 TFLOPS FP32 and absence of tensor cores limit its appeal for high-throughput compute and AI inference. The AMD part is the graphics and display device; the NVIDIA part is the compute and tensor device. The specification data supports no overlap beyond both being active production parts with PCIe 5.0 x16 interfaces.

# Specification Differences

| Field | AMD Radeon AI PRO 9600D | NVIDIA H100 CNX |

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

| Architecture | RDNA 4.0 | Hopper |

| Process Node | 4 nm | 5 nm |

| Transistors | 53,900 million | 80,000 million |

| Die Size | 357 mm² | 814 mm² |

| Transistor Density | 151.0M / mm² | 98.3M / mm² |

| Base Clock | 1080 MHz | 690 MHz |

| Boost Clock | 2020 MHz | 1845 MHz |

| Memory Size | 32 GB | 80 GB |

| Memory Type | GDDR6 | HBM2e |

| Memory Bus Width | 256 bit | 5120 bit |

| Memory Bandwidth | 576.0 GB/s | 2.04 TB/s |

| Shading Units | 3072 | 14592 |

| TMUs | 192 | 456 |

| ROPs | 96 | 24 |

| Tensor Cores | None listed | 456 |

| Ray Tracing Cores | 48 | None listed |

| Pixel Rate | 193.9 GPixel/s | 44.28 GPixel/s |

| Texture Rate | 387.8 GTexel/s | 841.3 GTexel/s |

| FP32 | 24.82 TFLOPS | 53.84 TFLOPS |

| FP16 | 24.82 TFLOPS (1:1) | 215.4 TFLOPS (4:1) |

| TDP | 150 W | 350 W |

| Slot Width | Single-slot | Dual-slot |

| Power Connectors | 1x 16-pin | 8-pin EPS |

| Suggested PSU | 450 W | 750 W |

| Display Outputs | 1x DisplayPort 2.1a | No outputs |

| DirectX | 12 Ultimate (12_2) | None listed |

| OpenGL | 4.6 | None listed |

| Vulkan | 1.4 | None listed |

| Length | 241 mm (9.5 inches) | 267 mm (10.5 inches) |

| Height | 111 mm (4.4 inches) | 111 mm (4.4 inches) |

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

| Production Status | Active | Active |