AMD Instinct MI300A vs AMD Radeon AI PRO 9600D Comparison

Where Each One Wins

The AMD Instinct MI300A and the AMD Radeon AI PRO 9600D occupy completely different corners of the AMD accelerator lineup, and the recorded data shows that their strengths do not overlap. The MI300A is an extreme compute accelerator built around the CDNA 3.0 architecture, while the 9600D is a compact, feature-rich professional GPU based on RDNA 4.0. The benchmark results in the database show zero wins for either part in the head-to-head table, which reflects the absence of overlapping workload data rather than a lack of capability. Instead, the meaningful differentiation comes from the specification sheets and the architectural choices each product makes.

The MI300A wins decisively in raw compute throughput. Its FP32 rating of 61.29 TFLOPS is more than double the 24.82 TFLOPS of the 9600D, and its memory subsystem is in a different class entirely. The MI300A carries 128 GB of HBM3 across an 8192-bit bus, delivering 5.32 TB/s of bandwidth. The 9600D has 32 GB of GDDR6 on a 256-bit bus, yielding 576.0 GB/s. For any workload that scales with memory capacity or bandwidth, such as large model inference or dense linear algebra, the MI300A is the only choice between the two.

The 9600D wins in every category related to practical deployment and graphics output. It is a single-slot card measuring 241 mm in length, 111 mm in height, and 19 mm in width, and it draws 150 W under load with a suggested 450 W power supply. The MI300A is an OAM module with a 750 W TDP and a suggested 1150 W power supply, and it has no display outputs. The 9600D has a DisplayPort 2.1a output, supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, and has a production status of Active. The MI300A has no APIs listed, no display outputs, and no production status. The 9600D also has 48 ray tracing cores, which are absent from the MI300A's specification sheet.

FAQ

Q: Which card has more FP32 compute power?

A: The MI300A delivers 61.29 TFLOPS of FP32 performance, which is 2.47 times the 24.82 TFLOPS of the Radeon AI PRO 9600D.

Q: What is the memory capacity difference between the two?

A: The MI300A has 128 GB of HBM3, while the 9600D has 32 GB of GDDR6. The MI300A also uses a 8192-bit bus compared to the 9600D's 256-bit bus.

Q: Does either card support graphics output?

A: Only the 9600D has display outputs, specifically one DisplayPort 2.1a connector. The MI300A has no outputs and is not suited for any display task.

Q: Which card is smaller and consumes less power?

A: The 9600D is a single-slot card with a 150 W TDP and a 450 W suggested power supply. The MI300A is an OAM module with a 750 W TDP and a 1150 W suggested power supply.

Q: What is the difference in ray tracing support?

A: The 9600D has 48 ray tracing cores. The MI300A has no ray tracing cores listed in the database.

Q: Which card is more recent?

A: The MI300A was released on 2023-12-05, while the 9600D was released on 2025-12-10, making the 9600D the newer product by two years.

Head-to-Head Benchmarks

The database contains no recorded head-to-head benchmark entries for these two accelerators, and the wins count for each is zero. That absence of data is itself informative. The MI300A and the 9600D are not designed to run the same workloads, and no common benchmark suite has produced a shared score. The percentile versus all GPUs is identical at 50 for both, and the average benchmark score for both is zero, which indicates that the database has not yet captured any validated performance measurements for either part.

Given the specification data, the largest performance gap appears in FP32 throughput. The MI300A's 61.29 TFLOPS is 36.47 TFLOPS higher than the 9600D's 24.82 TFLOPS, a 147% advantage. The texture rate tells a similar story: the MI300A processes 1,915.2 GTexel/s versus the 9600D's 387.8 GTexel/s, a 4.94 times difference. The memory bandwidth gap is even more extreme. The MI300A moves 5.32 TB/s, which is 4.74 TB/s more than the 9600D's 576.0 GB/s. That is a 9.23 times advantage for the MI300A in raw memory throughput.

The 9600D fights back in areas where the MI300A has no presence. The pixel rate for the MI300A is listed as 0 MPixel/s, while the 9600D delivers 193.9 GPixel/s. The 9600D also has a higher base clock at 1080 MHz versus 1000 MHz, though the MI300A has a higher boost clock at 2100 MHz versus 2020 MHz. The 9600D's memory runs at an effective 18 Gbps, far above the MI300A's 5.2 Gbps effective, but that speed comes with a much narrower 256-bit bus.

The FP16 data shows another structural difference. The 9600D has a listed FP16 throughput of 24.82 TFLOPS with a 1:1 ratio to FP32. The MI300A has no FP16 figure listed, which is common for compute accelerators that rely on dedicated matrix units rather than general-purpose shader throughput. The absence of a number does not mean the MI300A lacks FP16 capability, but the database records no measurement for it.

Specification Differences

The two cards diverge on nearly every physical and electrical specification. The MI300A uses a 5 nm process from TSMC, while the 9600D uses a 4 nm process, also from TSMC. The MI300A integrates 153,000 million transistors on a 1017 mm² die, giving a transistor density of 150.4 million per mm². The 9600D integrates 53,900 million transistors on a 357 mm² die, with a density of 151.0 million per mm². The density is nearly identical, but the MI300A's die is 2.85 times larger in area and carries 2.84 times more transistors.

