AMD Radeon AI PRO 9600D vs NVIDIA RTX A1000 Comparison

Where Each One Wins

The recorded data splits cleanly between these two workstation cards. The AMD Radeon AI PRO 9600D holds advantages in raw compute throughput, memory capacity, and interface bandwidth. The NVIDIA RTX A1000 counters with a smaller physical footprint, lower power draw, and a broader set of display outputs.

For compute-heavy workloads, the AMD card delivers 24.82 TFLOPS FP32 performance versus 6.737 TFLOPS for the NVIDIA card. That is a 3.68x advantage in raw shader output. The AMD card also ships with 32 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. The NVIDIA card has 8 GB on a 128-bit bus at 192.0 GB/s. Memory capacity is 4x higher on the AMD side, while bandwidth is exactly 3x higher.

The AMD card uses a PCIe 5.0 x16 interface, while the NVIDIA card uses PCIe 4.0 x8. That difference affects data transfer rates between the GPU and host system, particularly for datasets that exceed local VRAM. The AMD card also has more texture units (192 versus 72) and more ROPs (96 versus 32), which translates directly to higher fill rates: 387.8 GTexel/s and 193.9 GPixel/s for AMD versus 105.3 GTexel/s and 46.78 GPixel/s for NVIDIA.

The NVIDIA card wins on power efficiency and physical size. Its 50 W TDP is one-third of the AMD card's 150 W TDP. It requires no external power connectors, while the AMD card needs a single 16-pin connector. The NVIDIA card measures 163 mm in length and 69 mm in height, compared to 241 mm and 111 mm for the AMD card. Both are single-slot designs. The NVIDIA card also provides four mini-DisplayPort 1.4a outputs, while the AMD card provides a single DisplayPort 2.1a output.

FAQ

Q: Which card has more memory bandwidth?

A: The AMD Radeon AI PRO 9600D delivers 576.0 GB/s, which is exactly 3x the 192.0 GB/s of the NVIDIA RTX A1000.

Q: How do their FP32 compute performances compare?

A: The AMD card reaches 24.82 TFLOPS, while the NVIDIA card reaches 6.737 TFLOPS. The AMD card delivers about 3.68x the FP32 throughput.

Q: Which card consumes less power?

A: The NVIDIA RTX A1000 has a 50 W TDP and requires no external power connectors. The AMD Radeon AI PRO 9600D has a 150 W TDP and needs a 16-pin power connector.

Q: What benchmark data exists for the NVIDIA card?

A: The database has three recorded scores for the RTX A1000: 969 in 3DMark Steel Nomad DX12, 52078 in Geekbench OpenCL, and 49574 in Geekbench Vulkan. Its average benchmark score is 34207, placing it in the 79th percentile of all GPUs.

Q: Are there any recorded benchmark scores for the AMD card?

A: No. The database lists no benchmark entries for the Radeon AI PRO 9600D, and its average benchmark score is recorded as 0 with a 50th percentile placement.

Q: Which card has more ray tracing cores?

A: The AMD card has 48 RT cores. The NVIDIA card has 18 RT cores. The NVIDIA card also includes 72 tensor cores, while the AMD card has no tensor core count listed.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark comparisons between these two cards. The winsA and winsB fields are both zero. However, the available specification data and the NVIDIA card's recorded benchmark scores allow for meaningful analysis.

The NVIDIA RTX A1000's average benchmark score of 34207 puts it in the 79th percentile of all GPUs. Its nearest rivals in the database are tightly clustered: NVIDIA RTX A2000 12 GB at 34154 (0.2% higher), AMD Radeon RX 560 XT at 34133 (0.2% higher), NVIDIA TITAN V at 34355 (0.4% lower), and AMD Radeon RX 480 at 33997 (0.6% higher). This clustering indicates the RTX A1000 sits in a competitive performance band where small percentage differences separate cards.

The 3DMark Steel Nomad DX12 score of 969 represents the card's DirectX 12 gaming and compute workload performance. The Geekbench OpenCL score of 52078 and Vulkan score of 49574 show strong general-purpose compute throughput. The Vulkan score trails OpenCL by about 4.8%, suggesting the card's compute performance is consistent across both APIs.

For the AMD Radeon AI PRO 9600D, the absence of benchmark scores means the database cannot place it relative to the RTX A1000 in actual workload testing. What the recorded data does show is a massive specification gap. The AMD card's FP32 throughput is 24.82 TFLOPS versus 6.737 TFLOPS, a 3.68x difference. Its texture rate is 387.8 GTexel/s versus 105.3 GTexel/s, a 3.68x difference. Its pixel rate is 193.9 GPixel/s versus 46.78 GPixel/s, a 4.14x difference.

The memory subsystem gap is equally pronounced. The AMD card's 576.0 GB/s bandwidth and 32 GB capacity dwarf the NVIDIA card's 192.0 GB/s and 8 GB. For workloads that scale with memory size or bandwidth, such as large model inference, rendering scenes with high-resolution textures, or data-parallel compute tasks, the AMD card's specifications suggest a substantial advantage.

The NVIDIA card's 72 tensor cores provide dedicated hardware for AI and deep learning inference. The AMD card has no tensor core count listed in the database. This is a functional difference: the NVIDIA card has hardware specifically for tensor operations, while the AMD card relies on its general-purpose shader units for such workloads.

