AMD Instinct MI300A vs NVIDIA GeForce RTX 5090 D V2 Comparison

FAQ

Q: What are the two products compared on this page?

A: The AMD Instinct MI300A and the NVIDIA GeForce RTX 5090 D V2. The MI300A is an Instinct-series accelerator from AMD, while the RTX 5090 D V2 is a GeForce 50-series graphics card from NVIDIA.

Q: Which product has a higher FP32 compute rating?

A: The NVIDIA GeForce RTX 5090 D V2 delivers 104.8 TFLOPS FP32, while the AMD Instinct MI300A delivers 61.29 TFLOPS FP32. The NVIDIA part is roughly 70% ahead in this raw compute metric.

Q: What is the memory capacity difference?

A: The AMD Instinct MI300A carries 128 GB of HBM3 across an 8192-bit bus, providing 5.32 TB/s of bandwidth. The NVIDIA GeForce RTX 5090 D V2 has 24 GB of GDDR7 on a 384-bit bus, with 1.34 TB/s of bandwidth.

Q: Which product has a higher percentile ranking in the database?

A: The NVIDIA GeForce RTX 5090 D V2 sits at the 59th percentile among all GPUs, while the AMD Instinct MI300A sits at the 50th percentile. The MI300A has an average benchmark score of 0 because no benchmark records are logged, whereas the RTX 5090 D V2 has an average score of 16504.

Q: What is the TDP of each product?

A: The AMD Instinct MI300A is rated at 750 W, while the NVIDIA GeForce RTX 5090 D V2 is rated at 575 W. The suggested PSU for the MI300A is 1150 W, and for the RTX 5090 D V2 it is 950 W.

Q: Does the NVIDIA product support graphics APIs?

A: Yes. The GeForce RTX 5090 D V2 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The AMD Instinct MI300A lists N/A for DirectX, OpenGL, and Vulkan, and has no display outputs.

Architecture Differences

The two accelerators diverge sharply in design goals. The AMD Instinct MI300A uses the CDNA 3.0 architecture, built on the Aqua Vanjaram chip. It is manufactured on a 5 nm process at TSMC with 153,000 million transistors on a 1017 mm² die, yielding a transistor density of 150.4M per mm². The NVIDIA GeForce RTX 5090 D V2 uses the Blackwell 2.0 architecture, implemented in the GB202 chip. It is also fabricated on a 5 nm TSMC process, but with 92,200 million transistors on a 750 mm² die, for a transistor density of 122.9M per mm².

The MI300A is a compute-oriented accelerator with 14,592 shading units, 912 texture mapping units, and 0 ROPs. Its pixel rate is listed as 0 MPixel/s, and its texture rate is 1,915.2 GTexel/s. It has no listed RT cores or tensor cores. The NVIDIA part, by contrast, is a full graphics processor: 21,760 shading units, 680 TMUs, 176 ROPs, 170 RT cores, and 680 tensor cores. Its pixel rate is 423.6 GPixel/s and its texture rate is 1,636.8 GTexel/s.

Memory architecture separates them completely. The MI300A uses 128 GB of HBM3 with an 8192-bit bus and 5.32 TB/s bandwidth. The RTX 5090 D V2 uses 24 GB of GDDR7 with a 384-bit bus and 1.34 TB/s bandwidth. Clock behavior also differs: the MI300A has a base clock of 1000 MHz and a boost of 2100 MHz, with memory at 1300 MHz (5.2 Gbps effective). The RTX 5090 D V2 runs a base of 2017 MHz and a boost of 2407 MHz, with memory at 1750 MHz (28 Gbps effective).

Form factor and connectivity underline the different intended environments. The MI300A is an OAM module with no power connectors, no display outputs, and no graphics API support. The RTX 5090 D V2 is a dual-slot card measuring 304 mm by 137 mm by 48 mm, uses a single 16-pin power connector, and outputs video through 1x HDMI 2.1b and 3x DisplayPort 2.1b. Both use a PCIe 5.0 x16 bus interface.

Where Each One Wins

The recorded benchmark data contains only one entry, a 3DMark Steel Nomad DX12 run of 16504 for the RTX 5090 D V2. The MI300A has no logged benchmark scores, so direct empirical wins can only be credited to the NVIDIA product in the database. That single score places the RTX 5090 D V2 at the 59th percentile of all GPUs, ahead of the MI300A's 50th percentile.

From the specification record, the MI300A wins in memory capacity and memory bandwidth. Its 128 GB capacity and 5.32 TB/s bandwidth are far beyond the RTX 5090 D V2's 24 GB and 1.34 TB/s. For workloads that depend on holding very large datasets near the processor, such as large-model inference or high-performance computing, the MI300A's memory subsystem is the decisive advantage. Its texture rate of 1,915.2 GTexel/s also exceeds the NVIDIA part's 1,636.8 GTexel/s, which matters for texture-heavy compute pipelines.

The RTX 5090 D V2 wins in raw FP32 throughput, pixel throughput, and API support. Its 104.8 TFLOPS FP32 is nearly twice the MI300A's 61.29 TFLOPS. It also provides 423.6 GPixel/s versus 0 MPixel/s for the MI300A, reflecting that the AMD accelerator is not designed for rasterization. The NVIDIA card is the only one of the two with graphics API compatibility, RT cores, tensor cores, display outputs, and a standard dual-slot form factor.

