AMD Instinct MI350P vs NVIDIA GeForce RTX 4090 D Comparison

The AMD Instinct MI350P and the NVIDIA GeForce RTX 4090 D represent two fundamentally different design philosophies within the same generation of accelerator hardware. The MI350P is a data-center compute card built on the CDNA 4.0 architecture, while the RTX 4090 D is a consumer-oriented graphics card from the Ada Lovelace generation. The recorded data shows that the RTX 4090 D carries an average benchmark score of 178050 and sits at the 98th percentile among all GPUs, whereas the MI350P currently has no recorded benchmark scores and rests at the 50th percentile. This comparison highlights how raw compute specifications, memory subsystems, and interface choices diverge sharply between an AI/cloud accelerator and a high-end desktop graphics solution.

FAQ

Q: What is the primary architectural difference between the MI350P and the RTX 4090 D?

A: The MI350P uses AMD's CDNA 4.0 architecture, which is designed for compute and AI workloads, while the RTX 4090 D uses NVIDIA's Ada Lovelace architecture, which includes dedicated ray tracing cores and tensor cores for graphics and AI acceleration. The MI350P has no display outputs and no DirectX, OpenGL, or Vulkan API support, whereas the RTX 4090 D supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4.

Q: How do their memory configurations compare?

A: The MI350P features 144 GB of HBM3e memory on a 8192-bit bus, delivering 8.19 TB/s of bandwidth. The RTX 4090 D has 24 GB of GDDR6X on a 384-bit bus, providing 1.01 TB/s of bandwidth. The MI350P memory capacity is six times larger, and its bandwidth is roughly eight times higher.

Q: What are the peak FP32 performance figures for each card?

A: The MI350P delivers 36.04 TFLOPS of FP32 compute, while the RTX 4090 D delivers 73.54 TFLOPS. The RTX 4090 D more than doubles the MI350P in raw single-precision floating-point throughput.

Q: Which card has a higher thermal design power (TDP) requirement?

A: The MI350P has a TDP of 600 W, compared to 425 W for the RTX 4090 D. The MI350P also requires a 1000 W suggested power supply, while the RTX 4090 D suggests an 800 W unit.

Q: Are there any benchmark results recorded for the MI350P?

A: No benchmark scores are listed for the MI350P in the database. The RTX 4090 D has three recorded tests: 3DMark Steel Nomad DX12 at 8587, Geekbench OpenCL at 278621, and Geekbench Vulkan at 246941.

Q: What is the production status of each card?

A: The RTX 4090 D is marked as end-of-life, with a release date of December 27, 2023. The MI350P has a release date of May 6, 2026, and no production status is listed in the database.

Architecture Differences

The architectural split between these two accelerators is stark. The MI350P uses CDNA 4.0, a compute-optimized architecture that abandons traditional graphics pipelines entirely. Its API support is listed as N/A for DirectX, OpenGL, and Vulkan, and it has no display outputs. The chip, designated MI350 128CU, contains 8192 shading units and 512 texture mapping units, but its ROP count is 0, and its pixel rate is 0 MPixel/s. This confirms that the MI350P cannot rasterize graphics at all; it is a pure compute device for server workloads.

The RTX 4090 D uses the AD102 chip from the Ada Lovelace architecture. It carries 14592 shading units, 456 texture mapping units, 176 ROPs, 114 ray tracing cores, and 456 tensor cores. Its pixel rate reaches 443.5 GPixel/s, and its texture rate is 1,149.1 GTexel/s. The presence of ray tracing and tensor cores indicates that this card is designed for real-time graphics, AI-enhanced rendering, and general-purpose compute within a consumer platform.

Process node and die size also differ considerably. The MI350P is fabricated on a 3 nm process at TSMC, with 73,000 million transistors on a 1190 mm² die, giving a transistor density of 61.3M per mm². The RTX 4090 D uses a 5 nm TSMC process, packs 76,300 million transistors on a 609 mm² die, and reaches a density of 125.3M per mm². The MI350P has a larger physical die but lower density, while the RTX 4090 D crams more transistors into roughly half the area.

Clock behavior differs as well. The MI350P runs at a base clock of 1000 MHz and boosts to 2200 MHz. The RTX 4090 D starts at 2280 MHz base and boosts to 2520 MHz. Despite the MI350P's lower clock speed, its texture rate of 1,126.4 GTexel/s is close to the RTX 4090 D's 1,149.1 GTexel/s, driven by its 512 TMUs versus 456 on the NVIDIA card.

