AMD Instinct MI350X vs NVIDIA RTX PRO 4000 Blackwell Comparison
AMD Instinct MI350X
RTX PRO 4000 Blackwell
PERFORMANCE BENCHMARKS
Analysis: AMD Instinct MI350X vs NVIDIA RTX PRO 4000 Blackwell
Where Each One Wins
The data separates these two professional accelerators into entirely different operating domains. The AMD Instinct MI350X is a compute-first accelerator with no display outputs and no graphics API support, built for data-center scale workloads where memory capacity and raw FP32 throughput dominate. The NVIDIA RTX PRO 4000 Blackwell is a workstation card with full graphics capabilities, including DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 support, plus four DisplayPort 2.1b outputs.
The MI350X wins decisively in raw compute throughput. Its FP32 rating of 72.09 TFLOPS is nearly double the 36.83 TFLOPS of the RTX PRO 4000. Its FP16 performance matches FP32 at 72.09 TFLOPS (1:1), while the RTX PRO 4000 also delivers 36.83 TFLOPS for FP16. The MI350X also holds a massive memory advantage: 288 GB of HBM3e versus 24 GB of GDDR7. Memory bandwidth tells the same story: 8.19 TB/s versus 672.0 GB/s, a 12.2x gap.
The RTX PRO 4000 wins in every category that involves graphics or practical workstation deployment. It has 70 RT cores and 280 tensor cores, whereas the MI350X lists no RT or tensor core counts. The RTX PRO 4000 delivers a pixel rate of 197.3 GPixel/s, while the MI350X is rated at 0 MPixel/s. The RTX PRO 4000 also has a texture rate of 575.4 GTexel/s, compared to 2,252.8 GTexel/s for the MI350X, but the NVIDIA card actually renders graphics while the AMD part does not.
The benchmark database confirms this split. The RTX PRO 4000 has nine recorded benchmark scores, including 3DMark Steel Nomad DX12 at 4648, Geekbench Vulkan at 194168, and Passmark G3D at 28427. The MI350X has no recorded benchmarks and an average score of 0, placing it at the 50th percentile versus all GPUs. The RTX PRO 4000 sits at the 72nd percentile with an average score of 27135.
FAQ
Q: Which card has better raw compute throughput?
A: The AMD Instinct MI350X. Its FP32 rating is 72.09 TFLOPS versus 36.83 TFLOPS for the NVIDIA RTX PRO 4000 Blackwell. The FP16 numbers mirror this exactly, with the MI350X at 72.09 TFLOPS and the RTX PRO 4000 at 36.83 TFLOPS.
Q: Can the MI350X be used for graphics workloads?
A: No. The MI350X has no display outputs, no DirectX support, no OpenGL support, and no Vulkan support. Its pixel rate is rated at 0 MPixel/s. The RTX PRO 4000 supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, with four DisplayPort 2.1b outputs.
Q: How do the memory configurations compare?
A: The MI350X uses 288 GB of HBM3e across an 8192-bit bus, providing 8.19 TB/s of bandwidth. The RTX PRO 4000 uses 24 GB of GDDR7 across a 192-bit bus, providing 672.0 GB/s. The MI350X has 12x the memory capacity and 12.2x the bandwidth.
Q: What is the power requirement difference?
A: The MI350X has a TDP of 1000 W with a suggested PSU of 1400 W and uses an OAM module form factor with no power connectors. The RTX PRO 4000 has a TDP of 140 W, a suggested PSU of 300 W, uses a single-slot form factor, and requires one 16-pin power connector.
Q: How does the RTX PRO 4000 compare to its nearest rivals in the database?
A: Its average benchmark score of 27135 puts it 1.7% ahead of the NVIDIA RTX A4000 at 26683, and 1.1% behind both the AMD Radeon RX 6700 XT at 27425 and the NVIDIA GeForce RTX 4070 Mobile at 27435. It trails the NVIDIA GeForce RTX 3090 at 27565 by 1.6%.
Q: Which card has better graphics API compatibility?
A: Only the RTX PRO 4000 supports graphics APIs. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI350X lists N/A for all three.
Head-to-Head Benchmarks
Direct benchmark comparisons are impossible because the MI350X has no recorded benchmark scores. The database lists zero head-to-head benchmark entries, zero wins for the MI350X, and zero wins for the RTX PRO 4000. The only comparable data comes from the RTX PRO 4000's own benchmark results and its nearest rival comparisons.
The RTX PRO 4000's Passmark G3D score of 28427 places it within 1.6% of the GeForce RTX 3090's 27565 average score. In Passmark GPU Compute, the RTX PRO 4000 scores 14805. Its 3DMark Steel Nomad DX12 result of 4648 and Geekbench Vulkan score of 194168 demonstrate functional graphics and compute capability.
The MI350X, by contrast, has an average benchmark score of exactly 0. This does not mean it is slower; it means the database contains no measurements for it. The hardware specifications suggest massive compute capability, but without benchmark data, no numerical comparison against the RTX PRO 4000 is possible from the recorded facts.
The architectural intent is clear from the specs. The MI350X has 16384 shading units, 1024 TMUs, and 0 ROPs. The RTX PRO 4000 has 8960 shading units, 280 TMUs, and 96 ROPs. The MI350X also has a texture rate of 2,252.8 GTexel/s, which is 3.9x the RTX PRO 4000's 575.4 GTexel/s. But the MI350X's 0 ROPs and 0 MPixel/s pixel rate mean it cannot output frames.