The clock speeds are comparable. The MI300A runs at 1000 MHz base and 2100 MHz boost. The 9600D runs at 1080 MHz base and 2020 MHz boost, with a game clock also listed at 1080 MHz. The MI300A has no game clock. The memory clocks differ substantially: the MI300A's HBM3 runs at 1300 MHz with 5.2 Gbps effective, while the 9600D's GDDR6 runs at 2250 MHz with 18 Gbps effective.

The shader configuration is where the scale difference becomes obvious. The MI300A has 14,592 shading units and 912 texture mapping units, with 0 ROPs and no pixel rate. The 9600D has 3,072 shading units, 192 TMUs, 96 ROPs, and 48 ray tracing cores. The MI300A has no ray tracing cores listed. The MI300A's texture rate is 1,915.2 GTexel/s versus 387.8 GTexel/s for the 9600D.

The physical packaging is also completely different. The MI300A is an OAM module with no power connectors, no dimensions listed, and no display outputs. The 9600D is a single-slot card with one 16-pin power connector, dimensions of 241 mm by 111 mm by 19 mm, and one DisplayPort 2.1a output. The MI300A has a 750 W TDP and a suggested 1150 W power supply. The 9600D has a 150 W TDP and a 450 W suggested power supply.

Architecture Differences

The architectural gap between these two products is fundamental. The MI300A uses the CDNA 3.0 architecture, designed specifically for compute and data center workloads. Its chip is called Aqua Vanjaram, and it belongs to the Instinct (MIx) generation. The 9600D uses RDNA 4.0, built for graphics and professional visualization, and its chip is called Navi 48. It belongs to the Radeon Pro Navi (Navi IV Series) generation.

The MI300A has no listed API support for DirectX, OpenGL, or Vulkan. It is not a graphics card in any conventional sense. The 9600D supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it a fully featured graphics adapter with modern API coverage. The MI300A has no display outputs, while the 9600D has one DisplayPort 2.1a.

The memory architecture reflects the different design goals. The MI300A uses HBM3 with an 8192-bit bus, which is the widest memory interface in the database for these two parts. The 9600D uses GDDR6 with a 256-bit bus. HBM3 is optimized for bandwidth density, while GDDR6 is optimized for cost and ease of integration. The MI300A has no ROPs and a pixel rate of zero, which confirms it never rasterizes an image. The 9600D has 96 ROPs and a pixel rate of 193.9 GPixel/s.

The transistor counts and die sizes also point to different manufacturing strategies. The MI300A uses a 5 nm node, which was the leading edge for large compute dies at its release. The 9600D uses a 4 nm node, offering slightly higher density at 151.0 million transistors per mm² versus 150.4 million. The MI300A's die is nearly three times larger, which is typical for a compute accelerator that integrates multiple compute dies or a large monolithic design. The 9600D's 357 mm² die is a conventional GPU size for a professional graphics card.

The release dates differ by exactly two years and five days. The MI300A launched on 2023-12-05, and the 9600D launched on 2025-12-10. The 9600D is listed as Active in production status, while the MI300A has no production status listed. The predecessors also differ: the MI300A follows the Radeon Instinct line, and the 9600D follows the Radeon Pro Vega line.

The Verdict

The data points to a clear division of labor. The AMD Instinct MI300A is for users who need maximum compute throughput and memory capacity in a server or data center context. Its 61.29 TFLOPS of FP32, 128 GB of HBM3, and 5.32 TB/s of bandwidth are unmatched by the 9600D. The absence of display outputs and API support means it is not a graphics card at all. It is an accelerator for large-scale numerical work, and its 750 W TDP and OAM form factor confirm that it belongs in a rack, not a desktop.

The AMD Radeon AI PRO 9600D is for users who need a professional GPU that can handle both graphics and compute in a conventional workstation. Its 24.82 TFLOPS of FP32 and FP16, 32 GB of GDDR6, and 576.0 GB/s of bandwidth are respectable for a 150 W card. It has one DisplayPort 2.1a output, full API support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and 48 ray tracing cores. It is a single-slot card that fits in a standard chassis and requires only a 450 W power supply.

For ray tracing, the 9600D is the only option, as the MI300A has no ray tracing cores. For pixel processing, the 9600D delivers 193.9 GPixel/s while the MI300A produces zero. For texture throughput, the MI300A is 4.94 times faster. For memory bandwidth, the MI300A is 9.23 times faster. For FP32 compute, the MI300A is 2.47 times faster. The 9600D has a higher base clock and a higher memory clock, but those advantages do not compensate for the massive gap in memory bus width and shader count.

A user who needs to render images, run interactive graphics, or accelerate AI workloads on a desktop should pick the 9600D. A user who needs to train large models, process massive datasets, or run sustained compute workloads in a server should pick the MI300A. The recorded data shows no overlap in their intended use cases, and the specification sheets confirm that each part is optimized for its own domain. The MI300A is a compute monster with no graphics capability. The 9600D is a professional graphics card with solid compute. Choosing between them is a matter of workload, not preference.