NVIDIA GeForce RTX 5090 SE vs NVIDIA RTX 3500 Embedded Ada Generation Comparison

# NVIDIA GeForce RTX 5090 SE vs NVIDIA RTX 3500 Embedded Ada Generation

The NVIDIA GeForce RTX 5090 SE and the NVIDIA RTX 3500 Embedded Ada Generation occupy different corners of the GPU spectrum, despite sharing the same manufacturer and foundry. The RTX 5090 SE is a desktop-oriented Blackwell 2.0 part built on the GB202 chip, while the RTX 3500 Embedded Ada Generation is a low-power, integrated mobile solution based on the AD104 chip with Ada Lovelace architecture. The database records no direct head-to-head benchmark results between the two, and both hold a 50th percentile ranking among all GPUs, with average benchmark scores of zero in the current dataset. However, the specification sheets reveal stark differences in compute capacity, memory configuration, power envelope, and physical design that define their respective roles.

Where Each One Wins

The RTX 5090 SE wins decisively in raw compute throughput. Its FP32 performance of 66.94 TFLOPS is nearly three times the 23.04 TFLOPS delivered by the RTX 3500 Embedded Ada Generation. This advantage extends to texture and pixel processing: the RTX 5090 SE achieves 1,045.9 GTexel/s and 380.3 GPixel/s, while the embedded part manages 360.0 GTexel/s and 144.0 GPixel/s respectively. For workloads that stress shading units, texture mapping, or rasterization, the RTX 5090 SE is the clear leader, with 14,080 shading units, 440 TMUs, and 160 ROPs compared to 5,120 shading units, 160 TMUs, and 64 ROPs on the RTX 3500 Embedded.

Memory bandwidth is another area where the RTX 5090 SE dominates. It uses 24 GB of GDDR7 across a 384-bit bus, yielding 1.34 TB/s of bandwidth. The RTX 3500 Embedded Ada Generation has 12 GB of GDDR6 on a 192-bit bus, providing 432.0 GB/s. That is a 3.1x gap in raw memory throughput, which directly impacts large dataset operations, high-resolution textures, and compute workloads that frequently access VRAM.

The RTX 3500 Embedded Ada Generation wins in power efficiency and physical integration. Its 100 W TDP is one-fifth of the RTX 5090 SE's 500 W TDP. The embedded part requires no power connectors and is designed as an IGP (integrated graphics processor), with no display outputs. It also runs on PCIe 4.0 x16, while the RTX 5090 SE uses PCIe 5.0 x16. The embedded GPU's suggested PSU is 300 W, versus 900 W for the RTX 5090 SE. For systems constrained by thermal limits, battery life, or physical space, the RTX 3500 Embedded Ada Generation is the only viable choice from these two.

The Verdict

The data indicates that the RTX 5090 SE is built for maximum performance in desktop workstations or gaming rigs where power and space are not limiting factors. Its 500 W TDP, dual-slot design, 267 mm length, and 900 W suggested PSU demand a substantial chassis and power supply. With 110 RT cores and 440 tensor cores, it is positioned for ray tracing and AI-accelerated workloads. Its 24 GB GDDR7 memory and 1.34 TB/s bandwidth suit high-end content creation, large model inference, and 4K or 8K rendering.

The RTX 3500 Embedded Ada Generation targets embedded systems, compact devices, and mobile platforms. Its 100 W TDP, IGP form factor, and lack of display outputs mean it is meant to be integrated into a host system rather than installed as a discrete card. It has 40 RT cores and 160 tensor cores, which are modest but still provide hardware acceleration for ray tracing and tensor operations. Its 12 GB GDDR6 memory with 432.0 GB/s bandwidth is sufficient for embedded inference, industrial visualization, or edge computing tasks.

Neither GPU is a substitute for the other. The RTX 5090 SE cannot fit into the power or thermal envelope of an embedded device, and the RTX 3500 Embedded Ada Generation cannot deliver the compute throughput needed for high-end desktop workloads. The choice depends entirely on the system constraint: desktop performance versus embedded efficiency.

Head-to-Head Benchmarks

The database contains no recorded head-to-head benchmark results between the RTX 5090 SE and the RTX 3500 Embedded Ada Generation. The winsA and winsB fields are both zero, and the headToHeadBenchmarks array is empty. Therefore, direct performance comparisons must be derived from the specification data.

The largest absolute advantage for the RTX 5090 SE is in FP32 compute. At 66.94 TFLOPS versus 23.04 TFLOPS, the RTX 5090 SE delivers 2.9x the floating-point throughput. This scales roughly with shader count: 14,080 versus 5,120 shading units is a 2.75x difference, so the compute advantage is proportional to the hardware resources.

Memory bandwidth shows the widest relative gap. The RTX 5090 SE's 1.34 TB/s is 3.1x the RTX 3500 Embedded's 432.0 GB/s. This disparity is larger than the compute gap, meaning memory-bound workloads would see even greater performance separation than compute-bound tasks.

Texture rate follows a similar pattern: 1,045.9 GTexel/s versus 360.0 GTexel/s is a 2.9x difference. Pixel rate is 380.3 GPixel/s versus 144.0 GPixel/s, a 2.6x difference. These ratios are consistent, indicating the RTX 5090 SE scales across all major processing units without bottlenecks relative to the embedded part.

