AMD Instinct MI350P vs AMD Radeon AI PRO 9600D Comparison

# AMD Instinct MI350P vs AMD Radeon AI PRO 9600D

FAQ

Q: What are the two cards' process nodes?

A: The AMD Instinct MI350P uses TSMC's 3 nm process, while the AMD Radeon AI PRO 9600D uses TSMC's 4 nm process. The MI350P packs 73,000 million transistors on a 1190 mm² die, whereas the Radeon AI PRO 9600D has 53,900 million transistors on a 357 mm² die.

Q: How do the memory configurations differ?

A: The Instinct MI350P has 144 GB of HBM3e with a 8192-bit bus and 8.19 TB/s bandwidth. The Radeon AI PRO 9600D has 32 GB of GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth. The MI350P's memory bandwidth is over 14 times higher.

Q: Which card supports display output?

A: Only the Radeon AI PRO 9600D has display outputs, featuring 1x DisplayPort 2.1a. The Instinct MI350P has no display outputs, indicating it is designed for compute-only workloads.

Q: What are the thermal and power specifications?

A: The Instinct MI350P has a TDP of 600 W and requires a 1000 W suggested PSU, while the Radeon AI PRO 9600D has a TDP of 150 W and a 450 W suggested PSU. The MI350P is dual-slot with 40 mm width; the Radeon is single-slot at 19 mm width.

Q: What are the clock speeds of each card?

A: The Instinct MI350P runs at a base clock of 1000 MHz and boost of 2200 MHz. The Radeon AI PRO 9600D has a base clock of 1080 MHz, a game clock of 1080 MHz, and a boost of 2020 MHz.

Q: Which card has greater raw compute throughput?

A: The Instinct MI350P delivers 36.04 TFLOPS FP32 and 36.04 TFLOPS FP16 (1:1). The Radeon AI PRO 9600D provides 24.82 TFLOPS FP32 and 24.82 TFLOPS FP16 (1:1), making the MI350P about 45% higher in both.

Architecture Differences

The two accelerators stem from different architectural lineages. The Instinct MI350P is built on CDNA 4.0, AMD's compute-optimized architecture for data centers, while the Radeon AI PRO 9600D uses RDNA 4.0, the graphics-oriented architecture from the Radeon Pro Navi family.

The MI350P's chip is the MI350 128CU, a massive die at 1190 mm² fabricated on a 3 nm TSMC process. It integrates 73,000 million transistors, yielding a transistor density of 61.3 million per mm². The Radeon AI PRO 9600D uses the Navi 48 chip, a 357 mm² die on a 4 nm process with 53,900 million transistors, achieving a density of 151.0 million per mm². The Radeon's higher density reflects its more compact design.

Memory architecture is a fundamental split. The MI350P uses HBM3e with a staggering 8192-bit bus width and 144 GB capacity, delivering 8.19 TB/s bandwidth. The Radeon AI PRO 9600D employs GDDR6 with a 256-bit bus, 32 GB capacity, and 576.0 GB/s bandwidth. This difference dictates workload suitability: the MI350P targets memory-bound training and inference, while the Radeon suits graphics and moderate AI tasks.

Compute resources diverge sharply. The MI350P has 8192 shading units, 512 texture mapping units, and no ROPs (0 MPixel/s pixel rate). Its texture rate reaches 1,126.4 GTexel/s. The Radeon AI PRO 9600D has 3072 shading units, 192 TMUs, 96 ROPs, and 48 ray tracing cores. Its pixel rate is 193.9 GPixel/s and texture rate is 387.8 GTexel/s. The MI350P lacks ray tracing cores entirely, and its API support is marked as N/A for DirectX, OpenGL, and Vulkan, confirming no graphics pipeline. The Radeon supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Power and physical design reflect their roles. The MI350P consumes 600 W TDP with a dual-slot cooler, one 16-pin connector, and a 1000 W suggested PSU. Its dimensions are 267 mm length, 111 mm height, and 40 mm width. The Radeon AI PRO 9600D sips 150 W TDP in a single-slot form factor, also with one 16-pin connector, a 450 W suggested PSU, and dimensions of 241 mm length, 111 mm height, and 19 mm width.

Head-to-Head Benchmarks

Although the database currently shows no recorded benchmark scores for either card, the architectural specifications provide clear comparative data. The Instinct MI350P leads in raw compute: its 36.04 TFLOPS FP32 output exceeds the Radeon AI PRO 9600D's 24.82 TFLOPS by approximately 45%. The same margin holds for FP16, where both cards operate at a 1:1 ratio.

Memory bandwidth is where the MI350P dominates decisively. Its 8.19 TB/s is more than 14 times the Radeon's 576.0 GB/s. This translates to proportional advantages in memory-bound workloads such as large batch training or high-throughput inference.

Texture throughput also favors the MI350P. Its 1,126.4 GTexel/s is roughly 2.9 times the Radeon's 387.8 GTexel/s, reflecting the MI350P's larger TMU count (512 versus 192). However, the Radeon delivers 193.9 GPixel/s pixel throughput, a capability the MI350P lacks entirely due to its zero ROPs.

Clock speeds show a nuanced picture. The Radeon AI PRO 9600D has a higher base clock (1080 MHz versus 1000 MHz) but the MI350P has a higher boost clock (2200 MHz versus 2020 MHz). The Radeon also has a game clock of 1080 MHz, which is unspecified for the MI350P. The MI350P's memory clock is 2000 MHz (8 Gbps effective), while the Radeon's memory runs at 2250 MHz (18 Gbps effective), though the MI350P's wider bus compensates massively.

