AMD Instinct MI350X vs NVIDIA GeForce RTX 5080 SUPER Comparison

AMD Instinct MI350X and NVIDIA GeForce RTX 5080 SUPER represent two fundamentally different design philosophies from the same era, one aimed at massive parallel compute workloads and the other at consumer rendering. The database contains no direct head-to-head benchmark results between these two units, so the analysis below relies on their individual recorded specifications, the single benchmark entry for the NVIDIA part, and the relative performance data available for that same GPU. The AMD Instinct MI350X holds a 50th percentile ranking across all GPUs in the database, while the NVIDIA GeForce RTX 5080 SUPER sits at the 19th percentile, a gap that reflects their vastly different target markets rather than raw capability. The data shows two accelerators that share a PCIe 5.0 x16 interface and TSMC as their foundry, but diverge sharply in nearly every other measurable aspect.

Head-to-Head Benchmarks

With no shared benchmark results in the database, the primary quantitative comparison comes from the single recorded test for the NVIDIA GeForce RTX 5080 SUPER. That GPU scores 3075 points in the 3DMark Steel Nomad DX12 test, which is the only benchmark entry listed for either product. The nearest rivals for the RTX 5080 SUPER in the database provide context for this score. The Intel Arc Pro B60 leads the group with an average score of 3182, putting the RTX 5080 SUPER 3.4% behind that part. The NVIDIA Quadro P1000 averages 3163, which places the RTX 5080 SUPER 2.8% behind it. On the other side, the NVIDIA GeForce 820A scores 2983, making the RTX 5080 SUPER 3.1% faster than that GPU, and the NVIDIA GeForce GTX 860M scores 2967, with the RTX 5080 SUPER 3.6% ahead. These deltas show a narrow cluster of performance within roughly 7 percentage points, indicating that the RTX 5080 SUPER sits in a tightly contested performance band despite its modern architecture and high specifications.

The AMD Instinct MI350X has no benchmark scores recorded in the database, so its competitive position cannot be expressed through direct numerical comparison. The FP32 compute throughput offers one point of reference: the MI350X delivers 72.09 TFLOPS, which is 28.1% higher than the RTX 5080 SUPER's 56.28 TFLOPS. The texture rate follows a similar pattern, with the MI350X reaching 2,252.8 GTexel/s compared to 879.3 GTexel/s for the NVIDIA part, a 2.56x advantage. However, the pixel rate tells the opposite story, as the RTX 5080 SUPER achieves 293.1 GPixel/s while the MI350X records 0 MPixel/s, reflecting its lack of a traditional rasterization output stage. These figures illustrate that the MI350X dominates in compute-oriented throughput metrics, while the RTX 5080 SUPER holds the only available rendering-specific advantage.

Where Each One Wins

The AMD Instinct MI350X clearly wins in scenarios that demand massive memory capacity and extreme bandwidth. Its 288 GB of HBM3e memory dwarfs the 24 GB of GDDR7 on the RTX 5080 SUPER, and the 8.19 TB/s memory bandwidth is 8 times higher than the NVIDIA part's 1.02 TB/s. The 8192-bit memory bus width compared to 256 bits reinforces this divide. For workloads that keep large datasets resident on the accelerator, such as inference on large models or scientific simulation, the MI350X has a structural advantage that no amount of compute efficiency on the other side can overcome. The FP32 and FP16 throughput figures, both at 72.09 TFLOPS with a 1:1 ratio, also favor the AMD part for general compute tasks.

The NVIDIA GeForce RTX 5080 SUPER wins in rendering, graphics, and client-side workloads. It has 84 RT cores and 336 tensor cores, features that the MI350X does not list at all, and its 112 ROPs enable a 293.1 GPixel/s fill rate. The display outputs, 1x HDMI 2.1b and 3x DisplayPort 2.1b, mean it can drive monitors directly, while the MI350X has no outputs. The RTX 5080 SUPER also supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, whereas the AMD part lists N/A for all three APIs. The smaller die and lower power draw, 415 W versus 1000 W, make it feasible for a dual-slot consumer card, while the MI350X uses an OAM module form factor. The single benchmark score, even if modest relative to its own specs, confirms it operates in a measurable graphics performance space.

Architecture Differences

The two chips share TSMC as their foundry but use different process nodes. The MI350X uses a 3 nm process, while the RTX 5080 SUPER uses 5 nm. The AMD chip, designated MI350 256CU, packs 185,000 million transistors into a 2380 mm² die, yielding a transistor density of 77.7 million per square millimeter. The NVIDIA GB203 contains 45,600 million transistors on a 378 mm² die, achieving a higher density of 120.6 million per square millimeter. This means the RTX 5080 SUPER packs transistors more tightly, but the MI350X's enormous die allows for far more total hardware.

The compute configuration differs substantially. The MI350X has 16,384 shading units and 1,024 texture mapping units, but no ROPs, RT cores, or tensor cores are listed. The RTX 5080 SUPER has 10,752 shading units, 336 TMUs, 112 ROPs, 84 RT cores, and 336 tensor cores. Clock speeds also favor the NVIDIA part, with a base clock of 2295 MHz and a boost of 2617 MHz, versus 1000 MHz base and 2200 MHz boost for the AMD accelerator. The memory subsystems could not be more different: HBM3e with 288 GB capacity and 8.19 TB/s bandwidth versus GDDR7 with 24 GB and 1.02 TB/s. The MI350X belongs to the CDNA 4.0 architecture in the Instinct (MIx) generation, while the RTX 5080 SUPER uses Blackwell 2.0 in the GeForce 50 series.

