AMD Instinct MI350X vs NVIDIA GeForce RTX 4080 Max-Q Comparison

Head-to-Head Benchmarks

The recorded database contains no head-to-head benchmark results for this pairing, and neither part has any individual benchmark scores listed. The AMD Instinct MI350X and NVIDIA GeForce RTX 4080 Max-Q occupy entirely different segments, so no direct performance comparison can be drawn from measurements. The MI350X shows an average benchmark score of 0, as does the RTX 4080 Max-Q, and both hold a 50th percentile position among all GPUs in the database. Without benchmark data, the wins column reads 0 for both sides.

The absence of scores does not indicate parity. It reflects that these products are not measured in the same test suites. The MI350X is an accelerator with no display outputs, while the RTX 4080 Max-Q is a mobile graphics processor for laptops. The database does not provide any cross-testing between them.

Architecture Differences

The architectural gap between these two parts is substantial. The MI350X uses AMD's CDNA 4.0 architecture on a 3 nm TSMC process, while the RTX 4080 Max-Q uses Ada Lovelace on a 5 nm TSMC node. The MI350X die measures 2380 mm² and contains 185,000 million transistors, yielding a transistor density of 77.7M per mm². The RTX 4080 Max-Q die is 294 mm² with 35,800 million transistors, giving a density of 121.8M per mm². The smaller node and much larger die give the MI350X a transistor count over five times higher, but the RTX 4080 Max-Q packs them more tightly.

Compute resources differ sharply. The MI350X has 16,384 shading units, 1,024 texture mapping units, and zero ROPs. The RTX 4080 Max-Q has 7,424 shading units, 232 TMUs, and 80 ROPs. The MI350X also doubles FP16 throughput at a 1:1 ratio with FP32, meaning its 72.09 TFLOPS FP32 equals 72.09 TFLOPS FP16. The RTX 4080 Max-Q delivers 20.04 TFLOPS in both FP32 and FP16, also at 1:1. That puts the MI350X at roughly 3.6 times the FP32 throughput, though the RTX 4080 Max-Q adds dedicated ray tracing cores (58) and tensor cores (232), which the MI350X does not list.

Memory configurations are even further apart. The MI350X uses 288 GB of HBM3e across an 8192-bit bus, achieving 8.19 TB/s of bandwidth. The RTX 4080 Max-Q uses 12 GB of GDDR6 on a 192-bit bus, delivering 432.0 GB/s. The MI350X has 24 times the memory capacity and roughly 19 times the bandwidth. Clock behavior also differs: the MI350X runs at 1000 MHz base and 2200 MHz boost, while the RTX 4080 Max-Q runs at 795 MHz base and 1350 MHz boost. Memory clocks show 2000 MHz (8 Gbps effective) for the MI350X versus 2250 MHz (18 Gbps effective) for the RTX 4080 Max-Q.

Power and physical design reinforce the divide. The MI350X has a 1000 W TDP, fits an OAM module form factor, measures 102 mm by 165 mm, and requires a 1400 W suggested PSU. It has no power connectors listed and no display outputs. The RTX 4080 Max-Q has a 60 W TDP, uses an IGP form factor, and is marked as portable device dependent for displays. It has no power connectors either, but it supports PCIe 4.0 x16, while the MI350X uses PCIe 5.0 x16.

API support also diverges completely. The MI350X lists no DirectX, OpenGL, or Vulkan support. The RTX 4080 Max-Q supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This confirms the MI350X is not designed for graphics rendering, while the RTX 4080 Max-Q is a full-featured graphics solution.

Production status differs as well. The RTX 4080 Max-Q is marked active, released on 2023-01-02, with a predecessor in GeForce 30 Mobile and a successor in GeForce 50 Mobile. The MI350X has no production status listed, released on 2025-06-11, and its predecessor is Radeon Instinct.

