AMD Instinct MI350P vs NVIDIA RTX 5000 Ada Generation Comparison

Head-to-Head Benchmarks

The recorded data for this comparison is asymmetrical. The AMD Instinct MI350P has no benchmark scores listed in the database. Its average benchmark score is recorded as 0, and it holds a 50th percentile position among all GPUs. The NVIDIA RTX 5000 Ada Generation, conversely, has two recorded benchmark results: a Geekbench OpenCL score of 175,286 and a Geekbench Vulkan score of 194,041. These results produce an average benchmark score of 184,664, placing the NVIDIA card in the 98th percentile of all GPUs.

Because the MI350P lacks recorded benchmark data, direct head-to-head comparisons cannot be established. The database shows zero wins for either card in a head-to-head matchup. The NVIDIA card's nearest rivals provide context for its performance. The RTX 5000 Ada Generation sits 0.5% ahead of the NVIDIA A100 SXM4 80 GB, which scores 183,725. It trails the NVIDIA A100 SXM4 40 GB by 1.3%, as that card scores 187,147. Against the NVIDIA RTX PRO 5000 Blackwell, the RTX 5000 Ada Generation leads by 1.4%, with the rival scoring 182,109. The GeForce RTX 4090 D is 3.7% behind, scoring 178,050.

The absence of MI350P benchmark entries means the data cannot quantify relative performance between the two cards in this section. The RTX 5000 Ada Generation's scores, however, indicate a high-performing workstation card, sitting comfortably among the top 2% of all GPUs in the database.

Architecture Differences

The two cards diverge fundamentally in their underlying architectures. The AMD Instinct MI350P uses the CDNA 4.0 architecture, built on a 3 nm process node at TSMC. Its chip is designated MI350 128CU. The NVIDIA RTX 5000 Ada Generation employs the Ada Lovelace architecture, fabricated on a 5 nm process node, also at TSMC, with the AD102 chip.

The transistor counts differ notably. The MI350P contains 73,000 million transistors on a die size of 1190 mm². The RTX 5000 Ada Generation packs 76,300 million transistors onto a 609 mm² die. Transistor density tells a clear story: the NVIDIA chip achieves 125.3 million transistors per square millimeter, whereas the AMD chip reaches 61.3 million per square millimeter. This indicates the NVIDIA process integration is denser, despite the larger absolute transistor count on the AMD side.

Memory architecture presents another major divergence. The MI350P uses HBM3e memory totaling 144 GB, with an 8192-bit bus width and 8.19 TB/s of bandwidth. The RTX 5000 Ada Generation uses GDDR6 memory at 32 GB, with a 256-bit bus and 576.0 GB/s bandwidth. The AMD card's memory bandwidth is over fourteen times higher, a direct consequence of the HBM3e stack and ultra-wide bus.

The compute configurations also differ sharply. The MI350P has 8192 shading units and 512 texture mapping units, but zero raster output units. The RTX 5000 Ada Generation has 12,800 shading units, 400 TMUs, and 176 ROPs. The NVIDIA card also includes 100 ray tracing cores and 400 tensor cores, while the AMD card lists no RT or tensor core counts. Pixel rate reflects this: the MI350P is recorded at 0 MPixel/s, while the NVIDIA card delivers 448.8 GPixel/s. Texture rates are closer, with the MI350P at 1,126.4 GTexel/s and the NVIDIA card at 1,020.0 GTexel/s.

Clock speeds differ as well. The MI350P has a 1000 MHz base clock and a 2200 MHz boost clock, with memory running at 2000 MHz (8 Gbps effective). The RTX 5000 Ada Generation boosts higher at 2550 MHz from a 1155 MHz base, with memory at 2250 MHz (18 Gbps effective). FP32 throughput favors NVIDIA at 65.28 TFLOPS versus 36.04 TFLOPS for AMD. Both cards list FP16 at a 1:1 ratio with their FP32 figures. The MI350P consumes 600 W, while the RTX 5000 Ada Generation draws 250 W. The AMD card requires a 1000 W suggested PSU, the NVIDIA card a 600 W unit.

Where Each One Wins

The data supports a clear split by workload type. The NVIDIA RTX 5000 Ada Generation wins decisively in any rasterization or ray-traced workload. Its 176 ROPs, 100 RT cores, and 448.8 GPixel/s pixel rate enable real-time graphics rendering, DirectX 12 Ultimate support, OpenGL 4.6, and Vulkan 1.4. The MI350P has no display outputs, no pixel rate, and lists N/A for all API support. This makes the NVIDIA card the only option for graphics-centric tasks, including visualization, 3D modeling, and any application requiring a display connection.

For memory-bound compute workloads, the AMD Instinct MI350P shows structural advantages. Its 144 GB of HBM3e memory dwarfs the 32 GB GDDR6 on the NVIDIA card. The 8.19 TB/s bandwidth versus 576.0 GB/s means large datasets, training runs, or inference batches that exceed 32 GB can reside entirely on the AMD card. The 8192-bit bus width supports massive parallel memory access patterns that the 256-bit NVIDIA bus cannot match.

Raw FP32 compute favors the NVIDIA card. At 65.28 TFLOPS, it delivers 81% more floating-point throughput than the MI350P's 36.04 TFLOPS. For workloads that fit within the 32 GB memory limit and do not require the full memory bandwidth, the NVIDIA card processes faster. The MI350P, however, consumes 600 W versus 250 W, so the NVIDIA card delivers higher compute per watt based on the recorded figures.