Specification Differences

The two cards differ across nearly every recorded specification field. The AMD Radeon AI PRO 9600D uses a Navi 48 chip with RDNA 4.0 architecture, built on a 4 nm TSMC process. The NVIDIA RTX A1000 uses a GA107 chip with Ampere architecture, built on an 8 nm Samsung process. Transistor counts differ massively: 53,900 million for AMD versus 8,700 million for NVIDIA. Die sizes are 357 mm² for AMD and 200 mm² for NVIDIA, giving transistor densities of 151.0M per mm² and 43.5M per mm² respectively.

Clock speeds differ. The AMD card has a 1080 MHz base clock and 2020 MHz boost clock. The NVIDIA card has a 727 MHz base clock and 1462 MHz boost clock. The AMD card's memory runs at 2250 MHz (18 Gbps effective), while the NVIDIA card's memory runs at 1500 MHz (12 Gbps effective).

Memory configurations diverge completely. The AMD card has 32 GB GDDR6 on a 256-bit bus. The NVIDIA card has 8 GB GDDR6 on a 128-bit bus. Bandwidth is 576.0 GB/s versus 192.0 GB/s.

Compute unit counts follow the same pattern. The AMD card has 3072 shading units, 192 TMUs, 96 ROPs, and 48 RT cores. The NVIDIA card has 2304 shading units, 72 TMUs, 32 ROPs, 18 RT cores, and 72 tensor cores.

Power requirements differ substantially. The AMD card has a 150 W TDP and requires a 450 W suggested PSU. The NVIDIA card has a 50 W TDP and requires a 250 W suggested PSU. The AMD card needs one 16-pin power connector; the NVIDIA card needs none.

Physical dimensions and display outputs also differ. The AMD card is 241 mm long and 111 mm high, with one DisplayPort 2.1a output. The NVIDIA card is 163 mm long and 69 mm high, with four mini-DisplayPort 1.4a outputs. Both use PCIe, but the AMD card uses x16 Gen 5 while the NVIDIA card uses x8 Gen 4.

Release dates differ by over a year and a half: the NVIDIA card launched in April 2024, the AMD card in December 2025. The NVIDIA card's predecessor is Quadro Turing and its successor is Workstation Ada. The AMD card's predecessor is Radeon Pro Vega, with no successor listed.

Architecture Differences

The architectural split between these cards reflects two different design philosophies from two different process nodes. The AMD Radeon AI PRO 9600D uses RDNA 4.0, the latest graphics architecture from AMD, fabricated on TSMC's 4 nm node. The NVIDIA RTX A1000 uses Ampere, NVIDIA's workstation architecture from the prior generation, fabricated on Samsung's 8 nm node.

The 4 nm versus 8 nm process difference explains much of the transistor density gap. The AMD die packs 151.0M transistors per mm², while the NVIDIA die manages 43.5M per mm². The AMD die is larger at 357 mm², but the density advantage means it fits 53,900 million transistors versus 8,700 million on the NVIDIA die.

RDNA 4.0 introduces a redesigned compute unit layout compared to NVIDIA's Ampere. The AMD card uses 3072 shading units arranged with 192 TMUs and 96 ROPs. The NVIDIA card uses 2304 shading units with 72 TMUs and 32 ROPs. The AMD card's RT core count is 48 versus 18 for NVIDIA, but the NVIDIA card includes 72 tensor cores while the AMD card has no tensor core count listed.

Memory architecture differs in bus width and capacity. The AMD card's 256-bit interface supports 32 GB of GDDR6. The NVIDIA card's 128-bit interface supports 8 GB. Both use GDDR6 memory, but the AMD card runs it at a higher effective speed: 18 Gbps versus 12 Gbps.

The PCIe interface differs by one generation and one lane count. The AMD card uses PCIe 5.0 x16, which provides more bidirectional bandwidth for host communication. The NVIDIA card uses PCIe 4.0 x8, which provides less. This matters for workloads that stream data between system memory and GPU memory.

Display output capabilities differ in both count and standard. The AMD card has a single DisplayPort 2.1a output. The NVIDIA card has four mini-DisplayPort 1.4a outputs. DisplayPort 2.1a supports higher data rates than 1.4a, but the NVIDIA card supports more simultaneous displays.

The API support is identical: both cards list DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The underlying hardware implementations differ, but the exposed API surface matches.

The Verdict

The database shows two workstation cards with fundamentally different positioning. The AMD Radeon AI PRO 9600D targets workloads that demand maximum compute throughput, memory capacity, and bandwidth. Its 24.82 TFLOPS FP32, 32 GB VRAM, and 576.0 GB/s bandwidth place it in a different performance class than the NVIDIA RTX A1000 on paper.

The NVIDIA RTX A1000 targets efficiency and compactness. Its 50 W TDP, lack of external power connectors, and 163 mm length make it suitable for space-constrained or power-constrained systems. Its recorded benchmark scores place it in the 79th percentile of all GPUs, with an average score of 34207 and tight clustering among its nearest rivals.

The absence of benchmark scores for the AMD card in the database means its real-world performance cannot be verified against the NVIDIA card's recorded results. The specification sheet, however, indicates a decisive advantage for AMD in raw compute and memory throughput. The NVIDIA card counters with tensor cores, four display outputs, and dramatically lower power draw.

The choice between these two cards depends on workload priorities. For compute-heavy tasks that use FP32 throughput or require large memory footprints, the AMD card's specifications suggest it will deliver significantly higher performance. For compact systems, multi-display setups, or power-sensitive deployments, the NVIDIA card offers a more flexible physical profile and lower system requirements.

The data does not support a single winner across all criteria. The AMD card wins on compute, memory, and interface specifications. The NVIDIA card wins on power, size, display outputs, and has the only recorded benchmark results in the database.