AMD Instinct MI350P vs NVIDIA GeForce RTX 5070 SUPER Comparison

FAQ

Q: Which GPU has a higher FP32 compute throughput?

A: The AMD Instinct MI350P delivers 36.04 TFLOPS FP32, while the NVIDIA GeForce RTX 5070 SUPER delivers 32.15 TFLOPS FP32. The AMD part holds a roughly 12% lead in raw shader compute.

Q: What are the memory capacities and types of these two cards?

A: The AMD Instinct MI350P uses 144 GB of HBM3e memory on an 8192-bit bus, providing 8.19 TB/s of bandwidth. The NVIDIA GeForce RTX 5070 SUPER uses 18 GB of GDDR7 on a 192-bit bus, providing 672.0 GB/s.

Q: Which card supports DirectX, OpenGL, and Vulkan?

A: The NVIDIA GeForce RTX 5070 SUPER supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The AMD Instinct MI350P lists N/A for all three API categories, indicating no consumer graphics API support.

Q: What is the process node and transistor count for each chip?

A: The AMD MI350P uses a 3 nm process with 73,000 million transistors on a 1190 mm² die. The NVIDIA RTX 5070 SUPER uses a 5 nm process with 31,100 million transistors on a 263 mm² die.

Q: Does the AMD card have display outputs?

A: No. The AMD Instinct MI350P has "No outputs" listed for display connectivity. The NVIDIA card has 1x HDMI 2.1b and 3x DisplayPort 2.1b outputs.

Q: Which card has a higher texture fill rate?

A: The AMD Instinct MI350P has a texture rate of 1,126.4 GTexel/s, which is more than double the RTX 5070 SUPER's 502.4 GTexel/s. The AMD card also has 512 TMUs versus 200 TMUs on the NVIDIA part.

Architecture Differences

The AMD Instinct MI350P is built on the CDNA 4.0 architecture, while the NVIDIA GeForce RTX 5070 SUPER uses Blackwell 2.0. These architectures target fundamentally different workloads, which explains the significant divergence in their specifications.

The MI350P uses a 3 nm process from TSMC and packs 73,000 million transistors onto a 1190 mm² die, yielding a transistor density of 61.3M per mm². The RTX 5070 SUPER uses a larger 5 nm node and contains 31,100 million transistors on a much smaller 263 mm² die, achieving a higher density of 118.3M per mm². The AMD chip is physically massive, more than four times the die area of the NVIDIA chip.

The memory architecture differs completely. The MI350P is equipped with 144 GB of HBM3e memory across a 8192-bit bus, delivering 8.19 TB/s of bandwidth. The RTX 5070 SUPER has 18 GB of GDDR7 on a 192-bit bus with 672.0 GB/s. The AMD part offers roughly 12 times the bandwidth, which is characteristic of compute accelerators designed for large data sets.

Compute resources also differ sharply. The MI350P has 8192 shading units, 512 TMUs, and no ROPs or RT cores. Its pixel rate is listed as 0 MPixel/s, consistent with a card that has no display outputs. The RTX 5070 SUPER has 6400 shading units, 200 TMUs, 80 ROPs, 50 RT cores, and 200 tensor cores. It delivers a pixel rate of 201.0 GPixel/s and includes full consumer API support.

Clock speeds are notably different. The AMD card runs at a 1000 MHz base and 2200 MHz boost. The NVIDIA card runs at 2325 MHz base and 2512 MHz boost. Despite the lower clocks, the MI350P achieves higher FP32 and FP16 throughput because of its wider execution resources.

The MI350P is a compute accelerator with no graphics output, no consumer API support, and no RT or tensor core counts listed. The RTX 5070 SUPER is a fully featured consumer GPU with HDMI and DisplayPort outputs, DirectX 12 Ultimate, and hardware ray tracing and tensor capabilities. The AMD card targets data center and HPC workloads, while the NVIDIA card targets desktop graphics and gaming.

Power requirements also differ. The MI350P has a TDP of 600 W and a suggested PSU of 1000 W. The RTX 5070 SUPER has a TDP of 275 W with no suggested PSU listed. Both use a single 16-pin power connector and dual-slot cooling.

