NVIDIA H20 NVL16 vs NVIDIA RTX 3500 Embedded Ada Generation Comparison

Head-to-Head Benchmarks

The recorded database contains no direct head-to-head benchmark scores for the NVIDIA H20 NVL16 versus the NVIDIA RTX 3500 Embedded Ada Generation. Both entries report an average benchmark score of 0 and a percentile rank of 50 against all GPUs, with no individual benchmark results listed. This means the comparison must rest entirely on the specification sheets and architectural data provided.

The H20 NVL16 delivers FP32 compute at 39.54 TFLOPS, while the RTX 3500 Embedded Ada reaches 23.04 TFLOPS. That places the H20 roughly 1.7 times ahead in raw single-precision throughput. In FP16, the gap widens substantially: the H20 produces 79.07 TFLOPS (2:1 ratio), whereas the RTX 3500 delivers 23.04 TFLOPS (1:1 ratio). The H20 therefore offers about 3.4 times the FP16 performance, a decisive margin for workloads that rely on reduced-precision arithmetic.

Memory bandwidth tells a similar story. The H20 has 4.03 TB/s of bandwidth, compared to 432.0 GB/s for the RTX 3500. That is roughly 9.3 times more bandwidth, reflecting the HBM3 versus GDDR6 memory architecture difference. The H20 also carries 96 GB of memory versus 12 GB, an 8-fold capacity advantage. Pixel rate favors the RTX 3500, however: 144.0 GPixel/s versus 47.52 GPixel/s, meaning the smaller Ada chip is roughly 3 times faster at rasterizing pixels. Texture rate goes the other way, with the H20 achieving 617.8 GTexel/s versus 360.0 GTexel/s, a 1.7 times advantage.

Clock speeds differ meaningfully. The RTX 3500 boosts to 2250 MHz, while the H20 boosts to 1980 MHz. Base clocks are 1725 MHz for the RTX 3500 and 1830 MHz for the H20. The RTX 3500's higher boost clock helps explain its pixel-rate lead despite having fewer ROPs (64 versus 24). The H20 counters with more shading units (9984 versus 5120), more TMUs (312 versus 160), and more tensor cores (312 versus 160).

Architecture Differences

Both GPUs use a 5 nm process node manufactured by TSMC, but the underlying architectures diverge completely. The H20 NVL16 is built on the Hopper architecture with the GH100 chip, part of the Server Hopper (Hxx) generation. The RTX 3500 Embedded Ada uses the Ada Lovelace architecture with the AD104 chip, listed under the Ada-MW generation. The H20's transistor count is 80,000 million across an 814 mm² die, while the RTX 3500 packs 35,800 million transistors into a 294 mm² die. Transistor density favors the Ada chip: 121.8M per mm² versus 98.3M per mm², indicating a more compact logic layout.

The H20 uses 96 GB of HBM3 memory on a 6144-bit bus, enabling 4.03 TB/s bandwidth. The RTX 3500 uses 12 GB of GDDR6 on a 192-bit bus, yielding 432.0 GB/s. Memory clock rates also differ: the H20 runs at 1313 MHz (5.3 Gbps effective), while the RTX 3500 runs at 2250 MHz (18 Gbps effective). The RTX 3500's higher effective data rate per pin does not compensate for the much narrower bus.

Ray tracing hardware exists only on the RTX 3500, which includes 40 RT cores. The H20 lists no RT core count, consistent with a server-focused compute part. Tensor cores are present on both: 312 on the H20 and 160 on the RTX 3500. The H20's FP16 throughput reaches 79.07 TFLOPS with a 2:1 ratio, whereas the RTX 3500's FP16 equals its FP32 at 23.04 TFLOPS with a 1:1 ratio, indicating different tensor core implementations.

API support separates the two as well. The RTX 3500 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The H20 lists N/A for all three APIs, reinforcing its role as a compute-only accelerator with no graphics pipeline. Display outputs are absent on both cards.

Power and physical design differ sharply. The H20 is an SXM module with a 400 W TDP and a suggested PSU of 800 W. The RTX 3500 is an IGP (integrated graphics processor) with a 100 W TDP and a suggested PSU of 300 W. The H20 uses PCIe 5.0 x16, while the RTX 3500 uses PCIe 4.0 x16. Neither card has power connectors listed for the RTX 3500, and the H20 lists none either.

Release dates place the RTX 3500 in March 2023 and the H20 in September 2025. The H20's predecessor is Server Ada and its successor is Server Blackwell. The RTX 3500's predecessor is Ampere-MW and its successor is Blackwell-MW. Both remain in active production.

Where Each One Wins

The H20 NVL16 dominates in compute-heavy, memory-bound server workloads. Its FP32 performance of 39.54 TFLOPS, FP16 performance of 79.07 TFLOPS, and 4.03 TB/s bandwidth make it suitable for large-scale matrix operations, AI training, and inference tasks that fit within 96 GB of HBM3. The 8-fold memory capacity advantage over the RTX 3500 allows it to hold larger models and datasets without spilling to slower storage. The 6144-bit bus width supports sustained high-throughput access to that memory, a critical factor for bandwidth-saturated kernels.

The RTX 3500 Embedded Ada wins in any scenario that requires pixel processing. Its 144.0 GPixel/s pixel rate is 3 times that of the H20, and its 64 ROPs versus 24 give it a clear edge in rasterization. The RT 40 cores provide ray tracing capability that the H20 lacks entirely. With a 100 W TDP, the RTX 3500 also fits into power-constrained embedded environments where the 400 W H20 cannot operate. The PCIe 4.0 interface, while older than the H20's PCIe 5.0, remains adequate for the RTX 3500's lower bandwidth demands.