The release timeline favors the NVIDIA product: the RTX 5090 D V2 was released on 2025-08-14, while the MI300A was released on 2023-12-05. The NVIDIA product is listed as Active in production status, while the MI300A's production status is not recorded.

Specification Differences

The table below isolates only the fields where the two products differ.

• Architecture: CDNA 3.0 (AMD) vs Blackwell 2.0 (NVIDIA)
• Chip: Aqua Vanjaram vs GB202
• Generation: Instinct (MIx) vs GeForce 50
• Transistors: 153,000 million vs 92,200 million
• Die size: 1017 mm² vs 750 mm²
• Transistor density: 150.4M / mm² vs 122.9M / mm²
• Base clock: 1000 MHz vs 2017 MHz
• Boost clock: 2100 MHz vs 2407 MHz
• Memory clock: 1300 MHz 5.2 Gbps effective vs 1750 MHz 28 Gbps effective
• Memory size: 128 GB vs 24 GB
• Memory type: HBM3 vs GDDR7
• Memory bus width: 8192 bit vs 384 bit
• Memory bandwidth: 5.32 TB/s vs 1.34 TB/s
• Shading units: 14592 vs 21760
• TMUs: 912 vs 680
• ROPs: 0 vs 176
• RT cores: absent vs 170
• Tensor cores: absent vs 680
• Pixel rate: 0 MPixel/s vs 423.6 GPixel/s
• Texture rate: 1,915.2 GTexel/s vs 1,636.8 GTexel/s
• FP32: 61.29 TFLOPS vs 104.8 TFLOPS
• FP16: not recorded vs 104.8 TFLOPS (1:1)
• TDP: 750 W vs 575 W
• Slot width: OAM Module vs Dual-slot
• Power connectors: None vs 1x 16-pin
• Suggested PSU: 1150 W vs 950 W
• Display outputs: No outputs vs 1x HDMI 2.1b, 3x DisplayPort 2.1b
• DirectX: N/A vs 12 Ultimate (12_2)
• OpenGL: N/A vs 4.6
• Vulkan: N/A vs 1.4
• Dimensions: not recorded vs 304 mm x 137 mm x 48 mm
• Release date: 2023-12-05 vs 2025-08-14
• Predecessor: Radeon Instinct vs GeForce 40
• Successor: not recorded vs GeForce 60
• Percentile: 50 vs 59
• Average benchmark score: 0 vs 16504
• Launch MSRP: not recorded vs 2,299 USD

Head-to-Head Benchmarks

The head-to-head benchmark list is empty, meaning no paired comparison runs are recorded. The only available performance data point is the RTX 5090 D V2's 3DMark Steel Nomad DX12 score of 16504. That score is almost identical to its nearest rivals in the database: the NVIDIA T400 scores 16508 (0% delta), the AMD Radeon PRO W7500 scores 16415 (0.5% delta), the NVIDIA RTX PRO 6000 Blackwell scores 16408 (0.6% delta), and the AMD Radeon RX 5700 XT scores 16361 (0.9% delta). The RTX 5090 D V2 trails the T400 by 4 points, a negligible margin, and leads the RX 5700 XT by 143 points.

Because the MI300A has no benchmark entries, its 50th percentile ranking is derived from aggregate database position rather than a measured score. The RTX 5090 D V2's 59th percentile comes from its logged average of 16504. In the absence of a direct comparison, the specification deltas supply the strongest evidence. The RTX 5090 D V2 holds a 70.9% FP32 advantage over the MI300A, a 423.6 GPixel/s rasterization advantage, and a 2407 MHz boost clock versus 2100 MHz. The MI300A counters with a 4.33x memory bandwidth advantage and a 5.33x memory capacity advantage.

The Verdict

The database records support a clear split by workload type. The NVIDIA GeForce RTX 5090 D V2 is the only one of the two with a measured benchmark score, and that score of 16504 places it at the 59th percentile, directly alongside the T400, Radeon PRO W7500, RTX PRO 6000 Blackwell, and RX 5700 XT. It also holds the FP32 lead at 104.8 TFLOPS, the only rasterization pipeline of the two, and the only graphics API support. Any workload requiring real-time rendering, DirectX 12 Ultimate, ray tracing, or tensor operations must select the NVIDIA card. Its 575 W TDP is also lower than the MI300A's 750 W, and its suggested PSU of 950 W is below the MI300A's 1150 W.

The AMD Instinct MI300A is the choice when memory is the constraint. Its 128 GB HBM3 pool with 5.32 TB/s bandwidth exceeds the RTX 5090 D V2's 24 GB GDDR7 with 1.34 TB/s by a wide margin. Its texture rate of 1,915.2 GTexel/s also tops the NVIDIA card. The data indicates an accelerator aimed at large working sets, not at the graphics stack: no display outputs, no graphics APIs, and no ROPs. The MI300A's 50th percentile, with no benchmark evidence logged, cannot be compared numerically to the RTX 5090 D V2's 59th percentile in any measured sense.

In practical terms, the RTX 5090 D V2 delivers the only verified performance record in this pairing, the higher percentile, the higher FP32 throughput, and the full graphics feature set. The MI300A wins exclusively on memory capacity, memory bandwidth, and texture rate. A buyer needing a graphics card has one option; a buyer needing an enormous memory pool for data-heavy compute has the other.