AMD Instinct MI350X vs NVIDIA RTX 500 Mobile Ada Generation Comparison
AMD Instinct MI350X
RTX 500 Mobile Ada Generation
Analysis: AMD Instinct MI350X vs NVIDIA RTX 500 Mobile Ada Generation
Head-to-Head Benchmarks
The database contains no recorded benchmark scores for either the AMD Instinct MI350X or the NVIDIA RTX 500 Mobile Ada Generation. Both products have an average benchmark score of 0 and hold the 50th percentile position among all GPUs in the database. This means there are zero head-to-head wins for either part, and the two cannot be directly compared using measured performance data.
The absence of benchmark results is notable given the extreme differences in their specifications. The AMD Instinct MI350X delivers an FP32 compute throughput of 72.09 TFLOPS, while the NVIDIA RTX 500 Mobile Ada Generation offers 8.294 TFLOPS. That is roughly an 8.7x difference in raw floating-point performance, derived directly from the recorded numbers. The texture rate shows a similar gap: the MI350X reaches 2,252.8 GTexel/s, compared to 129.6 GTexel/s for the RTX 500, an approximate 17.4x difference.
Memory bandwidth is where the separation becomes even more pronounced. The MI350X has 8.19 TB/s of bandwidth across a 8192-bit bus, while the RTX 500 Mobile operates with 128.0 GB/s on a 64-bit bus. The MI350X's bandwidth is approximately 64 times higher. Memory capacity differs by a factor of 72: 288 GB of HBM3e versus 4 GB of GDDR6.
The pixel rate tells a different story. The RTX 500 Mobile has a pixel rate of 64.80 GPixel/s, while the MI350X is recorded at 0 MPixel/s. The MI350X has no ROPs (0 in the specifications), which explains why it cannot perform traditional rasterized pixel output. The RTX 500 has 32 ROPs.
Clock speeds are closer than the compute figures might suggest. The MI350X has a base clock of 1000 MHz and a boost of 2200 MHz. The RTX 500 Mobile starts at 1485 MHz base and boosts to 2025 MHz. The memory clock for both is listed as 2000 MHz, but the effective data rate differs: 8 Gbps effective for the MI350X versus 16 Gbps effective for the RTX 500.
Given the lack of recorded benchmark scores, the data cannot establish which part wins in any measured workload. The specifications alone indicate that these are designed for entirely different purposes, and the performance gap is so large that any comparison would be speculative without actual measurements.
Where Each One Wins
Without benchmark results, the wins must be inferred from the architecture and feature set recorded in the database.
The AMD Instinct MI350X is positioned for compute-heavy workloads. Its 16,384 shading units, 1,024 TMUs, and 288 GB of HBM3e memory point toward large-scale data processing, AI training, and scientific simulation. The 8.19 TB/s memory bandwidth allows it to feed those shading units at rates the RTX 500 cannot approach. The 72.09 TFLOPS FP32 figure and matching 72.09 TFLOPS FP16 (1:1 ratio) indicate that the MI350X does not rely on specialized tensor hardware for its FP16 throughput; it achieves parity with FP32 directly through its compute units.
The MI350X has no display outputs, no ROPs, and no pixel rate. This confirms it is not intended for rendering to a screen or for any graphics output. Its slot width is listed as "OAM Module," meaning it mounts in an open accelerator module form factor, not a standard PCIe slot. The bus interface is PCIe 5.0 x16, which provides high bandwidth to the host system. The power connectors are listed as "None," with a TDP of 1000 W and a suggested PSU of 1400 W. This suggests it draws power through the OAM module connector rather than traditional PCIe power cables.
The NVIDIA RTX 500 Mobile Ada Generation is built for portable graphics and display output. It has 2,048 shading units, 64 TMUs, 32 ROPs, 16 ray tracing cores, and 64 tensor cores. The pixel rate of 64.80 GPixel/s and display outputs labeled "Portable Device Dependent" show that it is meant to drive displays in laptops or mobile workstations. Its 4 GB GDDR6 memory with 128.0 GB/s bandwidth is sufficient for graphics workloads but far below the MI350X's capacity.
The RTX 500 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI350X has no API support recorded: DirectX, OpenGL, and Vulkan are all listed as "N/A." This means the MI350X cannot run standard graphics APIs, while the RTX 500 fully supports them. For any workload that requires DirectX, OpenGL, or Vulkan, the RTX 500 is the only option between the two.