For FP16 workloads where the H20's 2:1 ratio applies, the H20 offers 79.07 TFLOPS versus 23.04 TFLOPS on the RTX 3500. That 3.4 times advantage stems from the tensor core count (312 versus 160) and the memory subsystem. However, for FP32-only tasks, the H20's lead narrows to 1.7 times, and for pixel-heavy rendering, the RTX 3500 leads decisively.

The clock speed difference matters for latency-sensitive tasks. The RTX 3500's 2250 MHz boost clock exceeds the H20's 1980 MHz, and its higher ROP count amplifies that advantage in fill-rate-bound operations. The H20's lower base clock of 1830 MHz versus 1725 MHz suggests a different thermal design point, favoring sustained throughput over peak frequency.

The Verdict

The data indicates two fundamentally different products serving distinct purposes. The NVIDIA H20 NVL16, as a Hopper server module with 96 GB HBM3, 4.03 TB/s bandwidth, and 79.07 TFLOPS FP16, targets large-scale compute and AI infrastructure. Its 400 W TDP and SXM form factor place it in data-center racks, not embedded systems. The absence of display outputs and graphics API support confirms this orientation.

The NVIDIA RTX 3500 Embedded Ada Generation, with its 12 GB GDDR6, 144.0 GPixel/s pixel rate, and RT cores, targets embedded visualization and ray-traced rendering. Its 100 W TDP and IGP form factor allow integration into compact devices. The DirectX 12 Ultimate and Vulkan 1.4 support enable modern graphics workloads that the H20 cannot handle at all.

A user selecting between these two should base the decision on the workload's memory footprint and rendering requirements. If the task involves large neural networks, high-bandwidth tensor operations, or FP16 matrix math, the H20's 96 GB capacity and 4.03 TB/s bandwidth are unmatched by the RTX 3500. If the task involves pixel shading, ray tracing, or any graphics output, the RTX 3500 is the only option with the necessary hardware and API support.

The H20's 312 tensor cores versus 160, its 9984 shading units versus 5120, and its 617.8 GTexel/s texture rate versus 360.0 GTexel/s all point to compute superiority. The RTX 3500's 64 ROPs versus 24 and 144.0 GPixel/s versus 47.52 GPixel/s point to rendering superiority. Neither card can substitute for the other in its respective domain.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The H20 NVL16 delivers 39.54 TFLOPS, while the RTX 3500 Embedded Ada delivers 23.04 TFLOPS, making the H20 approximately 1.7 times faster in single-precision workloads.

Q: How much memory bandwidth does each card provide?

A: The H20 NVL16 provides 4.03 TB/s via HBM3 on a 6144-bit bus, while the RTX 3500 provides 432.0 GB/s via GDDR6 on a 192-bit bus.

Q: Does the H20 support ray tracing?

A: No, the H20 lists no RT cores, whereas the RTX 3500 includes 40 RT cores. The H20 also lists no DirectX, OpenGL, or Vulkan support.

Q: What are the power requirements of each card?

A: The H20 NVL16 has a 400 W TDP with a suggested PSU of 800 W. The RTX 3500 has a 100 W TDP with a suggested PSU of 300 W.

Q: Which card has a higher boost clock?

A: The RTX 3500 boosts to 2250 MHz, while the H20 boosts to 1980 MHz. The H20 has a higher base clock at 1830 MHz versus 1725 MHz.

Q: What is the memory capacity difference?

A: The H20 NVL16 has 96 GB of HBM3, while the RTX 3500 has 12 GB of GDDR6, an 8-fold difference in capacity.

Specification Differences

| Field | NVIDIA H20 NVL16 | NVIDIA RTX 3500 Embedded Ada Generation |

|-------|-------------------|------------------------------------------|

| Chip | GH100 | AD104 |

| Architecture | Hopper | Ada Lovelace |

| Generation | Server Hopper (Hxx) | Ada-MW |

| Transistors | 80,000 million | 35,800 million |

| Die Size | 814 mm² | 294 mm² |

| Transistor Density | 98.3M / mm² | 121.8M / mm² |

| Base Clock | 1830 MHz | 1725 MHz |

| Boost Clock | 1980 MHz | 2250 MHz |

| Memory Clock | 1313 MHz 5.3 Gbps effective | 2250 MHz 18 Gbps effective |

| Memory Size | 96 GB | 12 GB |

| Memory Type | HBM3 | GDDR6 |

| Memory Bus Width | 6144 bit | 192 bit |

| Memory Bandwidth | 4.03 TB/s | 432.0 GB/s |

| Shading Units | 9984 | 5120 |

| TMUs | 312 | 160 |

| ROPs | 24 | 64 |

| RT Cores | N/A | 40 |

| Tensor Cores | 312 | 160 |

| Pixel Rate | 47.52 GPixel/s | 144.0 GPixel/s |

| Texture Rate | 617.8 GTexel/s | 360.0 GTexel/s |

| FP32 | 39.54 TFLOPS | 23.04 TFLOPS |

| FP16 | 79.07 TFLOPS (2:1) | 23.04 TFLOPS (1:1) |

| TDP | 400 W | 100 W |

| Slot Width | SXM Module | IGP |

| Suggested PSU | 800 W | 300 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x16 |

| DirectX | N/A | 12 Ultimate (12_2) |

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Release Date | 2025-09-01 | 2023-03-20 |

| Predecessor | Server Ada | Ampere-MW |

| Successor | Server Blackwell | Blackwell-MW |