AMD Radeon RX 7400 OEM vs NVIDIA RTX 5000 Embedded Ada Generation Comparison

Where Each One Wins

The recorded data splits these two GPUs into distinct use cases based on their physical and architectural profiles. The AMD Radeon RX 7400 OEM is a compact, low-power desktop solution. Its single-slot design, 55 W TDP, and 6-pin power connector position it for small-form-factor builds or systems where space and thermal headroom are constrained. Its 8 GB GDDR6 memory on a 128-bit bus delivers 172.8 GB/s of bandwidth, which is adequate for 1080p-class workloads but not for high-resolution texture-heavy scenarios.

The NVIDIA RTX 5000 Embedded Ada Generation targets a completely different environment. Its IGP slot width and "Portable Device Dependent" display outputs indicate it is designed for integration into mobile or embedded systems where the GPU is soldered or mounted directly onto a carrier board. The 120 W TDP and lack of power connectors suggest power delivery is handled by the host system. With 16 GB GDDR6 on a 256-bit bus, it provides 576.0 GB/s of bandwidth, 3.3 times the AMD part's bandwidth. This makes it the clear choice for memory-intensive embedded applications such as edge AI inference, medical imaging, or industrial vision systems.

In raw compute, the NVIDIA part dominates. Its 9728 shading units, 304 TMUs, and 112 ROPs dwarf the AMD's 1792 shading units, 112 TMUs, and 64 ROPs. The FP32 throughput of 32.69 TFLOPS is 4.1 times the AMD's 7.885 TFLOPS. The NVIDIA card also includes 304 tensor cores and 76 RT cores, while the AMD part has 28 RT cores and no tensor core listing. For workloads that leverage tensor operations, such as deep learning inference or tensor-accelerated rendering, the NVIDIA part is the only option between these two.

The AMD card wins on integration simplicity and power efficiency per physical footprint. It uses a single 6-pin connector, fits a single slot, and has a 167 mm length. The NVIDIA part has no length specification, no power connector, and occupies an IGP form factor, which means it is not user-serviceable in the conventional sense. For a system builder needing a drop-in desktop GPU, the AMD part is the practical choice. For an embedded system designer integrating a GPU onto a board, the NVIDIA part is the functional choice.

Architecture Differences

The two GPUs come from different architectural generations and manufacturing processes. The AMD Radeon RX 7400 OEM is built on RDNA 3.0, using the Navi 33 chip with the codename "Hotpink Bonefish." It is fabricated on TSMC's 6 nm process with 13,300 million transistors on a 204 mm² die, yielding a transistor density of 65.2 million transistors per square millimeter. It is part of the Navi III (RX 7000) generation and succeeds the Navi II predecessor.

The NVIDIA RTX 5000 Embedded Ada Generation uses the Ada Lovelace architecture with the AD103 chip. It is manufactured on TSMC's 5 nm process with 45,900 million transistors on a 379 mm² die, giving a transistor density of 121.1 million transistors per square millimeter. It belongs to the GeForce 50-series and the Ada-MW generation, succeeding Ampere-MW and preceding Blackwell-MW.

The clock behavior differs sharply. The AMD card has a base clock of 330 MHz and a boost clock of 1100 MHz, with memory clocked at 1350 MHz (10.8 Gbps effective). The NVIDIA part runs a base clock of 930 MHz and a boost clock of 1680 MHz, with memory at 2250 MHz (18 Gbps effective). The NVIDIA boost clock is 580 MHz higher, and its memory clock is 900 MHz higher in base terms.

Memory configuration diverges in size and bandwidth. The AMD card uses 8 GB GDDR6 on a 128-bit bus, achieving 172.8 GB/s. The NVIDIA part uses 16 GB GDDR6 on a 256-bit bus, achieving 576.0 GB/s. The bus width doubling and memory clock increase combine for the 3.3x bandwidth advantage. The NVIDIA part also has double the memory capacity, which is critical for datasets or models that exceed 8 GB.

Compute resource counts show a wide gap. The AMD card has 1792 shading units, 112 TMUs, 64 ROPs, and 28 RT cores. The NVIDIA part has 9728 shading units, 304 TMUs, 112 ROPs, 76 RT cores, and 304 tensor cores. The NVIDIA part has 5.4x the shading units, 2.7x the TMUs, 1.75x the ROPs, and 2.7x the RT cores. Pixel rate is 188.2 GPixel/s for NVIDIA versus 70.40 GPixel/s for AMD, a 2.7x difference. Texture rate is 510.7 GTexel/s versus 123.2 GTexel/s, a 4.1x difference.

API support is identical for both: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The bus interface differs, with AMD using PCIe 4.0 x8 and NVIDIA using PCIe 4.0 x16. The x16 interface provides double the bidirectional bandwidth of x8, which matters for data transfers in embedded or compute contexts.

Head-to-Head Benchmarks

The database contains no recorded benchmark scores for either GPU, and no head-to-head benchmark entries exist in the recorded data. The wins tally shows zero for both parts. Without measured frame rates, render times, or compute scores, the analysis must rely entirely on the specified hardware parameters and derived performance indicators.

