AMD Instinct MI350P vs NVIDIA RTX PRO 4000 Blackwell Comparison

FAQ

Q: What are the core architectural identities of the AMD Instinct MI350P and NVIDIA RTX PRO 4000 Blackwell?

A: The MI350P uses AMD's CDNA 4.0 architecture on a 3 nm TSMC process, built around the MI350 128CU chip. The RTX PRO 4000 uses NVIDIA's Blackwell 2.0 architecture on a 5 nm TSMC process, built around the GB203 chip.

Q: How do the memory subsystems differ between the two cards?

A: The MI350P has 144 GB of HBM3e memory on an 8192-bit bus with 8.19 TB/s bandwidth. The RTX PRO 4000 has 24 GB of GDDR7 memory on a 192-bit bus with 672.0 GB/s bandwidth.

Q: Which card has a higher raw FP32 compute rating?

A: The RTX PRO 4000 is rated at 36.83 TFLOPS FP32, slightly ahead of the MI350P's 36.04 TFLOPS FP32. Both cards have a 1:1 FP16 to FP32 ratio at the same TFLOPS figures.

Q: What is the physical size and power requirement difference?

A: The MI350P is a dual-slot card at 267 mm long, 111 mm tall, and 40 mm wide, with a 600 W TDP and a 1000 W suggested PSU. The RTX PRO 4000 is a single-slot card at 241 mm long, 111 mm tall, and 20 mm wide, with a 140 W TDP and 300 W suggested PSU.

Q: Does the MI350P support display outputs?

A: No, the MI350P has no display outputs. The RTX PRO 4000 has 4x DisplayPort 2.1b outputs and supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the MI350P reports N/A for all graphics APIs.

Q: How do the cards compare in benchmark percentile ranking?

A: The RTX PRO 4000 sits at the 72nd percentile among all GPUs with an average benchmark score of 27135. The MI350P has a 50th percentile and an average benchmark score of 0, with no benchmark results recorded in the database.

Architecture Differences

The AMD Instinct MI350P and NVIDIA RTX PRO 4000 Blackwell represent two fundamentally different design philosophies. The MI350P is a compute-focused accelerator built on the CDNA 4.0 architecture, manufactured on a 3 nm process at TSMC. It packs 73,000 million transistors onto a massive 1190 mm² die, yielding a transistor density of 61.3M per mm². The chip, designated MI350 128CU, features 8192 shading units, 512 TMUs, and zero ROPs. This absence of ROPs, combined with a pixel rate of 0 MPixel/s, confirms the card is not designed for rasterized graphics output. The MI350P has no RT cores and no tensor cores listed, and its API support is entirely absent (DirectX, OpenGL, and Vulkan all report N/A). The memory subsystem consists of 144 GB of HBM3e across an 8192-bit bus, delivering 8.19 TB/s of bandwidth. The base clock is 1000 MHz with a boost of 2200 MHz, and memory runs at 2000 MHz with 8 Gbps effective speed. Texture rate is 1,126.4 GTexel/s.

The RTX PRO 4000 uses the Blackwell 2.0 architecture on a 5 nm TSMC process. The GB203 chip contains 45,600 million transistors on a 378 mm² die, giving a much higher transistor density of 120.6M per mm². It has 8960 shading units, 280 TMUs, 96 ROPs, 70 RT cores, and 280 tensor cores. The pixel rate is 197.3 GPixel/s, and the texture rate is 575.4 GTexel/s. Memory is 24 GB of GDDR7 on a 192-bit bus with 672.0 GB/s bandwidth. Clocks are 1230 MHz base and 2055 MHz boost, with memory at 1750 MHz and 28 Gbps effective. The card fully supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, and provides 4x DisplayPort 2.1b outputs. The production status is Active.

These architectures are aimed at completely different workloads. The MI350P is a pure compute accelerator with no graphics pipeline, while the RTX PRO 4000 is a full-featured workstation GPU with ray tracing, tensor cores, and display outputs. The die size difference is substantial: the MI350P is over three times larger in area (1190 mm² vs 378 mm²) and holds 60% more transistors. The process node advantage goes to AMD at 3 nm, but NVIDIA compensates with a much denser design.

Where Each One Wins

The data shows a clear split by workload type. The MI350P wins decisively in memory capacity and bandwidth. With 144 GB of HBM3e and 8.19 TB/s bandwidth, it is built for large datasets that exceed the 24 GB GDDR7 frame buffer of the RTX PRO 4000. The 8192-bit memory bus is unprecedented in the consumer or workstation segment. Applications that load massive models or large simulation grids will clearly favor the MI350P. Its 600 W TDP and dual-slot form factor indicate a server-oriented card designed for sustained compute loads, not desktop use.

The RTX PRO 4000 wins in every graphics and display-related category. It has actual ROPs, RT cores, tensor cores, and a full graphics API stack. The 4x DisplayPort 2.1b outputs make it suitable for multi-monitor professional visualization. Its 140 W TDP and single-slot design allow installation in standard workstations with modest power supplies. The 197.3 GPixel/s pixel rate and 96 ROPs confirm real rasterization capability. The FP32 compute ratings are nearly identical (36.83 vs 36.04 TFLOPS), so raw math throughput is not the differentiator. The RTX PRO 4000 also has a recorded benchmark presence, sitting at the 72nd percentile with an average score of 27135, while the MI350P has no benchmark data recorded.

For machine learning training and inference, the RTX PRO 4000 brings 280 tensor cores and 70 RT cores, though the MI350P lists no equivalent units. The MI350P's raw memory bandwidth is 12.2 times higher, which can dominate memory-bound workloads. The RTX PRO 4000's 672.0 GB/s bandwidth is respectable but far lower. For interactive rendering, video editing, or CAD with real-time viewports, the RTX PRO 4000 is the only viable option because the MI350P has no display output at all.