The Verdict

The data shows two products engineered for entirely separate markets, and the choice depends strictly on the workload requirements.

For compute-heavy tasks that demand massive memory capacity and bandwidth, the AMD Instinct MI350P is the clear selection. Its 144 GB of HBM3e and 8.19 TB/s bandwidth far exceed what the RTX 5070 SUPER can provide. The MI350P also leads in FP32 compute at 36.04 TFLOPS versus 32.15 TFLOPS, and its texture rate of 1,126.4 GTexel/s is more than double the NVIDIA card's 502.4 GTexel/s. These figures indicate strong performance for large-scale data processing, scientific computing, and AI training workloads where memory capacity is the limiting factor.

For desktop graphics, gaming, and any workload requiring display output or consumer API support, the NVIDIA GeForce RTX 5070 SUPER is the only viable option of the two. The MI350P has no display outputs and lists N/A for DirectX, OpenGL, and Vulkan. The RTX 5070 SUPER provides 1x HDMI 2.1b and 3x DisplayPort 2.1b, supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and includes 50 RT cores and 200 tensor cores for ray tracing and AI-accelerated features.

The RTX 5070 SUPER also operates with a much lower TDP of 275 W compared to 600 W, making it more suitable for standard desktop environments. The MI350P's 600 W draw and 1000 W suggested PSU place it in server or workstation territory.

The RTX 5070 SUPER has one recorded benchmark result: a 3DMark Steel Nomad DX12 score of 2690, placing it in the 18th percentile among all GPUs in the database. Its nearest rivals include the NVIDIA Quadro K1100M at 2664 (1% slower), the GeForce GT 1030 at 2662 (1.1% slower), the Intel Arc Pro B50 at 2660 (1.1% slower), and the GeForce GT 440 at 2645 (1.7% slower). The MI350P has no recorded benchmark scores and sits at the 50th percentile with an average score of 0.

Users who need a graphics card for rendering, gaming, or general desktop use should select the RTX 5070 SUPER. Users who need a compute accelerator for memory-bound workloads should select the MI350P. There is no overlap in their intended use cases.

Specification Differences

The two cards differ across nearly every hardware category.

Process and die: The MI350P uses 3 nm TSMC with 73,000 million transistors on a 1190 mm² die. The RTX 5070 SUPER uses 5 nm TSMC with 31,100 million transistors on a 263 mm² die. Transistor density is 61.3M per mm² for AMD versus 118.3M per mm² for NVIDIA.

Clocks: The MI350P has a 1000 MHz base and 2200 MHz boost. The RTX 5070 SUPER has a 2325 MHz base and 2512 MHz boost. Memory clocks are 2000 MHz (8 Gbps effective) for AMD and 1750 MHz (28 Gbps effective) for NVIDIA.

Memory: The MI350P has 144 GB of HBM3e on a 8192-bit bus with 8.19 TB/s bandwidth. The RTX 5070 SUPER has 18 GB of GDDR7 on a 192-bit bus with 672.0 GB/s.

Compute units: The MI350P has 8192 shading units, 512 TMUs, and 0 ROPs. The RTX 5070 SUPER has 6400 shading units, 200 TMUs, and 80 ROPs. The MI350P lists no RT or tensor cores, while the RTX 5070 SUPER has 50 RT cores and 200 tensor cores.

Rates: The MI350P has a pixel rate of 0 MPixel/s and a texture rate of 1,126.4 GTexel/s. The RTX 5070 SUPER has a pixel rate of 201.0 GPixel/s and a texture rate of 502.4 GTexel/s. FP32 is 36.04 TFLOPS for AMD and 32.15 TFLOPS for NVIDIA. FP16 is identical to FP32 for both cards at a 1:1 ratio.

Power and physical: The MI350P has a 600 W TDP and a suggested PSU of 1000 W. The RTX 5070 SUPER has a 275 W TDP with no suggested PSU. Both are dual-slot and use a single 16-pin connector. The MI350P measures 267 mm by 111 mm by 40 mm. The RTX 5070 SUPER measures 245 mm by 115 mm by 40 mm.

