AMD Instinct MI300A vs AMD Radeon Instinct MI308X Comparison

Head-to-Head Benchmarks

The database records no benchmark scores for either the AMD Instinct MI300A or the AMD Radeon Instinct MI308X. Both accelerators return an average benchmark score of 0, and the head-to-head benchmark table is empty. With zero recorded wins for either part, the comparison must rely entirely on the specified metrics present in the hardware profile.

The most decisive difference appears in memory bandwidth. The MI308X delivers 10.3 TB/s, while the MI300A provides 5.32 TB/s. That is a 93.6% advantage for the MI308X in raw memory throughput, a direct consequence of its memory clock running at 2525 MHz (10.1 Gbps effective) versus 1300 MHz (5.2 Gbps effective) on the MI300A. For workloads that scale with memory bandwidth, such as large matrix operations or data movement between compute and HBM, the MI308X holds a substantial edge.

Compute throughput also favors the MI308X. The FP32 rating stands at 81.72 TFLOPS for the MI308X against 61.29 TFLOPS for the MI300A, a difference of 33.3%. Texture rate follows the same pattern: 2,553.6 GTexel/s versus 1,915.2 GTexel/s, a 33.3% gap. These numbers align with the shading unit count, where the MI308X carries 19,456 shading units and 1,216 TMUs, compared to 14,592 shading units and 912 TMUs on the MI300A. The MI308X also lists FP16 performance at 653.7 TFLOPS (8:1), while the MI300A profile does not specify an FP16 figure.

Memory capacity is another clear differentiator. The MI308X houses 192 GB of HBM3, whereas the MI300A has 128 GB. Both use an 8192-bit bus and HBM3 memory type, so the capacity increase on the MI308X comes without a wider bus. The MI300A cannot match the larger frame buffer or the higher bandwidth.

Both accelerators share identical base and boost clocks: 1000 MHz base and 2100 MHz boost. They also share the same process node, foundry, and die characteristics. Transistor count is 153,000 million on a 1017 mm² die, built on TSMC's 5 nm process, giving a transistor density of 150.4M per mm². Both parts draw 750 W TDP and require a suggested PSU of 1150 W. Neither has display outputs, and both use PCIe 5.0 x16 interfaces.

The MI300A does have one notable specification the MI308X does not: its API support is explicitly listed as N/A for DirectX, OpenGL, and Vulkan, which is consistent with a compute-oriented accelerator. The MI308X profile leaves those API fields null rather than N/A, but both parts are clearly designed for data center compute rather than graphics output.

There are no wins recorded for either side in the database. The MI300A wins 0 categories, and the MI308X wins 0 categories. The percentile ranking for both is 50th among all GPUs, and neither has any nearest rivals listed.

The Verdict

The data shows the AMD Radeon Instinct MI308X is the stronger accelerator on every measured compute and memory metric. Its FP32 throughput of 81.72 TFLOPS exceeds the MI300A's 61.29 TFLOPS by 33.3%. Memory bandwidth more than doubles at 10.3 TB/s versus 5.32 TB/s, and the 192 GB capacity surpasses 128 GB by 50%. For any workload that is compute-bound or memory-bound, the MI308X delivers higher peak performance.

The AMD Instinct MI300A offers no advantage in clock speed, architecture, process node, or TDP. Both run at the same 1000 MHz base and 2100 MHz boost, both use CDNA 3.0 on TSMC 5 nm, and both consume 750 W. The only areas where the MI300A does not fall behind are those where the specifications are identical, such as bus width, memory type, and power draw.

Given the benchmark database contains no measured scores, the verdict relies on the recorded hardware specifications. The MI308X is the higher-performance part across the board. The MI300A is the earlier or less equipped variant within the same family, with fewer shading units, lower texture rate, less memory, and slower memory clocks.

Architecture Differences

Both accelerators share the same fundamental design. The chip is Aqua Vanjaram for both, built on the CDNA 3.0 architecture. The process node is TSMC 5 nm, and the die size is identical at 1017 mm². Transistor count matches at 153,000 million, yielding the same transistor density of 150.4M per mm². Neither part includes ROPs, with pixel rates listed at 0 MPixel/s for both.

The memory subsystem differs primarily in clock and capacity. The MI300A uses a memory clock of 1300 MHz with 5.2 Gbps effective data rate, while the MI308X runs at 2525 MHz with 10.1 Gbps effective. Both use HBM3 across an 8192-bit bus. The MI308X reaches 10.3 TB/s bandwidth with 192 GB, while the MI300A reaches 5.32 TB/s with 128 GB.