Power and physical design diverge as well. The MI350X has a 1000 W TDP and a suggested PSU rating of 1400 W, with no power connectors listed because it is an OAM module. The RTX 5080 SUPER draws 415 W and uses a single 16-pin connector. The AMD module measures 102 mm in length and 165 mm in width, while the NVIDIA card is 304 mm long, 137 mm high, and 40 mm wide. The MI350X was released in June 2025, while the RTX 5080 SUPER has a release date of December 2025. The MI350X's predecessor is Radeon Instinct, and the RTX 5080 SUPER has no predecessor listed.

The Verdict

The data points to a clear split by workload type. The AMD Instinct MI350X is the choice for compute-heavy environments where memory capacity, memory bandwidth, and raw FP32 or FP16 throughput are the limiting factors. Its 288 GB memory pool and 8.19 TB/s bandwidth are unmatched in this comparison, and its 72.09 TFLOPS in both FP32 and FP16 gives it a 28.1% throughput advantage over the RTX 5080 SUPER. The absence of display outputs and graphics APIs makes it unsuitable for any client-side rendering task, but that is not its purpose.

The NVIDIA GeForce RTX 5080 SUPER is the choice for graphics and rendering. It is the only one of the two with a recorded benchmark score, 3075 in 3DMark Steel Nomad DX12, and the only one with RT cores, tensor cores, ROPs, display outputs, and full graphics API support. Its 24 GB of GDDR7 memory and 1.02 TB/s bandwidth are far smaller than the AMD part's, but sufficient for a consumer-oriented card. The launch MSRP is 999 USD, stated once here for reference. Users requiring monitor output, ray tracing, or DirectX 12 Ultimate support have only one option between these two, regardless of compute specifications. The MI350X exists to accelerate computations, the RTX 5080 SUPER exists to render frames, and the database reflects that distinction in every recorded category.

FAQ

Q: Which GPU has more memory bandwidth?

A: The AMD Instinct MI350X has 8.19 TB/s of memory bandwidth, which is 8 times higher than the NVIDIA GeForce RTX 5080 SUPER's 1.02 TB/s.

Q: What is the only benchmark score recorded for these two products?

A: The NVIDIA GeForce RTX 5080 SUPER scores 3075 points in the 3DMark Steel Nomad DX12 test. The AMD Instinct MI350X has no benchmark scores in the database.

Q: How do their FP32 compute performances compare?

A: The AMD Instinct MI350X delivers 72.09 TFLOPS FP32, which is 28.1% higher than the NVIDIA GeForce RTX 5080 SUPER's 56.28 TFLOPS.

Q: Which product supports display outputs?

A: The NVIDIA GeForce RTX 5080 SUPER has 1x HDMI 2.1b and 3x DisplayPort 2.1b outputs. The AMD Instinct MI350X lists no display outputs.

Q: What is the difference in process node and die size?

A: The AMD Instinct MI350X uses a 3 nm process on a 2380 mm² die, while the NVIDIA GeForce RTX 5080 SUPER uses a 5 nm process on a 378 mm² die.

Q: Which GPU has RT cores and tensor cores?

A: The NVIDIA GeForce RTX 5080 SUPER has 84 RT cores and 336 tensor cores. The AMD Instinct MI350X does not list any RT cores or tensor cores.

Specification Differences

| Specification | AMD Instinct MI350X | NVIDIA GeForce RTX 5080 SUPER |

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

| Chip | MI350 256CU | GB203 |

| Architecture | CDNA 4.0 | Blackwell 2.0 |

| Process Node | 3 nm | 5 nm |

| Transistors | 185,000 million | 45,600 million |

| Die Size | 2380 mm² | 378 mm² |

| Transistor Density | 77.7M / mm² | 120.6M / mm² |

| Base Clock | 1000 MHz | 2295 MHz |

| Boost Clock | 2200 MHz | 2617 MHz |

| Memory Size | 288 GB | 24 GB |

| Memory Type | HBM3e | GDDR7 |

| Memory Bus Width | 8192 bit | 256 bit |

| Memory Bandwidth | 8.19 TB/s | 1.02 TB/s |

| Shading Units | 16384 | 10752 |

| TMUs | 1024 | 336 |

| ROPs | 0 | 112 |

| RT Cores | N/A | 84 |

| Tensor Cores | N/A | 336 |

| Pixel Rate | 0 MPixel/s | 293.1 GPixel/s |

| Texture Rate | 2,252.8 GTexel/s | 879.3 GTexel/s |

| FP32 | 72.09 TFLOPS | 56.28 TFLOPS |

| FP16 | 72.09 TFLOPS (1:1) | 56.28 TFLOPS (1:1) |

| TDP | 1000 W | 415 W |

| Slot Width | OAM Module | Dual-slot |

| Power Connectors | None | 1x 16-pin |

| Suggested PSU | 1400 W | N/A |

| Display Outputs | No outputs | 1x HDMI 2.1b 3x DisplayPort 2.1b |

| DirectX | N/A | 12 Ultimate (12_2) |

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Length | 102 mm 4 inches | 304 mm 12 inches |

| Height | N/A | 137 mm 5.4 inches |

| Width | 165 mm 6.5 inches | 40 mm 1.6 inches |

| Release Date | 2025-06-11 | 2025-12-31 |

| Production Status | N/A | Active |

| Launch MSRP | N/A | 999 USD |