AMD Instinct MI350X vs NVIDIA GeForce RTX 4090 Max-Q Comparison

Head-to-Head Benchmarks

The recorded data contains no direct benchmark scores for either the AMD Instinct MI350X or the NVIDIA GeForce RTX 4090 Max-Q. Both entries show an average benchmark score of zero and no head-to-head benchmark results. The percentile versus all GPUs is identical at 50 for both parts, placing them at the midpoint of the database distribution despite their radically different designs and target workloads.

The AMD Instinct MI350X delivers 72.09 TFLOPS of FP32 compute and the same 72.09 TFLOPS of FP16 compute at a 1:1 ratio. The NVIDIA GeForce RTX 4090 Max-Q provides 28.31 TFLOPS of FP32 and 28.31 TFLOPS of FP16 at a 1:1 ratio. The AMD part leads compute throughput by a factor of roughly 2.5 in both precision formats. The texture rate also favors AMD at 2,252.8 GTexel/s versus 442.3 GTexel/s for NVIDIA, a lead of about five times.

Memory bandwidth is another decisive margin. The MI350X accesses 8.19 TB/s of bandwidth across an 8192-bit bus, while the RTX 4090 Max-Q reaches 576.0 GB/s over a 256-bit bus. That is a 14.2 times difference in raw bandwidth, reflecting the HBM3e implementation on the AMD side versus GDDR6 on the NVIDIA side. The pixel rate tells the opposite story: the MI350X is recorded at 0 MPixel/s with no ROPs, while the RTX 4090 Max-Q outputs 163.0 GPixel/s through 112 ROPs. The AMD accelerator has no display or raster output path in its specification, which is consistent with its compute-oriented role.

In terms of shading resources, the MI350X carries 16,384 shading units and 1,024 TMUs. The RTX 4090 Max-Q has 9,728 shading units and 304 TMUs. The NVIDIA part adds 76 ray tracing cores and 304 tensor cores, features that are absent from the AMD specification entirely.

Where Each One Wins

The AMD Instinct MI350X wins decisively on raw compute density and memory throughput. Its 72.09 TFLOPS FP32 and FP16 figures position it for large-scale matrix operations, data center inference, and scientific workloads where floating point volume is the limiting factor. The 288 GB of HBM3e memory with 8.19 TB/s bandwidth allows massive datasets to reside on-chip, reducing the need for frequent host transfers. The 8192-bit memory bus is the widest recorded in this comparison and directly supports high-bandwidth access patterns.

The NVIDIA GeForce RTX 4090 Max-Q wins on rasterization, ray tracing, and power efficiency per watt. Its 163.0 GPixel/s pixel rate and 112 ROPs enable conventional graphics output, while 76 ray tracing cores and 304 tensor cores provide dedicated hardware for accelerated ray traversal and AI inference tasks. The Ada Lovelace architecture supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it a general-purpose graphics processor. The AMD part lists no graphics API support, with DirectX, OpenGL, and Vulkan all marked as N/A.

The RTX 4090 Max-Q also wins on physical integration. It is an IGP (integrated graphics processor) with a 80 W TDP, designed for portable devices. The MI350X is an OAM module with a 1000 W TDP and a suggested PSU of 1400 W. The NVIDIA part has no dimensions recorded, while the AMD module measures 102 mm in length and 165 mm in width. The power envelope difference is the clearest use-case separator: the MI350X requires a datacenter-class power delivery system, while the RTX 4090 Max-Q targets laptop-class power budgets.

Architecture Differences

The MI350X uses the MI350 256CU chip built on CDNA 4.0 architecture, manufactured on a 3 nm process at TSMC. It contains 185,000 million transistors on a 2380 mm² die, yielding a transistor density of 77.7 million per mm². The chip is a compute accelerator with no display outputs, no pixel pipeline, and no graphics API support. Its memory subsystem uses HBM3e with 288 GB capacity and an 8192-bit bus.

The RTX 4090 Max-Q uses the AD103 chip built on Ada Lovelace architecture, manufactured on a 5 nm process at TSMC. It contains 45,900 million transistors on a 379 mm² die, yielding a transistor density of 121.1 million per mm². The chip is a mobile graphics processor with 76 ray tracing cores, 304 tensor cores, and 112 ROPs. Its memory subsystem uses GDDR6 with 16 GB capacity and a 256-bit bus.

The process node differs: 3 nm for AMD versus 5 nm for NVIDIA, though both are TSMC-produced. The transistor density is higher on the NVIDIA chip at 121.1M per mm² versus 77.7M per mm², indicating a denser layout per area despite the older process node. The AMD chip is substantially larger in die area and total transistor count, which accounts for its higher compute throughput.

Clock behavior also differs. The MI350X has a 1000 MHz base clock and 2200 MHz boost clock. The RTX 4090 Max-Q has a 930 MHz base clock and 1455 MHz boost clock. The memory clocks are 2000 MHz with 8 Gbps effective for AMD and 2250 MHz with 18 Gbps effective for NVIDIA. The NVIDIA part compensates for its narrower bus with faster per-pin memory transfer rates, though the aggregate bandwidth remains far lower.