The RTX 500 has a TDP of 35 W, which is dramatically lower than the MI350X's 1000 W. The RTX 500 is listed as an IGP (integrated graphics processor) slot width, suggesting it is designed for compact, power-limited mobile systems. Its predecessor is recorded as "Ampere-MW" and its successor as "Blackwell-MW," confirming its place in NVIDIA's mobile workstation lineup.
Architecture Differences
The two GPUs come from different manufacturers and entirely different architecture families. The AMD Instinct MI350X uses CDNA 4.0 architecture, built on a 3 nm process at TSMC. The NVIDIA RTX 500 Mobile Ada Generation uses Ada Lovelace architecture, built on a 5 nm process, also at TSMC. The process node difference is significant: 3 nm versus 5 nm.
Transistor counts differ by an order of magnitude. The MI350X packs 185,000 million transistors (185 billion) on a die size of 2380 mm². The RTX 500 has 18,900 million transistors (18.9 billion) on a 159 mm² die. Transistor density favors the NVIDIA part: 118.9M transistors per mm² for the RTX 500 versus 77.7M per mm² for the MI350X. The MI350X is a massive chip with lower density, while the RTX 500 is a much smaller die with higher density.
The MI350X has 16,384 shading units, 1,024 TMUs, and 0 ROPs. The RTX 500 has 2,048 shading units, 64 TMUs, and 32 ROPs. The MI350X has no ray tracing cores and no tensor cores listed. The RTX 500 has 16 ray tracing cores and 64 tensor cores. This is a fundamental architectural split: the MI350X relies purely on massive compute unit counts, while the RTX 500 includes dedicated hardware for ray tracing and tensor operations.
Memory architecture could not be more different. The MI350X uses 288 GB of HBM3e with an 8192-bit bus, achieving 8.19 TB/s. The RTX 500 uses 4 GB of GDDR6 with a 64-bit bus, achieving 128.0 GB/s. The HBM3e stack on the MI350X is designed for bandwidth density, while the GDDR6 on the RTX 500 is a conventional graphics memory solution.
Clock behavior differs as well. The MI350X runs at 1000 MHz base and 2200 MHz boost. The RTX 500 runs at 1485 MHz base and 2025 MHz boost. The NVIDIA part has a higher base clock but a lower boost clock. The memory clock is 2000 MHz for both, but the effective data rate is 8 Gbps for the MI350X and 16 Gbps for the RTX 500, reflecting different signaling standards.
The MI350X is marked as generation "Instinct (MIx)" with a release date of 2025-06-11. Its predecessor is "Radeon Instinct." The RTX 500 is generation "Ada-MW (x000A)" with a release date of 2024-02-25. Its predecessor is "Ampere-MW" and its successor is "Blackwell-MW." The MI350X has no successor recorded.
Power consumption reveals the design intent. The MI350X has a TDP of 1000 W and a suggested PSU of 1400 W. The RTX 500 has a TDP of 35 W and no suggested PSU listed. The MI350X is a data center accelerator that requires substantial power delivery infrastructure. The RTX 500 is a mobile part designed for battery-powered operation.
The MI350X measures 102 mm in length and 165 mm in width, with no height recorded. The RTX 500 has no dimensions recorded, consistent with its IGP classification where the GPU is integrated into a mobile platform.
The Verdict
The recorded data shows two products that do not compete in the same market segment. The AMD Instinct MI350X is a 1000 W, 3 nm, 288 GB HBM3e accelerator with 16,384 shading units and no graphics output. The NVIDIA RTX 500 Mobile Ada Generation is a 35 W, 5 nm, 4 GB GDDR6 mobile GPU with ray tracing cores, tensor cores, and full graphics API support.
For compute workloads that require massive memory capacity and bandwidth, the MI350X is the clear choice based on its 8.19 TB/s bandwidth and 288 GB capacity. Its 72.09 TFLOPS FP32 throughput and matching FP16 performance indicate it can handle mixed-precision workloads without relying on tensor cores. The absence of display outputs and graphics APIs means it is not suitable for any task that needs to render images to a screen.