Where Each One Wins

The MI350X wins decisively in raw compute throughput. Its 72.09 TFLOPS FP32 and FP16 figures dwarf the RTX 4080 Max-Q's 20.04 TFLOPS in both formats. For workloads that stress massive parallel floating-point math, such as dense matrix operations or scientific simulation, the MI350X data shows a clear advantage. Its 8.19 TB/s memory bandwidth and 288 GB capacity also make it suited for very large datasets that would never fit in the RTX 4080 Max-Q's 12 GB allocation.

The RTX 4080 Max-Q wins in graphics-specific features. It has 80 ROPs, 58 ray tracing cores, and 232 tensor cores, plus full API support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. The MI350X has zero ROPs and no API support, so any workload requiring rasterization, ray tracing, or standard graphics APIs falls exclusively to the RTX 4080 Max-Q. The 80 ROPs also give it a pixel rate of 108.0 GPixel/s, while the MI350X is listed at 0 MPixel/s.

Texture throughput is another split. The MI350X reaches 2,252.8 GTexel/s with 1,024 TMUs, far ahead of the RTX 4080 Max-Q's 313.2 GTexel/s with 232 TMUs. This favors the MI350X for texture-heavy compute tasks, though the RTX 4080 Max-Q's higher clock efficiency and smaller die may matter for latency-sensitive or power-constrained scenarios.

Power efficiency is a clear win for the RTX 4080 Max-Q. At 60 W TDP versus 1000 W, the mobile part uses a tiny fraction of the power budget. The MI350X requires a 1400 W suggested PSU, meaning it demands a fundamentally different host system. The RTX 4080 Max-Q fits into a laptop-style IGP slot, while the MI350X uses an OAM module with physical dimensions of 102 mm by 165 mm.

The Verdict

The data points to two products with no overlap in purpose. The AMD Instinct MI350X is a compute accelerator built for maximum FP32 and FP16 throughput, with 72.09 TFLOPS in both formats, 288 GB of HBM3e memory, and 8.19 TB/s bandwidth. It has no display outputs, no graphics APIs, and zero ROPs. This is a server or data-center part aimed at high-throughput parallel computing on very large data sets.

The NVIDIA GeForce RTX 4080 Max-Q is a mobile graphics processor with 20.04 TFLOPS FP32 and FP16, 12 GB of GDDR6, 432.0 GB/s bandwidth, and full graphics API support. Its 58 ray tracing cores, 232 tensor cores, and 80 ROPs make it suitable for rendering, ray tracing, and AI-accelerated graphics workloads on a laptop. Its 60 W TDP makes it deployable in thin-and-light portable systems.

For a buyer choosing between these based on database records, there is no tie-breaker. The MI350X is the only option for anyone needing 288 GB of on-chip memory or 8.19 TB/s of bandwidth. The RTX 4080 Max-Q is the only option for anyone needing DirectX 12 Ultimate, OpenGL 4.6, or Vulkan 1.4 support. The MI350X wins on compute density, the RTX 4080 Max-Q wins on feature breadth and power envelope.

FAQ

Q: Which GPU has higher FP32 performance?

A: The AMD Instinct MI350X delivers 72.09 TFLOPS FP32, compared to 20.04 TFLOPS for the NVIDIA GeForce RTX 4080 Max-Q. The MI350X is roughly 3.6 times faster in this metric.

Q: How much memory does each GPU have?

A: The MI350X has 288 GB of HBM3e, while the RTX 4080 Max-Q has 12 GB of GDDR6. Memory bandwidth is 8.19 TB/s for the MI350X and 432.0 GB/s for the RTX 4080 Max-Q.

Q: Does the MI350X support graphics APIs?

A: No. The MI350X lists no DirectX, OpenGL, or Vulkan support. The RTX 4080 Max-Q supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the power consumption difference?

A: The MI350X has a 1000 W TDP and requires a 1400 W suggested PSU. The RTX 4080 Max-Q has a 60 W TDP and no suggested PSU listed.

Q: Which GPU has ray tracing and tensor cores?

A: The RTX 4080 Max-Q has 58 ray tracing cores and 232 tensor cores. The MI350X lists no ray tracing cores or tensor cores.

Q: What are the release dates?

A: The RTX 4080 Max-Q released on 2023-01-02. The MI350X released on 2025-06-11.