The AMD card wins on memory capacity and bandwidth, and on its 3 nm process node. The NVIDIA card wins on transistor density, clock speeds, FP32 performance, pixel rate, API support, and power efficiency. The MI350P has no recorded benchmarks, so empirical performance wins cannot be assigned; the analysis rests on architectural specifications.

Specification Differences

The two cards differ on nearly every recorded specification. Process node: 3 nm for AMD versus 5 nm for NVIDIA. Transistors: 73,000 million versus 76,300 million. Die size: 1190 mm² versus 609 mm². Transistor density: 61.3M per mm² versus 125.3M per mm².

Base clock: 1000 MHz versus 1155 MHz. Boost clock: 2200 MHz versus 2550 MHz. Memory clock: 2000 MHz (8 Gbps effective) versus 2250 MHz (18 Gbps effective). Memory size: 144 GB versus 32 GB. Memory type: HBM3e versus GDDR6. Bus width: 8192 bit versus 256 bit. Bandwidth: 8.19 TB/s versus 576.0 GB/s.

Shading units: 8192 versus 12,800. TMUs: 512 versus 400. ROPs: 0 versus 176. RT cores: not listed versus 100. Tensor cores: not listed versus 400. Pixel rate: 0 MPixel/s versus 448.8 GPixel/s. Texture rate: 1,126.4 GTexel/s versus 1,020.0 GTexel/s. FP32: 36.04 TFLOPS versus 65.28 TFLOPS. FP16: 36.04 TFLOPS (1:1) versus 65.28 TFLOPS (1:1).

TDP: 600 W versus 250 W. Suggested PSU: 1000 W versus 600 W. Bus interface: PCIe 5.0 x16 versus PCIe 4.0 x16. Display outputs: none versus 4x DisplayPort 1.4a. APIs: N/A versus DirectX 12 Ultimate (12_2), OpenGL 4.6, Vulkan 1.4. Dimensions: both are 267 mm long and approximately 111-112 mm high; the MI350P has a 40 mm width, the NVIDIA card has no recorded width. Release dates: 2026-05-06 for AMD versus 2023-08-08 for NVIDIA. Production status: not recorded for AMD versus Active for NVIDIA. Predecessor: Radeon Instinct for AMD versus Workstation Ampere for NVIDIA. Successor: none recorded for AMD versus Blackwell PRO W for NVIDIA. The NVIDIA card also records a 98th percentile position and an average benchmark score of 184,664, while the AMD card sits at the 50th percentile with a score of 0.

FAQ

Q: Does the AMD Instinct MI350P have any benchmark scores in the database?

A: No. The MI350P has no recorded benchmark entries. Its average benchmark score is listed as 0, and it holds a 50th percentile position among all GPUs.

Q: What is the NVIDIA RTX 5000 Ada Generation's average benchmark score?

A: The average benchmark score is 184,664, derived from a Geekbench OpenCL score of 175,286 and a Geekbench Vulkan score of 194,041.

Q: Which card has more memory bandwidth?

A: The AMD Instinct MI350P has 8.19 TB/s of bandwidth from its HBM3e memory, while the NVIDIA RTX 5000 Ada Generation has 576.0 GB/s from GDDR6 memory.

Q: Which card supports ray tracing?

A: The NVIDIA RTX 5000 Ada Generation includes 100 ray tracing cores. The AMD Instinct MI350P lists no ray tracing core count.

Q: What is the difference in FP32 compute performance?

A: The NVIDIA card delivers 65.28 TFLOPS FP32, while the AMD card delivers 36.04 TFLOPS FP32.

Q: Which card has a higher transistor density?

A: The NVIDIA RTX 5000 Ada Generation has 125.3 million transistors per mm², compared to the AMD Instinct MI350P's 61.3 million per mm².

The Verdict

The recorded data points to two distinct usage profiles. The AMD Instinct MI350P is built for memory-capacity-bound compute. Its 144 GB HBM3e memory, 8.19 TB/s bandwidth, and 8192-bit bus make it suitable for workloads that require holding very large models or datasets in memory. The 3 nm process node and PCIe 5.0 x16 interface support modern server integration. The lack of display outputs, API support, and any benchmark scores, however, limits its recorded utility to accelerator-class compute without graphics output.

The NVIDIA RTX 5000 Ada Generation is the more versatile card according to the database. It holds a 98th percentile rank, has recorded benchmark scores averaging 184,664, and outperforms its nearest rivals by margins between 0.5% and 3.7%. Its 65.28 TFLOPS FP32, 448.8 GPixel/s pixel rate, and 100 RT cores make it capable across graphics, ray tracing, and compute workloads. The 32 GB GDDR6 memory, while far smaller than the AMD card's 144 GB, still supports substantial datasets.

For a user prioritizing raw memory capacity and bandwidth above all else, the MI350P's specifications stand out. For a user needing a dual-slot card with display outputs, API support, recorded benchmark performance, and lower power consumption at 250 W, the RTX 5000 Ada Generation is the clear selection. The data shows no head-to-head benchmark results, so empirical performance comparisons cannot be made. The architectural differences, however, define the use cases: the AMD card for massive memory footprint compute, the NVIDIA card for graphics-capable, high-FP32 workstation tasks.