Specification Differences
The two cards differ in nearly every measurable specification. The MI350X uses a 3 nm TSMC process, while the RTX PRO 4000 uses 5 nm. The MI350X packs 185,000 million transistors on a 2380 mm² die, giving a density of 77.7M per mm². The RTX PRO 4000 has 45,600 million transistors on a 378 mm² die, with a density of 120.6M per mm².
Clock speeds differ notably. The MI350X has a base clock of 1000 MHz and a boost clock of 2200 MHz. The RTX PRO 4000 has a base clock of 1230 MHz and a boost clock of 2055 MHz. The RTX PRO 4000 runs at a higher base clock but a lower boost clock.
Memory specifications diverge completely. The MI350X uses 288 GB of HBM3e with an 8192-bit bus and 8.19 TB/s bandwidth. The RTX PRO 4000 uses 24 GB of GDDR7 with a 192-bit bus and 672.0 GB/s bandwidth. Memory clock rates are 2000 MHz (8 Gbps effective) for the MI350X and 1750 MHz (28 Gbps effective) for the RTX PRO 4000.
Physical specifications also separate them. The MI350X is an OAM module measuring 102 mm by 165 mm, while the RTX PRO 4000 is a single-slot card at 241 mm by 111 mm by 20 mm. The MI350X has no power connectors and no display outputs. The RTX PRO 4000 has one 16-pin connector and four DisplayPort 2.1b outputs. The MI350X has a TDP of 1000 W and suggests a 1400 W PSU, while the RTX PRO 4000 has a TDP of 140 W and suggests a 300 W PSU.
Release dates differ by roughly three months. The RTX PRO 4000 launched on 2025-03-17, and the MI350X launched on 2025-06-11. The RTX PRO 4000 has an active production status; the MI350X has no production status listed.
Architecture Differences
The MI350X uses AMD's CDNA 4.0 architecture on the MI350 256CU chip, while the RTX PRO 4000 uses NVIDIA's Blackwell 2.0 architecture on the GB203 chip. These are fundamentally different designs with different goals.
The MI350X is built for compute density. Its 16384 shading units and 1024 TMUs feed a massive FP32 pipeline rated at 72.09 TFLOPS. The architecture has no ROPs, no RT cores listed, and no tensor cores listed. It cannot render graphics, which aligns with its lack of display outputs and API support. The CDNA 4.0 design prioritizes memory bandwidth: 8.19 TB/s from HBM3e over an 8192-bit bus enables data movement that dwarfs the RTX PRO 4000's 672.0 GB/s.
The RTX PRO 4000 uses a balanced architecture with 8960 shading units, 280 TMUs, 96 ROPs, 70 RT cores, and 280 tensor cores. This configuration supports both rasterization and ray tracing, as evidenced by its DirectX 12 Ultimate support. The Blackwell 2.0 architecture includes dedicated hardware for graphics acceleration, which the CDNA 4.0 design omits entirely.
Transistor density favors the RTX PRO 4000 at 120.6M per mm² versus 77.7M per mm² for the MI350X, despite the MI350X using a smaller 3 nm node. The MI350X spreads 185,000 million transistors across a massive 2380 mm² die, while the RTX PRO 4000 fits 45,600 million into 378 mm². The node difference (3 nm versus 5 nm) does not translate into higher density for the AMD part because the MI350X prioritizes raw scale over compactness.
The MI350X's FP16 performance matches its FP32 at 72.09 TFLOPS with a 1:1 ratio, indicating a design that does not double-rate FP16. The RTX PRO 4000 also lists FP16 at 36.83 TFLOPS with a 1:1 ratio, so neither card uses the common consumer trick of accelerating FP16 beyond FP32.
The Verdict
The recorded data supports a clear division of roles. The AMD Instinct MI350X is a data-center compute accelerator for workloads that need massive memory capacity (288 GB), extreme bandwidth (8.19 TB/s), and high FP32 throughput (72.09 TFLOPS). It has no graphics capability whatsoever, no display outputs, and no graphics API support. Its 1000 W TDP and OAM module form factor target rack-mounted servers, not deskside workstations.
The NVIDIA RTX PRO 4000 Blackwell is a professional workstation GPU for users who need graphics acceleration alongside compute. Its 24 GB of GDDR7, 70 RT cores, and 280 tensor cores support rendering, ray tracing, and AI-accelerated workflows. Its 140 W TDP and single-slot design fit into standard workstation builds with a 300 W PSU recommendation. The four DisplayPort 2.1b outputs enable multi-monitor setups, and its DirectX 12 Ultimate support means it handles modern graphics APIs.
Benchmark data exists only for the RTX PRO 4000, which scores at the 72nd percentile overall with an average of 27135. Its nearest rivals in the database are the AMD Radeon RX 6700 XT at 27425 (1.1% higher), the NVIDIA GeForce RTX 4070 Mobile at 27435 (1.1% higher), the NVIDIA GeForce RTX 3090 at 27565 (1.6% higher), and the NVIDIA RTX A4000 at 26683 (1.7% lower). The MI350X has no benchmark scores and sits at the 50th percentile by default.
The choice between these two comes down to workload type. The MI350X serves compute-heavy environments where graphics are irrelevant and memory capacity is the bottleneck. The RTX PRO 4000 serves professionals who need a single card for rendering, simulation, and general workstation duties. Neither card can substitute for the other. The MI350X cannot display an image, and the RTX PRO 4000 cannot match the MI350X's memory capacity or FP32 throughput, with 24 GB versus 288 GB and 36.83 TFLOPS versus 72.09 TFLOPS respectively.