The bus interface differs as well: PCIe 5.0 x16 on the AMD part versus PCIe 4.0 x16 on the NVIDIA part. The AMD module uses no power connectors directly, instead drawing power through the OAM module interface, while the NVIDIA IGP also lists no power connectors. The NVIDIA part is marked as Active in production status, while the AMD part has no production status recorded.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The AMD Instinct MI350X delivers 72.09 TFLOPS FP32, which is about 2.5 times the 28.31 TFLOPS of the NVIDIA GeForce RTX 4090 Max-Q.

Q: Can the AMD Instinct MI350X be used for gaming?

A: The recorded data lists no display outputs, no pixel rate, no ROPs, and no DirectX, OpenGL, or Vulkan support for the MI350X. The RTX 4090 Max-Q supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and has a 163.0 GPixel/s pixel rate.

Q: How do the memory capacities compare?

A: The MI350X has 288 GB of HBM3e memory, while the RTX 4090 Max-Q has 16 GB of GDDR6 memory. The AMD part also leads bandwidth at 8.19 TB/s versus 576.0 GB/s.

Q: What is the power draw difference?

A: The MI350X is rated at 1000 W TDP with a suggested PSU of 1400 W, while the RTX 4090 Max-Q is rated at 80 W TDP with no suggested PSU recorded.

Q: Which part has ray tracing cores?

A: Only the NVIDIA GeForce RTX 4090 Max-Q lists ray tracing hardware, with 76 ray tracing cores and 304 tensor cores. The AMD specification does not include ray tracing or tensor cores.

Q: What are the process nodes for each chip?

A: The AMD MI350X uses a 3 nm process at TSMC, while the NVIDIA RTX 4090 Max-Q uses a 5 nm process at TSMC. The AMD die is 2380 mm² with 185,000 million transistors; the NVIDIA die is 379 mm² with 45,900 million transistors.

Specification Differences

| Field | AMD Instinct MI350X | NVIDIA GeForce RTX 4090 Max-Q |

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

| Architecture | CDNA 4.0 | Ada Lovelace |

| Process node | 3 nm | 5 nm |

| Transistors | 185,000 million | 45,900 million |

| Die size | 2380 mm² | 379 mm² |

| Transistor density | 77.7M / mm² | 121.1M / mm² |

| Base clock | 1000 MHz | 930 MHz |

| Boost clock | 2200 MHz | 1455 MHz |

| Memory clock | 2000 MHz, 8 Gbps effective | 2250 MHz, 18 Gbps effective |

| Memory size | 288 GB | 16 GB |

| Memory type | HBM3e | GDDR6 |

| Memory bus width | 8192 bit | 256 bit |

| Memory bandwidth | 8.19 TB/s | 576.0 GB/s |

| Shading units | 16384 | 9728 |

| TMUs | 1024 | 304 |

| ROPs | 0 | 112 |

| Ray tracing cores | None recorded | 76 |

| Tensor cores | None recorded | 304 |

| Pixel rate | 0 MPixel/s | 163.0 GPixel/s |

| Texture rate | 2,252.8 GTexel/s | 442.3 GTexel/s |

| FP32 | 72.09 TFLOPS | 28.31 TFLOPS |

| FP16 | 72.09 TFLOPS (1:1) | 28.31 TFLOPS (1:1) |

| TDP | 1000 W | 80 W |

| Slot width | OAM Module | IGP |

| Suggested PSU | 1400 W | None recorded |

| Bus interface | PCIe 5.0 x16 | PCIe 4.0 x16 |

| Display outputs | No outputs | Portable Device Dependent |

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

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Dimensions | 102 mm length, 165 mm width | None recorded |

| Release date | 2025-06-11 | 2023-01-02 |

| Predecessor | Radeon Instinct | GeForce 30 Mobile |

| Successor | None recorded | GeForce 50 Mobile |

| Production status | None recorded | Active |

The Verdict

The data separates these two parts by intent, not by quality. The AMD Instinct MI350X is a datacenter compute accelerator with 72.09 TFLOPS FP32, 288 GB of HBM3e, and 8.19 TB/s of bandwidth. It has no graphics outputs, no raster hardware, and no consumer API support. Its 1000 W TDP and OAM module form factor require rack-scale power and cooling infrastructure.

The NVIDIA GeForce RTX 4090 Max-Q is a mobile graphics processor with 28.31 TFLOPS FP32, 16 GB of GDDR6, 76 ray tracing cores, and 304 tensor cores. It supports the full modern graphics API stack and runs at 80 W TDP in an IGP form factor. Its 163.0 GPixel/s pixel rate and DirectX 12 Ultimate support confirm a rendering pipeline that the AMD part simply does not have.

A user with compute-heavy workloads, massive memory footprints, or high-bandwidth data processing should select the MI350X based on its 2.5 times FP32 lead and 14.2 times memory bandwidth lead. A user needing graphics output, ray tracing, tensor acceleration, or portable deployment should select the RTX 4090 Max-Q based on its 76 ray tracing cores, 304 tensor cores, and 112 ROPs. The two parts do not compete for the same socket, power budget, or software stack; the benchmark database records them at the same overall percentile, but that percentile reflects two entirely separate performance domains.