Connectivity: The MI350P has no display outputs, while the RTX 5070 SUPER has 1x HDMI 2.1b and 3x DisplayPort 2.1b. Both use PCIe 5.0 x16.

API support: The MI350P lists N/A for DirectX, OpenGL, and Vulkan. The RTX 5070 SUPER supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Release dates: The MI350P has a release date of 2026-05-06. The RTX 5070 SUPER has a release date of 2025-12-31. The RTX 5070 SUPER has an active production status, while the MI350P does not list one.

Head-to-Head Benchmarks

There are no direct head-to-head benchmark results recorded in the database for these two products. The wins count is 0 for both cards. However, the available specification data and the single benchmark for the RTX 5070 SUPER allow for a comparative analysis.

The RTX 5070 SUPER has a 3DMark Steel Nomad DX12 score of 2690. This result places it at the 18th percentile among all GPUs. Its nearest rivals are clustered closely: the Quadro K1100M scores 2664 (1% behind), the GT 1030 scores 2662 (1.1% behind), the Arc Pro B50 scores 2660 (1.1% behind), and the GT 440 scores 2645 (1.7% behind). This indicates that the RTX 5070 SUPER leads its immediate competitor group by a narrow margin.

The MI350P has no benchmark entries and an average score of 0, placing it at the 50th percentile by default. Its lack of consumer graphics API support and display outputs means it cannot run the same graphics benchmarks as the RTX 5070 SUPER. The two cards are not directly comparable in standard 3DMark testing.

In raw compute metrics, the MI350P shows clear advantages. Its FP32 output of 36.04 TFLOPS exceeds the RTX 5070 SUPER's 32.15 TFLOPS by approximately 3.89 TFLOPS, or about 12%. Its FP16 output is identical to its FP32 at 36.04 TFLOPS, matching the NVIDIA card's 1:1 ratio. The texture rate difference is substantial: 1,126.4 GTexel/s versus 502.4 GTexel/s, a 124% advantage for AMD.

Memory bandwidth is the largest differentiator. The MI350P's 8.19 TB/s is roughly 12.2 times the RTX 5070 SUPER's 672.0 GB/s. This bandwidth advantage, combined with 144 GB of capacity versus 18 GB, positions the MI350P for workloads that require holding large models or datasets in memory.

The RTX 5070 SUPER counters with its pixel rate of 201.0 GPixel/s, which the MI350P cannot match at 0 MPixel/s. The NVIDIA card's 80 ROPs and 50 RT cores enable graphics rendering and ray tracing, capabilities the AMD accelerator does not provide.

Where Each One Wins

The AMD Instinct MI350P wins in compute throughput and memory-bound workloads. Its 36.04 TFLOPS FP32 and FP16 performance, 1,126.4 GTexel/s texture rate, 144 GB HBM3e capacity, and 8.19 TB/s bandwidth make it the stronger choice for large-scale parallel computation. Its 512 TMUs support heavy texture processing, and its 8192 shading units provide wide execution width. The 600 W TDP and 1000 W suggested PSU indicate a design for sustained, high-intensity compute sessions in server environments where power delivery is not a constraint.

The NVIDIA GeForce RTX 5070 SUPER wins in graphics rendering, display output, and consumer API compatibility. It is the only card of the two with HDMI and DisplayPort outputs, DirectX 12 Ultimate support, OpenGL 4.6, and Vulkan 1.4. Its 80 ROPs and 201.0 GPixel/s pixel rate enable rasterized graphics output. Its 50 RT cores provide hardware ray tracing, and its 200 tensor cores support AI acceleration. The 275 W TDP makes it suitable for desktop power budgets.

In the database's benchmark hierarchy, the RTX 5070 SUPER has a recorded result that places it among entry-level performers, scoring 2690 in 3DMark Steel Nomad DX12 and ranking at the 18th percentile. Its nearest rivals are all within 1.7% of its score, showing a tight competitive cluster. The MI350P has no comparable result because it is not a graphics card in the traditional sense.

The practical split is clear: for rendering, gaming, or any workload with a display, the RTX 5070 SUPER is the functional choice. For data center compute, model training, or scientific simulation where memory size and bandwidth dominate, the MI350P is the appropriate hardware. The two cards should not be considered substitutes for each other.