Specification Differences

The two cards differ in nearly every specification field:

• Process node: 3 nm (MI350P) vs 5 nm (RTX PRO 4000)
• Transistors: 73,000 million vs 45,600 million
• Die size: 1190 mm² vs 378 mm²
• Transistor density: 61.3M / mm² vs 120.6M / mm²
• Base clock: 1000 MHz vs 1230 MHz
• Boost clock: 2200 MHz vs 2055 MHz
• Memory clock: 2000 MHz 8 Gbps effective vs 1750 MHz 28 Gbps effective
• Memory size: 144 GB vs 24 GB
• Memory type: HBM3e vs GDDR7
• Memory bus width: 8192 bit vs 192 bit
• Memory bandwidth: 8.19 TB/s vs 672.0 GB/s
• Shading units: 8192 vs 8960
• TMUs: 512 vs 280
• ROPs: 0 vs 96
• RT cores: None vs 70
• Tensor cores: None vs 280
• Pixel rate: 0 MPixel/s vs 197.3 GPixel/s
• Texture rate: 1,126.4 GTexel/s vs 575.4 GTexel/s
• FP32: 36.04 TFLOPS vs 36.83 TFLOPS
• FP16: 36.04 TFLOPS (1:1) vs 36.83 TFLOPS (1:1)
• TDP: 600 W vs 140 W
• Slot width: Dual-slot vs Single-slot
• Suggested PSU: 1000 W vs 300 W
• Display outputs: No outputs vs 4x DisplayPort 2.1b
• Dimensions: 267 mm x 111 mm x 40 mm vs 241 mm x 111 mm x 20 mm
• Release date: 2026-05-06 vs 2025-03-17
• Production status: Not listed vs Active

The MI350P has a higher boost clock (2200 vs 2055 MHz) and far more TMUs (512 vs 280), giving it a texture rate nearly double that of the RTX PRO 4000. The RTX PRO 4000 has a higher base clock (1230 vs 1000 MHz) and more shading units (8960 vs 8192). Both cards use a PCIe 5.0 x16 interface and a single 16-pin power connector.

Head-to-Head Benchmarks

The database contains no head-to-head benchmark results between these two cards. The wins count is zero for each. However, the RTX PRO 4000 has standalone benchmark scores recorded, while the MI350P has none.

The RTX PRO 4000's benchmark results show a mixed profile. In 3DMark Steel Nomad DX12, it scores 4648. Geekbench Vulkan yields 194168. Passmark tests show DirectX 10 at 173, DirectX 11 at 276, DirectX 12 at 97, DirectX 9 at 354, G2D at 1265, G3D at 28427, and GPU compute at 14805. The average benchmark score is 27135, placing it at the 72nd percentile.

The nearest rivals in the database for the RTX PRO 4000 provide context. The AMD Radeon RX 6700 XT has an average score of 27425, which is 1.1% higher. The NVIDIA GeForce RTX 4070 Mobile scores 27435, also 1.1% higher. The NVIDIA GeForce RTX 3090 scores 27565, 1.6% higher. The NVIDIA RTX A4000 scores 26683, which is 1.7% lower. These deltas are all within a narrow band, indicating the RTX PRO 4000 performs at a level comparable to a previous-generation flagship desktop GPU and a mid-range mobile part.

The MI350P has no benchmark scores, no average score, and no nearest rivals. Its 50th percentile ranking is a default value rather than a measured result. The data cannot confirm any performance advantage for the MI350P in actual applications. The only measurable comparisons are architectural: the MI350P's massive memory bandwidth and capacity versus the RTX PRO 4000's balanced compute and graphics feature set.

The Verdict

The choice between these cards depends entirely on the workload. The AMD Instinct MI350P is a server-grade compute accelerator. Its 144 GB HBM3e memory and 8.19 TB/s bandwidth are the standout features. Any application that requires holding large models, massive simulation grids, or high-bandwidth data streaming will benefit from this memory subsystem. The 600 W TDP, dual-slot design, and 1000 W suggested PSU indicate it belongs in a rack server, not a desktop workstation. The lack of display outputs, graphics APIs, and ROPs means it cannot render to a screen. The 3 nm process and 73,000 million transistors on a 1190 mm² die show a design optimized purely for throughput.

The NVIDIA RTX PRO 4000 Blackwell is a professional workstation GPU. Its 140 W TDP and single-slot design fit standard workstations. The full API support (DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4) and 4x DisplayPort 2.1b outputs enable interactive visualization and multi-monitor setups. The 70 RT cores and 280 tensor cores provide hardware acceleration for ray tracing and AI workloads. The 24 GB GDDR7 memory is sufficient for many professional tasks but is far smaller than the MI350P's capacity.

The FP32 compute ratings are nearly identical: 36.83 TFLOPS for the RTX PRO 4000 versus 36.04 TFLOPS for the MI350P. This suggests raw math throughput is not the deciding factor. The RTX PRO 4000 has a recorded benchmark presence with an average score of 27135 at the 72nd percentile, while the MI350P has no recorded scores. The RTX PRO 4000's nearest rivals are all within 1.7% of its average score, showing it performs in the range of the RTX 3090 and RX 6700 XT.

For a user who needs a functional GPU for graphics, rendering, or desktop compute, the RTX PRO 4000 is the only choice with display outputs and graphics APIs. For a user who needs maximum memory capacity and bandwidth for large-scale compute workloads without any graphics requirement, the MI350P is architecturally superior. The data does not support a single winner across all categories. The MI350P wins on memory capacity and bandwidth by a wide margin. The RTX PRO 4000 wins on graphics features, power efficiency, and measured benchmark results. The decision should be based on whether the workload requires rendering output or massive memory.