The FP32 throughput difference is the most concrete performance metric available. The NVIDIA part delivers 32.69 TFLOPS, which is 4.1 times the AMD's 7.885 TFLOPS. The FP16 throughput is identical to FP32 for both parts, listed as 1:1, so the same ratio applies. This indicates the NVIDIA part is the stronger compute engine for general math, physics, and rendering workloads that scale with shader count.

Memory bandwidth is the second clear differentiator. The NVIDIA part's 576.0 GB/s versus the AMD's 172.8 GB/s means the NVIDIA part can feed its larger shader array more effectively. The ratio of bandwidth to FP32 throughput is 576.0 / 32.69 = 17.6 bytes per FLOP for NVIDIA, versus 172.8 / 7.885 = 21.9 bytes per FLOP for AMD. The AMD part actually has a higher bandwidth-per-FLOP ratio, suggesting it is less compute-bound relative to its memory subsystem. However, the absolute bandwidth deficit remains a bottleneck for large data sets.

Pixel rate favors NVIDIA at 188.2 GPixel/s versus 70.40 GPixel/s, a 2.7x advantage. This affects fill-rate-bound scenarios such as high-resolution rendering with heavy overdraw. Texture rate favors NVIDIA at 510.7 GTexel/s versus 123.2 GTexel/s, a 4.1x advantage, which impacts texturing-heavy workloads like detailed surface shading.

The RT core count of 76 versus 28 gives NVIDIA a 2.7x advantage in ray tracing hardware. The tensor core count of 304 with no equivalent on the AMD side means NVIDIA is the only part with dedicated AI acceleration hardware. Any workload using DLSS, TensorRT, or similar tensor-optimized libraries will only run on the NVIDIA part.

The AMD part's clock behavior is unusual. Its base clock of 330 MHz is very low, but its boost clock of 1100 MHz is also low compared to modern desktop GPUs. The NVIDIA part's base clock of 930 MHz and boost of 1680 MHz are more conventional. The low clocks on the AMD part may be a power-saving measure for the 55 W TDP, but they constrain peak throughput.

The Verdict

The data shows two GPUs with no overlapping use cases. The AMD Radeon RX 7400 OEM is a desktop-oriented, single-slot, low-power card. Its 55 W TDP, 167 mm length, and 6-pin connector make it suitable for compact desktop builds where a discrete GPU is needed but power and space are limited. Its 8 GB memory and 172.8 GB/s bandwidth handle standard 1080p gaming and general desktop acceleration. The 28 RT cores provide entry-level ray tracing support.

The NVIDIA RTX 5000 Embedded Ada Generation is an embedded or mobile solution. Its IGP form factor, lack of power connectors, and portable-device-dependent display outputs indicate it is meant for board-level integration. Its 16 GB memory, 576.0 GB/s bandwidth, 304 tensor cores, and 76 RT cores position it for professional embedded workloads such as AI inference, advanced visualization, and compute-intensive signal processing. The 120 W TDP is higher but still manageable in embedded thermal designs.

For a system builder selecting a retail GPU, the AMD part is the only direct choice, as the NVIDIA part is not a conventional add-in card. For an embedded systems engineer, the NVIDIA part is the only viable option because the AMD part lacks tensor cores and has a fraction of the memory bandwidth and capacity. Neither part wins in the other's domain. The percentile rank for both GPUs against all GPUs is 50, indicating they sit at the median of the database's GPU distribution, but that median masks the functional divergence.

The release dates differ, with the AMD card released on 2025-08-07 and the NVIDIA part released on 2023-03-20. The NVIDIA part is marked as Active in production status, while the AMD part's production status is not recorded. The NVIDIA part is a more mature product with an established production workflow. Neither has a recorded launch MSRP, so no price comparison is possible from the data.

FAQ

Q: Which GPU has more memory?

A: The NVIDIA RTX 5000 Embedded Ada Generation has 16 GB GDDR6, while the AMD Radeon RX 7400 OEM has 8 GB GDDR6.

Q: What is the memory bandwidth difference?

A: The NVIDIA part provides 576.0 GB/s over a 256-bit bus, while the AMD part provides 172.8 GB/s over a 128-bit bus.

Q: Does either GPU support ray tracing?

A: Both support ray tracing. The NVIDIA part has 76 RT cores, while the AMD part has 28 RT cores.

Q: Which GPU has tensor cores?

A: Only the NVIDIA RTX 5000 Embedded Ada Generation has tensor cores, with 304 available. The AMD part lists no tensor core count.

Q: What is the power requirement for each?

A: The AMD part has a 55 W TDP and requires a 6-pin power connector, with a suggested 250 W PSU. The NVIDIA part has a 120 W TDP and requires no power connectors.

Q: Are these GPUs compatible with the same APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: Which GPU has a higher FP32 compute throughput?

A: The NVIDIA part delivers 32.69 TFLOPS, which is 4.1 times the AMD part's 7.885 TFLOPS.