AMD Radeon Instinct MI300A vs NVIDIA H20 Comparison

Head-to-Head Benchmarks

The database contains no recorded benchmark scores for either the AMD Radeon Instinct MI300A or the NVIDIA H20. Both entries show an average benchmark score of zero, and the head-to-head benchmark array is empty. Consequently, there are no win counts to report for either accelerator: the winsA and winsB fields both record zero. This absence of measurement data means that direct performance comparisons must be derived entirely from the architectural specifications and theoretical compute figures recorded in the database.

What the recorded data does show is a substantial gap in raw compute capacity. The MI300A delivers 81.72 TFLOPS of FP32 throughput, more than double the H20's 39.54 TFLOPS. In FP16 operations, the divergence widens further: the MI300A reaches 653.7 TFLOPS under an 8:1 ratio, while the H20 achieves 79.07 TFLOPS at a 2:1 ratio. That represents an 8.27x advantage for the AMD part in half-precision throughput, a metric that directly impacts AI inference and training workloads. The texture rate tells a similar story: 2,553.6 GTexel/s for the MI300A versus 617.8 GTexel/s for the H20, a 4.13x difference. The pixel rate comparison is less straightforward because the MI300A records zero pixel output, while the H20 manages 47.52 GPixel/s. This asymmetry reflects the different design philosophies: the MI300A has no ROP units (0), whereas the H20 includes 24 ROPs.

Memory bandwidth heavily favors the AMD accelerator. The MI300A moves data at 10.3 TB/s across an 8192-bit HBM3 interface, while the H20 operates at 4.03 TB/s over a 6144-bit HBM3 bus. That is a 2.56x bandwidth advantage. Capacity also differs: 192 GB on the MI300A versus 96 GB on the H20, exactly double. The clock speeds contrast sharply as well. The H20 runs at a base clock of 1830 MHz and boosts to 1980 MHz. The MI300A sits lower at 1000 MHz base and 2100 MHz boost, meaning the AMD part has a wider boost range and a higher ceiling despite the lower idle frequency.

Architecture Differences

The two accelerators come from different architectural lineages. The MI300A uses AMD's CDNA 3.0 architecture on the Aqua Vanjaram chip, belonging to the Radeon Instinct (MIx) generation. The H20 is built on NVIDIA's Hopper architecture with the GH100 chip, classified under the Server Hopper (Hxx) generation. Both are fabricated on a 5 nm process at TSMC, but the transistor counts diverge enormously: the MI300A packs 153,000 million transistors onto a 1017 mm² die, while the H20 contains 80,000 million transistors on an 814 mm² die. The resulting transistor density measures 150.4 million per square millimeter for the AMD part versus 98.3 million for the NVIDIA part, a 53% higher density that reflects the MI300A's more complex layout.

The compute resource allocation differs fundamentally. The MI300A carries 19,456 shading units, 1,216 texture mapping units, and zero ROPs. The H20 has 9,984 shading units, 312 TMUs, and 24 ROPs. Notably, the H20 includes 312 tensor cores, a feature category that is not recorded for the MI300A (the field is null). This suggests the AMD part relies on its massive shader array and FP16 throughput for matrix operations rather than dedicated tensor hardware, though the database does not confirm this interpretation. The MI300A's FP16 figure of 653.7 TFLOPS at an 8:1 ratio indicates a deliberate design choice to maximize half-precision compute, whereas the H20's 79.07 TFLOPS at 2:1 shows a more conservative FP16 implementation.

Memory subsystems also diverge. Both use HBM3, but the MI300A deploys 192 GB across an 8192-bit bus, while the H20 uses 96 GB across a 6144-bit bus. The memory clock differs as well: the MI300A runs at 2525 MHz with an effective rate of 10.1 Gbps, while the H20 runs at 1313 MHz with an effective rate of 5.3 Gbps. The bandwidth figures follow from these parameters: 10.3 TB/s versus 4.03 TB/s. The slot formats differ, with the MI300A packaged as an OAM Module and the H20 as an SXM Module. Both use PCIe 5.0 x16 for host connectivity and have no display outputs.

Power envelopes are distinct. The MI300A has a TDP of 750 W with a suggested PSU of 1150 W and no power connectors recorded (likely relying on the OAM socket). The H20 draws 500 W with a suggested PSU of 900 W. The power connector field for the H20 is null, indicating the SXM module handles power delivery. Neither part has a launch MSRP recorded in the database.

Where Each One Wins

Without benchmark scores, the win analysis rests on specification-based strengths. The MI300A dominates in raw compute throughput. Its FP32 figure of 81.72 TFLOPS and FP16 figure of 653.7 TFLOPS position it for compute-heavy workloads such as large-scale AI training, scientific simulation, and high-performance computing tasks that can exploit massive parallelism. The 192 GB memory capacity and 10.3 TB/s bandwidth make it suitable for problems with very large working sets, such as training large language models or processing multi-modal datasets that exceed the memory of smaller accelerators. The higher texture rate of 2,553.6 GTexel/s also suggests strong performance in workloads with heavy texture sampling, though the MI300A's lack of ROPs means it is not designed for traditional rasterization output.

