AMD Instinct MI350X vs AMD Radeon PRO W7900D Comparison

FAQ

Q: What are the core specifications of the AMD Instinct MI350X and the AMD Radeon PRO W7900D?

A: The MI350X uses the MI350 256CU chip with a 3 nm process, 185,000 million transistors, and a 2380 mm² die size. The W7900D uses the Navi 31 chip with a 5 nm process, 57,700 million transistors, and a 529 mm² die size.

Q: How do the memory configurations differ between these two cards?

A: The MI350X features 288 GB of HBM3e memory on an 8192-bit bus with 8.19 TB/s bandwidth. The W7900D has 48 GB of GDDR6 memory on a 384-bit bus with 864.0 GB/s bandwidth.

Q: What are the clock speeds for each card?

A: The MI350X has a base clock of 1000 MHz and a boost clock of 2200 MHz, with memory running at 2000 MHz (8 Gbps effective). The W7900D has a base clock of 1327 MHz and a boost clock of 2156 MHz, with memory at 2250 MHz (18 Gbps effective).

Q: What is the power consumption difference between the two?

A: The MI350X has a TDP of 1000 W and requires a suggested PSU of 1400 W. The W7900D has a TDP of 295 W and a suggested PSU of 600 W.

Q: Do both cards support display outputs?

A: No. The MI350X has no display outputs, while the W7900D includes 3x DisplayPort 2.1 and 1x mini-DisplayPort 2.1.

Q: What are the release dates for these products?

A: The MI350X was released on 2025-06-11, while the W7900D was released later on 2025-09-24.

Architecture Differences

The AMD Instinct MI350X and the AMD Radeon PRO W7900D represent two distinct architectural approaches from the same manufacturer, targeting different segments of the compute market.

The MI350X is built on CDNA 4.0 architecture, a compute-optimized design. It uses the MI350 256CU chip fabricated on a 3 nm process at TSMC. This chip integrates 185,000 million transistors across a 2380 mm² die, resulting in a transistor density of 77.7M per mm². The architecture is designed for data center and high-performance computing workloads, with no display outputs and no API support for DirectX, OpenGL, or Vulkan. The MI350X houses 16,384 shading units and 1,024 texture mapping units, but has zero ROPs and a pixel rate of 0 MPixel/s, confirming its non-rendering focus.

The W7900D, in contrast, is built on RDNA 3.0 architecture with the codename Plum Bonito. It uses the Navi 31 chip on a 5 nm process, also from TSMC. This chip contains 57,700 million transistors on a 529 mm² die, with a higher transistor density of 109.1M per mm². The RDNA 3.0 architecture retains full graphics capabilities, including 96 ray tracing cores, 192 ROPs, and a pixel rate of 414.0 GPixel/s. The W7900D supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it suitable for professional visualization and rendering tasks.

The memory architectures diverge sharply. The MI350X uses 288 GB of HBM3e on an 8192-bit bus, achieving 8.19 TB/s bandwidth. The W7900D uses 48 GB of GDDR6 on a 384-bit bus, with 864.0 GB/s bandwidth. The MI350X's memory subsystem offers roughly ninefold the bandwidth capacity, a critical factor for large-scale compute workloads.

The MI350X has a base clock of 1000 MHz and boost clock of 2200 MHz, while the W7900D runs at 1327 MHz base and 2156 MHz boost. Despite the MI350X's lower base clock, its compute throughput is substantially higher, as reflected in the FP32 and FP16 figures.

The physical and power profiles differ fundamentally. The MI350X is an OAM module measuring 102 mm in length and 165 mm in width, with no power connectors and a TDP of 1000 W. The W7900D is a triple-slot card measuring 280 mm by 110 mm by 51 mm, using 2x 8-pin power connectors with a TDP of 295 W. The MI350X uses PCIe 5.0 x16, while the W7900D uses PCIe 4.0 x16.

Head-to-Head Benchmarks

The database records no direct benchmark scores for either card, with both showing an average benchmark score of 0 and a percentile ranking of 50 against all GPUs. The head-to-head benchmark array is empty, and the wins counter shows 0 for both cards. This means no comparative performance measurements exist in the recorded data.

The absence of benchmark data is notable given the specification differences. The FP32 compute figures, however, provide a theoretical comparison. The MI350X delivers 72.09 TFLOPS FP32 and 72.09 TFLOPS FP16 (1:1 ratio). The W7900D delivers 52.99 TFLOPS FP32 and 52.99 TFLOPS FP16 (1:1 ratio). This indicates the MI350X offers roughly 36% higher raw FP32 throughput than the W7900D, a meaningful gap for compute-intensive tasks.

The texture rate tells a similar story. The MI350X achieves 2,252.8 GTexel/s, while the W7900D reaches 827.9 GTexel/s. The MI350X's texture throughput is about 2.7 times higher, aligning with its larger shading unit count.