Compute resources scale with the memory improvements. The MI300A has 14,592 shading units, 912 TMUs, and 0 ROPs. The MI308X has 19,456 shading units, 1,216 TMUs, and 0 ROPs. Neither lists tensor cores or ray tracing cores. The MI308X adds an explicit FP16 throughput figure of 653.7 TFLOPS (8:1), while the MI300A profile does not record an FP16 value.

Both parts are OAM modules with no power connectors, no display outputs, and a suggested PSU of 1150 W. Both use PCIe 5.0 x16. The release date is the same for both: 2023-12-05T17:00:00.000Z. The MI300A lists its predecessor as Radeon Instinct, while the MI308X lists FirePro Data Center as its predecessor. Neither lists a successor.

The API support section shows the MI300A explicitly as N/A for DirectX, OpenGL, and Vulkan. The MI308X leaves those fields null. This distinction is minor, as neither part is intended for graphics rendering.

FAQ

Q: Which accelerator has higher FP32 performance?

A: The AMD Radeon Instinct MI308X delivers 81.72 TFLOPS FP32, while the AMD Instinct MI300A delivers 61.29 TFLOPS. The MI308X is 33.3% higher.

Q: How does memory bandwidth compare between the two?

A: The MI308X reaches 10.3 TB/s, while the MI300A reaches 5.32 TB/s. Both use HBM3 on an 8192-bit bus, but the MI308X runs its memory at 2525 MHz (10.1 Gbps effective) versus 1300 MHz (5.2 Gbps effective) on the MI300A.

Q: Do both cards have the same power draw?

A: Yes. Both the MI300A and the MI308X have a TDP of 750 W and a suggested PSU of 1150 W. Neither has power connectors, and both are OAM modules.

Q: What is the memory capacity difference?

A: The MI308X has 192 GB of HBM3, while the MI300A has 128 GB of HBM3. The MI308X offers 50% more memory capacity.

Q: Are the clock speeds the same?

A: Yes. Both accelerators have a base clock of 1000 MHz and a boost clock of 2100 MHz. The memory clocks differ, with the MI308X running faster at 2525 MHz versus 1300 MHz.

Q: Do these cards support graphics APIs like DirectX or Vulkan?

A: The MI300A lists DirectX, OpenGL, and Vulkan as N/A. The MI308X leaves those fields null. Neither card has display outputs, and both are compute-focused accelerators.

Where Each One Wins

The AMD Radeon Instinct MI308X wins in every category where the two differ. FP32 compute is 33.3% higher at 81.72 TFLOPS. Texture rate is 33.3% higher at 2,553.6 GTexel/s. Memory bandwidth is 93.6% higher at 10.3 TB/s. Memory capacity is 50% higher at 192 GB. Shading units and TMUs scale accordingly, with 19,456 versus 14,592 and 1,216 versus 912, respectively. The MI308X also records an FP16 throughput of 653.7 TFLOPS (8:1), a metric the MI300A profile does not include.

The AMD Instinct MI300A does not hold a single advantage in the recorded specifications. Its only equalities are shared traits: the same 1000 MHz base clock, the same 2100 MHz boost clock, the same 750 W TDP, the same 153,000 million transistors, the same 1017 mm² die, the same TSMC 5 nm process, and the same 8192-bit memory bus. The MI300A also matches the MI308X on release date, both launching on 2023-12-05T17:00:00.000Z.

For workloads that prioritize memory capacity, the MI308X provides 192 GB versus 128 GB. For workloads that prioritize memory bandwidth, the MI308X provides 10.3 TB/s versus 5.32 TB/s. For workloads that prioritize raw FP32 throughput, the MI308X provides 81.72 TFLOPS versus 61.29 TFLOPS. The MI300A offers no distinct use case based on the data, as every differentiator favors the MI308X.

The database records no benchmark wins for either part, so the use-case split must follow the specification deltas. The MI308X is the appropriate choice for compute-heavy tasks such as large-scale matrix multiplication, dense linear algebra, or any workload that can exploit higher memory bandwidth and larger capacity. The MI300A, with identical power draw and lower performance, would only be selected if the full MI308X specifications are unnecessary for a given workload, but the data itself provides no scenario where the MI300A outperforms the MI308X. Both sit at the 50th percentile among all GPUs, with no measured scores and no nearest rivals listed, leaving the hardware profile as the sole basis for comparison.