The H20 has a different set of advantages. Its 24 ROPs and 47.52 GPixel/s pixel rate indicate some rasterization capability, though the null DirectX, OpenGL, and Vulkan APIs suggest this is not a primary focus. The presence of 312 tensor cores points to a design optimized for matrix operations commonly used in AI inference, and the 500 W TDP means lower power consumption per module. The lower memory capacity of 96 GB is still substantial for many inference workloads, and the 4.03 TB/s bandwidth is adequate for feeding the tensor cores. The H20's higher base clock of 1830 MHz versus the MI300A's 1000 MHz suggests better performance in latency-sensitive or lightly-threaded operations, though the MI300A's boost clock of 2100 MHz exceeds the H20's 1980 MHz.

The production status differs: the H20 is marked as Active, while the MI300A has no recorded production status. The H20 also has a defined successor (Server Blackwell) and predecessor (Server Ada), whereas the MI300A lists only a predecessor (FirePro Data Center) with no successor. The release dates are close: the MI300A launched on December 5, 2023, and the H20 on January 31, 2024. Both accelerators sit at the 50th percentile against all GPUs in the database, a neutral ranking that reflects the absence of benchmark data rather than actual performance equivalence.

FAQ

Q: Which accelerator has higher FP32 compute throughput?

A: The AMD Radeon Instinct MI300A records 81.72 TFLOPS, which is 2.07x the NVIDIA H20's 39.54 TFLOPS.

Q: How do the memory capacities compare?

A: The MI300A has 192 GB of HBM3 memory, exactly double the H20's 96 GB. The bandwidth difference is also significant: 10.3 TB/s for the AMD part versus 4.03 TB/s for the NVIDIA part.

Q: What is the thermal design power difference?

A: The MI300A has a TDP of 750 W with a suggested PSU of 1150 W. The H20 has a TDP of 500 W with a suggested PSU of 900 W.

Q: Does the H20 have tensor cores?

A: Yes, the database records 312 tensor cores for the NVIDIA H20. The MI300A's tensor core count is not recorded (null), while its FP16 throughput of 653.7 TFLOPS at an 8:1 ratio indicates a different approach to half-precision compute.

Q: Which chip has more transistors and a larger die?

A: The MI300A uses the Aqua Vanjaram chip with 153,000 million transistors on a 1017 mm² die. The H20 uses the GH100 chip with 80,000 million transistors on an 814 mm² die. Both are fabricated on TSMC's 5 nm process.

Q: What are the release dates for these accelerators?

A: The MI300A was released on December 5, 2023. The H20 followed on January 31, 2024. The H20 is currently marked as Active in production, while the MI300A has no production status recorded.

Specification Differences

| Specification | AMD Radeon Instinct MI300A | NVIDIA H20 |

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

| Chip | Aqua Vanjaram | GH100 |

| Architecture | CDNA 3.0 | Hopper |

| Generation | Radeon Instinct (MIx) | Server Hopper (Hxx) |

| Transistors | 153,000 million | 80,000 million |

| Die Size | 1017 mm² | 814 mm² |

| Transistor Density | 150.4M / mm² | 98.3M / mm² |

| Base Clock | 1000 MHz | 1830 MHz |

| Boost Clock | 2100 MHz | 1980 MHz |

| Memory Clock | 2525 MHz, 10.1 Gbps effective | 1313 MHz, 5.3 Gbps effective |

| Memory Size | 192 GB | 96 GB |

| Memory Bus Width | 8192 bit | 6144 bit |

| Memory Bandwidth | 10.3 TB/s | 4.03 TB/s |

| Shading Units | 19456 | 9984 |

| TMUs | 1216 | 312 |

| ROPs | 0 | 24 |

| Tensor Cores | null | 312 |

| Pixel Rate | 0 MPixel/s | 47.52 GPixel/s |

| Texture Rate | 2,553.6 GTexel/s | 617.8 GTexel/s |

| FP32 | 81.72 TFLOPS | 39.54 TFLOPS |

| FP16 | 653.7 TFLOPS (8:1) | 79.07 TFLOPS (2:1) |

| TDP | 750 W | 500 W |

| Slot Width | OAM Module | SXM Module |

| Power Connectors | None | null |

| Suggested PSU | 1150 W | 900 W |

| Production Status | null | Active |

| Release Date | 2023-12-05 | 2024-01-31 |

| Predecessor | FirePro Data Center | Server Ada |

| Successor | null | Server Blackwell |

The API fields also differ: the H20 lists DirectX, OpenGL, and Vulkan as N/A, while the MI300A has null entries for all three. Both use PCIe 5.0 x16 and have no display outputs. Neither part has a recorded launch MSRP. The bus interface, process node (5 nm), foundry (TSMC), and memory type (HBM3) are identical across both accelerators.