For rendering workloads, the W7900D holds advantages. Its 414.0 GPixel/s pixel rate contrasts with the MI350X's 0 MPixel/s. The W7900D's 96 ray tracing cores provide hardware acceleration that the MI350X lacks entirely. These differences reflect the cards' divergent purposes: the MI350X is a compute accelerator, while the W7900D is a graphics workstation card.

Memory bandwidth is another decisive factor. The MI350X's 8.19 TB/s bandwidth eclipses the W7900D's 864.0 GB/s by nearly an order of magnitude. This bandwidth advantage matters for large data sets, deep learning models, and scientific simulations that repeatedly access memory.

The benchmark database currently shows no wins for either card in head-to-head comparisons, and the nearest rivals arrays are empty. The percentile ranking of 50 for both cards indicates they sit at the median of all GPUs in the database, but without actual benchmark scores, this ranking reflects only the distribution position, not measured performance.

Specification Differences

The two cards differ across nearly every specification field.

Process and Die: The MI350X uses a 3 nm process with 185,000 million transistors on a 2380 mm² die. The W7900D uses a 5 nm process with 57,700 million transistors on a 529 mm² die. Transistor density favors the W7900D at 109.1M per mm² versus 77.7M per mm² for the MI350X.

Clocks: The MI350X has a base clock of 1000 MHz and boost of 2200 MHz. The W7900D has a base clock of 1327 MHz and boost of 2156 MHz. Memory clocks also differ: 2000 MHz (8 Gbps effective) for the MI350X versus 2250 MHz (18 Gbps effective) for the W7900D.

Memory: The MI350X has 288 GB of HBM3e on an 8192-bit bus with 8.19 TB/s bandwidth. The W7900D has 48 GB of GDDR6 on a 384-bit bus with 864.0 GB/s bandwidth.

Compute Units: The MI350X has 16,384 shading units and 1,024 TMUs, with 0 ROPs. The W7900D has 6,144 shading units, 384 TMUs, and 192 ROPs. The MI350X has no ray tracing cores; the W7900D has 96.

Performance Metrics: The MI350X achieves 72.09 TFLOPS FP32 and FP16, with a texture rate of 2,252.8 GTexel/s and pixel rate of 0 MPixel/s. The W7900D achieves 52.99 TFLOPS FP32 and FP16, with a texture rate of 827.9 GTexel/s and pixel rate of 414.0 GPixel/s.

Power and Cooling: The MI350X has a TDP of 1000 W, no power connectors, and a suggested PSU of 1400 W. The W7900D has a TDP of 295 W, 2x 8-pin power connectors, and a suggested PSU of 600 W.

Physical Dimensions: The MI350X is an OAM module at 102 mm by 165 mm. The W7900D is a triple-slot card at 280 mm by 110 mm by 51 mm.

Bus and Display: The MI350X uses PCIe 5.0 x16 with no display outputs. The W7900D uses PCIe 4.0 x16 with 3x DisplayPort 2.1 and 1x mini-DisplayPort 2.1.

APIs: The MI350X has no API support. The W7900D supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Release Status: The MI350X released on 2025-06-11 with production status not recorded. The W7900D released on 2025-09-24 with an active production status.

Where Each One Wins

The MI350X wins in compute-oriented workloads. Its FP32 and FP16 throughput of 72.09 TFLOPS exceeds the W7900D's 52.99 TFLOPS, making it the stronger choice for general-purpose GPU compute, scientific simulation, and AI inference tasks. The 288 GB HBM3e memory with 8.19 TB/s bandwidth provides a massive advantage for working with large models and data sets that exceed the W7900D's 48 GB capacity. The 8192-bit memory bus enables data movement at a scale the W7900D cannot approach. The MI350X's 2,252.8 GTexel/s texture rate also favors heavily textured compute kernels, though this metric matters less in non-graphics contexts.

The W7900D wins in graphics and rendering workloads. Its 414.0 GPixel/s pixel rate and 96 ray tracing cores enable hardware-accelerated ray tracing and traditional rasterization, features entirely absent from the MI350X. The W7900D's display outputs (3x DisplayPort 2.1 and 1x mini-DisplayPort 2.1) allow direct connection to monitors, while the MI350X has none. API support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 makes the W7900D compatible with standard graphics software stacks. The higher base clock of 1327 MHz and memory clock of 2250 MHz (18 Gbps effective) provide advantages in latency-sensitive interactive workloads.

The power profiles also define their respective domains. The MI350X's 1000 W TDP and 1400 W suggested PSU demand data center infrastructure, while the W7900D's 295 W TDP and 600 W suggested PSU fit workstation environments. The MI350X's OAM form factor and PCIe 5.0 x16 interface suit server integration, whereas the W7900D's triple-slot PCIe 4.0 x16 card installs into standard workstation chassis.

The release timing shows the MI350X launched on 2025-06-11, preceding the W7900D's 2025-09-24 release. Both cards carry a percentile ranking of 50 in the database, though the lack of benchmark scores prevents a measured comparison. The recorded data indicates these are complementary products: the MI350X targets throughput and memory capacity, while the W7900D targets graphics fidelity and connectivity.