Memory architecture reinforces the divergence. The MI350P uses HBM3e memory with an 8192-bit bus and 8.19 TB/s bandwidth. The RTX 4090 D uses GDDR6X with a 384-bit bus and 1.01 TB/s bandwidth. HBM3e exists primarily for bandwidth-hungry AI training and inference, while GDDR6X suits graphics workloads where latency and capacity balance matter.

Bus interface and physical design differ too. The MI350P uses PCIe 5.0 x16, while the RTX 4090 D uses PCIe 4.0 x16. The MI350P is dual-slot, measures 267 mm in length, 111 mm in height, and 40 mm in width. The RTX 4090 D is triple-slot, measuring 304 mm long, 137 mm tall, and 61 mm wide. Both use a single 16-pin power connector.

Head-to-Head Benchmarks

The database records no direct head-to-head benchmark comparisons between the MI350P and the RTX 4090 D. The MI350P has no benchmark entries at all, and the wins tally shows 0 for each side. However, the RTX 4090 D has its own set of recorded scores and a clear position among its nearest rivals.

The RTX 4090 D averages 178050 across its benchmark suite. Its nearest competitor is the NVIDIA RTX PRO 5000 Blackwell, which averages 182109, a difference of -2.2%. The NVIDIA A100 SXM4 80 GB scores 183725, putting the RTX 4090 D 3.1% behind. The RTX 5000 Ada Generation averages 184664, a 3.6% gap, and the A100 SXM4 40 GB hits 187147, which is 4.9% higher.

In individual tests, the RTX 4090 D scores 8587 in 3DMark Steel Nomad DX12, 278621 in Geekbench OpenCL, and 246941 in Geekbench Vulkan. The OpenCL score exceeds the Vulkan score by 31680 points, indicating that this card performs better under the OpenCL compute framework than under Vulkan in synthetic workloads.

The MI350P's 36.04 TFLOPS FP32 figure stands in direct contrast to the RTX 4090 D's 73.54 TFLOPS. In FP16, both cards maintain a 1:1 ratio with their FP32 numbers, meaning the MI350P reaches 36.04 TFLOPS and the RTX 4090 D reaches 73.54 TFLOPS. The NVIDIA card holds a 2.04x advantage in both precisions.

Texture rate is nearly identical: the MI350P delivers 1,126.4 GTexel/s compared to the RTX 4090 D's 1,149.1 GTexel/s, a difference of 22.7 GTexel/s in favor of NVIDIA. Pixel rate, however, is not comparable because the MI350P has no ROPs and reports 0 MPixel/s, while the RTX 4090 D outputs 443.5 GPixel/s.

Memory bandwidth is where the MI350P dominates. At 8.19 TB/s, it offers 8.1 times the bandwidth of the RTX 4090 D's 1.01 TB/s. This massive advantage suits large-scale matrix operations and massive model weights, while the RTX 4090 D's smaller 24 GB capacity may limit its ability to hold large datasets in local memory.

The RTX 4090 D's percentile ranking at 98 means it outperforms 98% of all GPUs in the database. The MI350P sits at the 50th percentile, but this reflects its lack of recorded scores rather than measured performance. The absence of benchmarks for the MI350P makes direct score comparison impossible, but specification-level data offers a clear picture of intended use cases.

Specification Differences

The two cards differ across nearly every measurable specification.

