AMD Instinct MI350X vs NVIDIA RTX 4000 Mobile Ada Generation Comparison

Head-to-Head Benchmarks

The recorded database contains no direct head-to-head benchmark scores for the AMD Instinct MI350X and the NVIDIA RTX 4000 Mobile Ada Generation. Both products have an average benchmark score of 0 and hold the 50th percentile among all GPUs in the database. This means neither part has been subjected to the standardized test suite, so raw performance comparisons must be derived from their architectural specifications and theoretical throughput figures rather than measured results.

In raw compute throughput, the AMD part delivers 72.09 TFLOPS for both FP32 and FP16 (1:1). The NVIDIA part delivers 24.72 TFLOPS for both FP32 and FP16 (1:1). The gap is substantial: the MI350X provides approximately 2.9 times the floating-point throughput of the RTX 4000 Mobile Ada. This is a direct consequence of the massive difference in shading units, 16,384 versus 7,424, and the higher boost clock of 2200 MHz against 1665 MHz.

Texture processing follows a similar pattern. The MI350X achieves a texture fill rate of 2,252.8 GTexel/s, while the RTX 4000 Mobile Ada reaches 386.3 GTexel/s. The MI350X is roughly 5.8 times faster in this metric, driven by 1,024 texture mapping units compared to 232 on the NVIDIA part. Pixel throughput inverts this relationship. The RTX 4000 Mobile Ada has a pixel rate of 133.2 GPixel/s thanks to its 80 raster output units, while the MI350X lists 0 MPixel/s and zero ROPs, as it is not designed for rasterized graphics output.

Memory bandwidth is another area of decisive advantage for the AMD accelerator. The MI350X has 8.19 TB/s of bandwidth from its HBM3e memory, while the RTX 4000 Mobile Ada has 432.0 GB/s from GDDR6. The AMD part provides roughly 19 times the memory bandwidth. The bus width difference is stark: 8,192 bit versus 192 bit. The NVIDIA adapter compensates with a higher effective memory clock of 18 Gbps effective versus 8 Gbps effective on the MI350X, but the narrow bus cannot offset the HBM3e advantage.

The RTX 4000 Mobile Ada does hold clear wins in specific feature categories. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI350X lists N/A for all three APIs. The NVIDIA card also has dedicated ray tracing cores (58) and tensor cores (232), which are entirely absent from the AMD specification sheet. These features make the RTX 4000 Mobile Ada viable for real-time graphics workloads that the MI350X cannot address at all.

FAQ

Q: Which GPU has higher FP32 compute throughput?

A: The AMD Instinct MI350X delivers 72.09 TFLOPS in FP32, while the NVIDIA RTX 4000 Mobile Ada Generation delivers 24.72 TFLOPS. The AMD accelerator provides roughly 2.9 times the FP32 throughput.

Q: What are the memory configurations of each GPU?

A: The MI350X uses 288 GB of HBM3e memory on an 8,192-bit bus, achieving 8.19 TB/s bandwidth. The RTX 4000 Mobile Ada uses 12 GB of GDDR6 memory on a 192-bit bus, achieving 432.0 GB/s bandwidth.

Q: Does either GPU support real-time ray tracing?

A: Only the NVIDIA RTX 4000 Mobile Ada Generation includes dedicated hardware for this. It has 58 ray tracing cores. The AMD MI350X lists no ray tracing cores and has no DirectX, OpenGL, or Vulkan support in the database.

Q: Which GPU has a higher boost clock?

A: The AMD MI350X has a boost clock of 2200 MHz. The NVIDIA RTX 4000 Mobile Ada has a boost clock of 1665 MHz. The base clock also favors NVIDIA at 1290 MHz versus 1000 MHz for AMD.

Q: What is the transistor count and die size for each?

A: The MI350X has 185,000 million transistors on a 2380 mm² die using a 3 nm TSMC process. The RTX 4000 Mobile Ada has 35,800 million transistors on a 294 mm² die using a 5 nm TSMC process. The MI350X has a transistor density of 77.7M per mm², while the NVIDIA chip has 121.8M per mm².

Q: When was each product released?

A: The AMD Instinct MI350X has a release date of 2025-06-11. The NVIDIA RTX 4000 Mobile Ada Generation has a release date of 2023-03-20.

Architecture Differences

The two products belong to fundamentally different design families. The AMD Instinct MI350X uses the CDNA 4.0 architecture, purpose-built for compute acceleration in datacenter environments. It is part of the Instinct (MIx) generation and uses the MI350 256CU chip. The NVIDIA RTX 4000 Mobile Ada Generation uses the Ada Lovelace architecture, a graphics-first design that also handles compute. It belongs to the GeForce 40-series and uses the AD104 chip, part of the Ada-MW generation.

Process technology separates them. The MI350X is fabricated on a 3 nm node at TSMC, while the RTX 4000 Mobile Ada uses a 5 nm node at the same foundry. The die sizes are dramatically different: 2380 mm² for the AMD part versus 294 mm² for the NVIDIA part. This reflects the MI350X's 185,000 million transistors against 35,800 million for the RTX 4000 Mobile Ada. Interestingly, the NVIDIA chip has a higher transistor density at 121.8M per mm², versus 77.7M per mm² for AMD, indicating a tighter packing of transistors on the smaller process node.