Clock speeds are close: the RTX 5090 SE has a base clock of 1740 MHz and boost of 2377 MHz, while the RTX 3500 Embedded Ada Generation has a base of 1725 MHz and boost of 2250 MHz. The RTX 5090 SE's boost is 127 MHz higher, but this is a minor factor compared to the massive differences in core counts and memory configuration.

Power efficiency flips the comparison. The RTX 3500 Embedded Ada Generation delivers 23.04 TFLOPS at 100 W, which is 0.2304 TFLOPS per watt. The RTX 5090 SE delivers 66.94 TFLOPS at 500 W, which is 0.1339 TFLOPS per watt. The embedded part is 1.7x more efficient in FP32 per watt, based on these recorded figures.

FAQ

Q: Which GPU has more memory?

A: The RTX 5090 SE has 24 GB of GDDR7 memory, while the RTX 3500 Embedded Ada Generation has 12 GB of GDDR6.

Q: What is the memory bandwidth difference?

A: The RTX 5090 SE provides 1.34 TB/s on a 384-bit bus, and the RTX 3500 Embedded Ada Generation provides 432.0 GB/s on a 192-bit bus.

Q: How do their power requirements compare?

A: The RTX 5090 SE has a 500 W TDP and a 900 W suggested PSU, while the RTX 3500 Embedded Ada Generation has a 100 W TDP and a 300 W suggested PSU.

Q: Do both GPUs support the same APIs?

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

Q: What are the physical form factor differences?

A: The RTX 5090 SE is a dual-slot card measuring 267 mm by 111 mm by 40 mm, with a 1x 16-pin power connector. The RTX 3500 Embedded Ada Generation is an IGP with no power connectors and no physical dimensions recorded.

Q: Which GPU has more RT and tensor cores?

A: The RTX 5090 SE has 110 RT cores and 440 tensor cores, while the RTX 3500 Embedded Ada Generation has 40 RT cores and 160 tensor cores.

Architecture Differences

The RTX 5090 SE uses the GB202 chip based on Blackwell 2.0 architecture, fabricated on a 5 nm process at TSMC. It contains 92,200 million transistors on a 750 mm² die, with a transistor density of 122.9M per mm². The RTX 3500 Embedded Ada Generation uses the AD104 chip based on Ada Lovelace architecture, also fabricated on a 5 nm process at TSMC. It contains 35,800 million transistors on a 294 mm² die, with a transistor density of 121.8M per mm². The transistor densities are nearly identical, confirming that both use the same process node generation, but the RTX 5090 SE's die is 2.55x larger and packs 2.58x more transistors.

The RTX 5090 SE is part of the GeForce 50-series generation, while the RTX 3500 Embedded Ada Generation belongs to the Ada-MW generation. The former's predecessor is the GeForce 40 series and its successor is the GeForce 60 series. The latter's predecessor is Ampere-MW and its successor is Blackwell-MW. These generational placements indicate distinct product lines: one for consumer desktop graphics, the other for embedded and mobile applications.

The RTX 5090 SE is a discrete GPU with PCIe 5.0 x16 interface and display outputs including 1x HDMI 2.1b and 3x DisplayPort 2.1b. The RTX 3500 Embedded Ada Generation uses PCIe 4.0 x16 and has no display outputs, confirming its role as a co-processor or integrated solution within a larger system.

Specification Differences

The two GPUs differ across nearly every specification field. The RTX 5090 SE uses GDDR7 memory at 1750 MHz with 28 Gbps effective speed, while the RTX 3500 Embedded Ada Generation uses GDDR6 at 2250 MHz with 18 Gbps effective speed. The RTX 5090 SE's memory bus is 384 bit versus 192 bit, and its bandwidth is 1.34 TB/s versus 432.0 GB/s.

Shading units are 14,080 for the RTX 5090 SE versus 5,120 for the RTX 3500 Embedded Ada Generation. TMUs are 440 versus 160, ROPs are 160 versus 64, RT cores are 110 versus 40, and tensor cores are 440 versus 160. Pixel rate is 380.3 GPixel/s versus 144.0 GPixel/s, and texture rate is 1,045.9 GTexel/s versus 360.0 GTexel/s. FP32 and FP16 are both 66.94 TFLOPS for the RTX 5090 SE and 23.04 TFLOPS for the RTX 3500 Embedded Ada Generation, with 1:1 ratios on both.

The RTX 5090 SE has a base clock of 1740 MHz and boost of 2377 MHz, slightly higher than the RTX 3500 Embedded's 1725 MHz base and 2250 MHz boost. The RTX 5090 SE has a 500 W TDP, dual-slot width, 1x 16-pin power connector, and 900 W suggested PSU. The RTX 3500 Embedded Ada Generation has a 100 W TDP, IGP slot width, no power connectors, and 300 W suggested PSU. The RTX 5090 SE measures 267 mm by 111 mm by 40 mm; the RTX 3500 Embedded has no recorded dimensions. The RTX 5090 SE was released later, with a launch MSRP of 1,499 USD, while the RTX 3500 Embedded Ada Generation has no launch MSRP recorded. Both share the same 5 nm TSMC process, DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 API support.