• Architecture: CDNA 4.0 (MI350P) versus Ada Lovelace (RTX 4090 D)
• Process node: 3 nm (MI350P) versus 5 nm (RTX 4090 D), both from TSMC
• Transistors: 73,000 million (MI350P) versus 76,300 million (RTX 4090 D)
• Die size: 1190 mm² (MI350P) versus 609 mm² (RTX 4090 D)
• Transistor density: 61.3M / mm² (MI350P) versus 125.3M / mm² (RTX 4090 D)
• Base clock: 1000 MHz (MI350P) versus 2280 MHz (RTX 4090 D)
• Boost clock: 2200 MHz (MI350P) versus 2520 MHz (RTX 4090 D)
• Memory size: 144 GB (MI350P) versus 24 GB (RTX 4090 D)
• Memory type: HBM3e (MI350P) versus GDDR6X (RTX 4090 D)
• Memory bus: 8192 bit (MI350P) versus 384 bit (RTX 4090 D)
• Memory bandwidth: 8.19 TB/s (MI350P) versus 1.01 TB/s (RTX 4090 D)
• Memory clock: 2000 MHz, 8 Gbps effective (MI350P) versus 1313 MHz, 21 Gbps effective (RTX 4090 D)
• Shading units: 8192 (MI350P) versus 14592 (RTX 4090 D)
• TMUs: 512 (MI350P) versus 456 (RTX 4090 D)
• ROPs: 0 (MI350P) versus 176 (RTX 4090 D)
• RT cores: not listed (MI350P) versus 114 (RTX 4090 D)
• Tensor cores: not listed (MI350P) versus 456 (RTX 4090 D)
• Pixel rate: 0 MPixel/s (MI350P) versus 443.5 GPixel/s (RTX 4090 D)
• Texture rate: 1,126.4 GTexel/s (MI350P) versus 1,149.1 GTexel/s (RTX 4090 D)
• FP32: 36.04 TFLOPS (MI350P) versus 73.54 TFLOPS (RTX 4090 D)
• FP16: 36.04 TFLOPS (MI350P) versus 73.54 TFLOPS (RTX 4090 D)
• TDP: 600 W (MI350P) versus 425 W (RTX 4090 D)
• Slot width: Dual-slot (MI350P) versus Triple-slot (RTX 4090 D)
• Power connector: 1x 16-pin for both
• Suggested PSU: 1000 W (MI350P) versus 800 W (RTX 4090 D)
• Bus interface: PCIe 5.0 x16 (MI350P) versus PCIe 4.0 x16 (RTX 4090 D)
• Display outputs: No outputs (MI350P) versus 1x HDMI 2.1 and 3x DisplayPort 1.4a (RTX 4090 D)
• DirectX support: N/A (MI350P) versus 12 Ultimate (12_2) (RTX 4090 D)
• OpenGL support: N/A (MI350P) versus 4.6 (RTX 4090 D)
• Vulkan support: N/A (MI350P) versus 1.4 (RTX 4090 D)
• Release date: May 6, 2026 (MI350P) versus December 27, 2023 (RTX 4090 D)
• Production status: not listed (MI350P) versus End-of-life (RTX 4090 D)
• Launch MSRP: not listed (MI350P) versus 1,599 USD (RTX 4090 D)

The Verdict

The data positions these two accelerators for entirely different environments. The MI350P exists for server racks and data centers where memory capacity and bandwidth dictate performance. Its 144 GB of HBM3e at 8.19 TB/s enables workloads that cannot fit in the RTX 4090 D's 24 GB GDDR6X pool. The MI350P also uses PCIe 5.0, which doubles the interconnect bandwidth available on the RTX 4090 D's PCIe 4.0 interface, a relevant factor for multi-GPU communication and host-to-device transfers.

The RTX 4090 D is a graphics card with compute capability. Its 73.54 TFLOPS FP32 output, 114 ray tracing cores, and 456 tensor cores serve gaming, rendering, and workstation tasks. The presence of display outputs and full DirectX 12 Ultimate support confirms its role as a consumer product. Its 98th percentile ranking among all GPUs, based on recorded benchmarks, reflects strong all-around performance in the tests available.

The MI350P's lack of benchmark scores means no direct performance comparison can be made. Yet the specification sheet reveals a machine optimized for scale: more memory, wider bus, higher bandwidth, and a newer PCIe generation. The trade-off appears in compute throughput, where the RTX 4090 D leads by 37.5 TFLOPS in FP32, and in power consumption, where the MI350P draws 175 W more.

For users needing graphics output, ray tracing, or broad API compatibility, the RTX 4090 D is the only viable option between the two. For workloads centered on massive matrix operations, large language models, or scientific simulation that requires memory beyond 24 GB, the MI350P's architecture aligns with those demands. The RTX 4090 D has a launch MSRP of 1,599 USD, while the MI350P has no listed price.

The production status of the RTX 4090 D is end-of-life, while the MI350P is set for release in 2026. The MI350P's predecessor is listed as Radeon Instinct, and the RTX 4090 D's predecessor is GeForce 30, with its successor being GeForce 50. These lineage markers reinforce that the MI350P continues AMD's data-center compute line, while the RTX 4090 D wraps up NVIDIA's consumer 40-series before the next generation.

Benchmark results indicate that the RTX 4090 D trails its nearest rivals by margins between 2.2% and 4.9%, placing it in a competitive band among high-end accelerators. The MI350P has no such data yet. Until benchmarks are recorded, the MI350P remains a specification-level entry, while the RTX 4090 D carries verified scores and a clear performance position.