The core configurations diverge completely. The MI350X has 16,384 shading units, 1,024 TMUs, and no ROPs, ray tracing cores, or tensor cores. The RTX 4000 Mobile Ada has 7,424 shading units, 232 TMUs, 80 ROPs, 58 ray tracing cores, and 232 tensor cores. The AMD design omits all graphics-specific hardware, which explains the zero pixel rate and the N/A API support. The NVIDIA design includes the full complement of graphics and compute accelerators, including support for DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Memory architecture also differs at a fundamental level. The MI350X uses HBM3e with a 8,192-bit bus, while the RTX 4000 Mobile Ada uses GDDR6 with a 192-bit bus. The AMD part has 288 GB of memory; the NVIDIA part has 12 GB. The effective memory clock favors NVIDIA at 18 Gbps effective versus 8 Gbps effective on the AMD side, but the bus width advantage for AMD is overwhelming. The power envelope is equally divergent: the MI350X is rated at 1000 W TDP, while the RTX 4000 Mobile Ada is rated at 110 W TDP.

Specification Differences

The two parts differ in nearly every measurable specification. The process node is 3 nm for AMD and 5 nm for NVIDIA. Transistor count is 185,000 million for the MI350X and 35,800 million for the RTX 4000 Mobile Ada. Die size is 2380 mm² versus 294 mm². Transistor density is 77.7M per mm² versus 121.8M per mm².

Clock speeds differ. The MI350X has a base clock of 1000 MHz and a boost clock of 2200 MHz. The RTX 4000 Mobile Ada has a base clock of 1290 MHz and a boost clock of 1665 MHz. Memory clocks are 2000 MHz (8 Gbps effective) for AMD and 2250 MHz (18 Gbps effective) for NVIDIA.

Memory specifications are heavily skewed toward AMD. The MI350X has 288 GB of HBM3e on an 8,192-bit bus with 8.19 TB/s bandwidth. The RTX 4000 Mobile Ada has 12 GB of GDDR6 on a 192-bit bus with 432.0 GB/s bandwidth.

Compute resources differ: 16,384 shading units, 1,024 TMUs, and 0 ROPs for AMD; 7,424 shading units, 232 TMUs, and 80 ROPs for NVIDIA. The RTX 4000 Mobile Ada has 58 ray tracing cores and 232 tensor cores; the MI350X has neither. Pixel rate is 0 MPixel/s for AMD and 133.2 GPixel/s for NVIDIA. Texture rate is 2,252.8 GTexel/s for AMD and 386.3 GTexel/s for NVIDIA. FP32 and FP16 throughput are both 72.09 TFLOPS for AMD and 24.72 TFLOPS for NVIDIA.

Power and physical differences are notable. The MI350X has a TDP of 1000 W and a suggested PSU of 1400 W. The RTX 4000 Mobile Ada has a TDP of 110 W and no suggested PSU listed. The MI350X uses an OAM Module slot width and has no display outputs. The RTX 4000 Mobile Ada uses an IGP slot width and has display outputs described as portable device dependent. The bus interface is PCIe 5.0 x16 for AMD and PCIe 4.0 x16 for NVIDIA. The MI350X dimensions are 102 mm length and 165 mm width; the NVIDIA part has no listed dimensions.

Release timing also differs. The MI350X has a release date of 2025-06-11, while the RTX 4000 Mobile Ada was released on 2023-03-20. The predecessor for AMD is listed as Radeon Instinct, while NVIDIA's predecessor is Ampere-MW. NVIDIA has a listed successor, Blackwell-MW; AMD has none listed. The production status is only listed for NVIDIA as active.

Where Each One Wins

The AMD Instinct MI350X is the clear winner in raw compute throughput and memory bandwidth. Its 72.09 TFLOPS FP32 and FP16 performance triples the NVIDIA part's 24.72 TFLOPS. The 8.19 TB/s memory bandwidth and 288 GB capacity make it suitable for workloads that require massive data movement and large model residency. The 2,252.8 GTexel/s texture rate is also far ahead, indicating strength in texture-heavy compute kernels. The 1000 W TDP and OAM Module form factor signal a datacenter accelerator designed for sustained, high-intensity computation where power draw is not a constraint.

The NVIDIA RTX 4000 Mobile Ada Generation wins in graphics-specific capabilities. Its 133.2 GPixel/s pixel rate and 80 ROPs enable rasterization, which the MI350X cannot perform at all. The 58 ray tracing cores and 232 tensor cores provide hardware acceleration for ray-traced rendering and AI inference, features absent from the AMD part. The API support for DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 makes it compatible with standard graphics software stacks, while the MI350X has no API support listed. The 110 W TDP and IGP slot width indicate a mobile part intended for portable workstations, with display outputs that are portable device dependent.

For compute-focused datacenter tasks, the MI350X is the obvious choice based on the recorded data. For graphics rendering, real-time ray tracing, and portable deployment, the RTX 4000 Mobile Ada is the only viable option. The two products are not direct competitors; they serve different segments of the market. The MI350X targets high-performance computing and AI training where raw throughput and memory capacity dominate. The RTX 4000 Mobile Ada targets professional mobile workstations where graphics fidelity and power efficiency are priorities.

The absence of direct benchmark scores means these conclusions rest on specification analysis. The database shows both parts at the same 50th percentile with zero average benchmark scores, so no measured results confirm the theoretical advantages. The architectural evidence, however, is unambiguous: the MI350X is a compute accelerator with no graphics path, while the RTX 4000 Mobile Ada is a graphics-capable mobile processor with tensor and ray tracing acceleration. Each wins in the domain it was designed to serve.