For mobile graphics, display output, ray tracing, and tensor-based acceleration, the RTX 500 is the only option between the two. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, which the MI350X does not. Its 4 GB memory and 128.0 GB/s bandwidth are modest but appropriate for a 35 W mobile part.
The lack of benchmark scores means no measured performance comparison is possible. The specification differences are so large that a direct performance comparison would likely be meaningless: these are not competing products. The MI350X targets data center compute, while the RTX 500 targets portable graphics.
Users who need a GPU for AI training, scientific computing, or any workload that benefits from hundreds of gigabytes of memory should consider the MI350X. Users who need a GPU for a laptop, mobile workstation, or any application that requires graphics output and standard API support should consider the RTX 500. The data does not support any other recommendation.
FAQ
Q: Which GPU has higher FP32 compute performance?
A: The AMD Instinct MI350X has an FP32 throughput of 72.09 TFLOPS, while the NVIDIA RTX 500 Mobile Ada Generation has 8.294 TFLOPS. The MI350X is approximately 8.7 times faster in raw FP32 compute.
Q: Can the AMD Instinct MI350X output video to a display?
A: No. The MI350X has no display outputs and a pixel rate of 0 MPixel/s, with 0 ROPs. It is not designed for graphics output.
Q: Does the NVIDIA RTX 500 support modern graphics APIs?
A: Yes. The RTX 500 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI350X lists all three APIs as "N/A."
Q: How much memory does each GPU have?
A: The AMD Instinct MI350X has 288 GB of HBM3e memory. The NVIDIA RTX 500 has 4 GB of GDDR6 memory. The MI350X has 72 times more memory capacity.
Q: What is the power consumption difference?
A: The MI350X has a TDP of 1000 W with a suggested PSU of 1400 W. The RTX 500 has a TDP of 35 W and no suggested PSU listed. The MI350X draws roughly 28.6 times more power.
Q: Which GPU has ray tracing cores?
A: Only the NVIDIA RTX 500 has ray tracing cores, with 16 dedicated RT cores. The AMD Instinct MI350X has no ray tracing cores listed in its specifications.
Specification Differences
| Specification | AMD Instinct MI350X | NVIDIA RTX 500 Mobile Ada Generation |
|---|---|---|
| Architecture | CDNA 4.0 | Ada Lovelace |
| Process Node | 3 nm | 5 nm |
| Foundry | TSMC | TSMC |
| Transistors | 185,000 million | 18,900 million |
| Die Size | 2380 mm² | 159 mm² |
| Transistor Density | 77.7M / mm² | 118.9M / mm² |
| Base Clock | 1000 MHz | 1485 MHz |
| Boost Clock | 2200 MHz | 2025 MHz |
| Memory Clock | 2000 MHz, 8 Gbps effective | 2000 MHz, 16 Gbps effective |
| Memory Size | 288 GB | 4 GB |
| Memory Type | HBM3e | GDDR6 |
| Memory Bus Width | 8192 bit | 64 bit |
| Memory Bandwidth | 8.19 TB/s | 128.0 GB/s |
| Shading Units | 16,384 | 2,048 |
| TMUs | 1,024 | 64 |
| ROPs | 0 | 32 |
| Ray Tracing Cores | None listed | 16 |
| Tensor Cores | None listed | 64 |
| Pixel Rate | 0 MPixel/s | 64.80 GPixel/s |
| Texture Rate | 2,252.8 GTexel/s | 129.6 GTexel/s |
| FP32 Performance | 72.09 TFLOPS | 8.294 TFLOPS |
| FP16 Performance | 72.09 TFLOPS (1:1) | 8.294 TFLOPS (1:1) |
| TDP | 1000 W | 35 W |
| Slot Width | OAM Module | IGP |
| Power Connectors | None | None |
| Suggested PSU | 1400 W | None listed |
| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x8 |
| Display Outputs | No outputs | Portable Device Dependent |
| DirectX Support | N/A | 12 Ultimate (12_2) |
| OpenGL Support | N/A | 4.6 |
| Vulkan Support | N/A | 1.4 |
| Dimensions | 102 mm length, 165 mm width | None recorded |
| Release Date | 2025-06-11 | 2024-02-25 |
| Predecessor | Radeon Instinct | Ampere-MW |
| Successor | None listed | Blackwell-MW |
| Production Status | None listed | Active |