In practical terms, the MI350P is designed for peak throughput on large data sets, whereas the Radeon AI PRO 9600D offers balanced performance with graphics capabilities. The MI350P's 36.04 TFLOPS versus the Radeon's 24.82 TFLOPS indicates a 45% advantage in pure compute, but the Radeon's feature set includes ray tracing and display output, which the MI350P cannot provide.

Specification Differences

The two cards differ in nearly every measurable specification. Process node: 3 nm for the MI350P versus 4 nm for the Radeon. Die size: 1190 mm² versus 357 mm². Transistor count: 73,000 million versus 53,900 million. Transistor density: 61.3M per mm² versus 151.0M per mm².

Clock speeds: the MI350P has a 1000 MHz base and 2200 MHz boost; the Radeon has 1080 MHz base, 1080 MHz game, and 2020 MHz boost. Memory clock: 2000 MHz (8 Gbps effective) versus 2250 MHz (18 Gbps effective).

Memory capacity: 144 GB HBM3e versus 32 GB GDDR6. Bus width: 8192 bit versus 256 bit. Bandwidth: 8.19 TB/s versus 576.0 GB/s.

Shading units: 8192 versus 3072. TMUs: 512 versus 192. ROPs: 0 versus 96. Ray tracing cores: none versus 48. Pixel rate: 0 MPixel/s versus 193.9 GPixel/s. Texture rate: 1,126.4 GTexel/s versus 387.8 GTexel/s. FP32 and FP16: 36.04 TFLOPS versus 24.82 TFLOPS, both at 1:1.

TDP: 600 W versus 150 W. Suggested PSU: 1000 W versus 450 W. Slot width: dual-slot versus single-slot. Dimensions: 267 mm x 111 mm x 40 mm versus 241 mm x 111 mm x 19 mm.

Display outputs: none versus 1x DisplayPort 2.1a. API support: DirectX N/A, OpenGL N/A, Vulkan N/A versus DirectX 12 Ultimate (12_2), OpenGL 4.6, Vulkan 1.4. Release dates: 2026-05-06 for the MI350P versus 2025-12-10 for the Radeon. Production status: unspecified for the MI350P, Active for the Radeon.

Both use PCIe 5.0 x16 and a single 16-pin power connector. Neither has a launch MSRP in the database.

Where Each One Wins

The Instinct MI350P wins in every compute-heavy scenario. Its 36.04 TFLOPS FP32 and FP16 throughput, combined with 8.19 TB/s memory bandwidth and 144 GB HBM3e capacity, positions it for large-scale AI training, inference on massive models, and scientific computing that requires enormous memory pools. The 8192-bit bus allows data movement that the Radeon cannot approach. For workloads that fit entirely in GPU memory and demand sustained compute, the MI350P is the clear choice.

The Radeon AI PRO 9600D wins in graphics-adjacent tasks. Its 96 ROPs enable 193.9 GPixel/s pixel throughput, which the MI350P cannot deliver at all. The 48 ray tracing cores add hardware acceleration for ray-traced workloads, a feature absent from the MI350P. DisplayPort 2.1a output means this card can drive monitors, while the MI350P has no display capability. The Radeon's API support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 makes it usable in standard graphics environments.

Power efficiency favors the Radeon. At 150 W TDP versus 600 W, the Radeon delivers 24.82 TFLOPS per watt at a fraction of the power draw. Its 450 W suggested PSU is far more accessible than the MI350P's 1000 W requirement. The single-slot, 19 mm width also enables denser server configurations and easier installation in constrained chassis.

The Radeon also wins on transistor density. Its 151.0M per mm² versus the MI350P's 61.3M per mm² indicates a more efficient use of silicon area, though the MI350P compensates with a much larger die.

The Verdict

The database shows two accelerators with zero overlap in intended use. The Instinct MI350P is a compute monster: 36.04 TFLOPS FP32, 36.04 TFLOPS FP16, 144 GB HBM3e at 8.19 TB/s, and 8192 shading units. It has no ROPs, no ray tracing cores, no display outputs, and no graphics API support. Its 600 W TDP and 1000 W suggested PSU demand a serious server platform. This card exists for one purpose: maximal throughput on memory-intensive compute workloads.

The AMD Radeon AI PRO 9600D is a different animal. At 150 W TDP with a single-slot design, it delivers 24.82 TFLOPS FP32 and FP16, 32 GB GDDR6 at 576.0 GB/s, 96 ROPs, 48 ray tracing cores, and DisplayPort 2.1a output. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. This card fits workstations that need both compute acceleration and display functionality, such as content creation or edge inference with visualization.

For users building a dedicated AI training node with no need for graphics output, the Instinct MI350P's 45% higher compute and 14 times the memory bandwidth make it the only rational pick. For users who need a single card that can handle moderate AI workloads while also driving displays and supporting ray tracing, the Radeon AI PRO 9600D is the practical choice.

The MI350P's 73,000 million transistors and 1190 mm² die show a brute-force approach. The Radeon's 53,900 million transistors on 357 mm² demonstrate efficiency. Both are TSMC products, but the 3 nm versus 4 nm process difference gives the MI350P a manufacturing edge that its larger die exploits.

Neither card has recorded benchmark scores yet, so percentile ratings sit at 50 for both, indicating no relative performance data. The architectural evidence, however, is unequivocal: choose the MI350P for raw compute and massive memory, choose the Radeon AI PRO 9600D for balanced graphics and compute in a power-efficient, display-capable package.