NVIDIA H20 NVL16 vs NVIDIA RTX 4000 SFF Ada Generation Comparison

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark comparisons between the NVIDIA H20 NVL16 and the NVIDIA RTX 4000 SFF Ada Generation. The H20 NVL16 has no recorded benchmark scores, an average benchmark score of 0, and a percentile rank of 50 among all GPUs. The RTX 4000 SFF Ada Generation, by contrast, has two recorded benchmark results: a Geekbench OpenCL score of 124,812 and a Geekbench Vulkan score of 109,364. Its average benchmark score is 117,088, placing it in the 95th percentile of all GPUs.

Because no direct comparison data exists, the head-to-head analysis relies on the recorded specifications and the RTX 4000 SFF's nearest rival results. The RTX 4000 SFF Ada Generation sits within a tight competitive cluster. Its average score of 117,088 is 0.3% below the NVIDIA GB10 (117,393), 1.6% below the AMD Radeon PRO W7700 (118,976), 2.4% above the NVIDIA Tesla V100 SXM2 16 GB (114,395), and 2.8% above the NVIDIA RTX A5500 Mobile (113,944). This indicates the RTX 4000 SFF delivers performance nearly identical to its closest rivals, with a slight edge over the older Tesla V100 and the mobile A5500.

The H20 NVL16's lack of any benchmark entries means its compute capabilities cannot be quantified from the recorded data. Its theoretical peak figures, however, are substantially higher: FP32 throughput of 39.54 TFLOPS versus 19.17 TFLOPS for the RTX 4000 SFF. The FP16 figures diverge even further, with the H20 delivering 79.07 TFLOPS (2:1) compared to the RTX 4000 SFF's 19.17 TFLOPS (1:1). These are raw specification differences, not measured results, and they indicate different design priorities rather than directly comparable performance in any specific workload.

FAQ

Q: Does the NVIDIA H20 NVL16 have any benchmark scores in the database?

A: No. The H20 NVL16 has an empty benchmarks array, an average benchmark score of 0, and a percentile rank of 50, meaning it cannot be positioned against other GPUs using measured performance data.

Q: What benchmark results exist for the NVIDIA RTX 4000 SFF Ada Generation?

A: Two results are recorded: a Geekbench OpenCL score of 124,812 and a Geekbench Vulkan score of 109,364, producing an average of 117,088.

Q: How does the RTX 4000 SFF Ada Generation compare to its nearest rivals?

A: It is 0.3% behind the NVIDIA GB10, 1.6% behind the AMD Radeon PRO W7700, 2.4% ahead of the NVIDIA Tesla V100 SXM2 16 GB, and 2.8% ahead of the NVIDIA RTX A5500 Mobile.

Q: Which GPU has higher FP32 throughput according to the specifications?

A: The H20 NVL16 lists FP32 at 39.54 TFLOPS, more than double the RTX 4000 SFF's 19.17 TFLOPS.

Q: What are the memory capacities of these two GPUs?

A: The H20 NVL16 has 96 GB of HBM3 memory with a 6144-bit bus and 4.03 TB/s bandwidth. The RTX 4000 SFF has 20 GB of GDDR6 memory with a 160-bit bus and 280.0 GB/s bandwidth.

Q: Which GPU supports display outputs?

A: The RTX 4000 SFF Ada Generation has 4x mini-DisplayPort 1.4a outputs. The H20 NVL16 has no display outputs.

Architecture Differences

The two GPUs represent fundamentally different NVIDIA architectures. The H20 NVL16 uses the GH100 chip based on the Hopper architecture, built for the Server Hopper (Hxx) generation. The RTX 4000 SFF Ada Generation uses the AD104 chip based on Ada Lovelace, belonging to the Workstation Ada generation. Both are fabricated by TSMC on a 5 nm process, but the dies differ considerably. The H20's GH100 die measures 814 mm² and contains 80,000 million transistors, yielding a transistor density of 98.3 million per mm². The RTX 4000 SFF's AD104 die measures 294 mm² with 35,800 million transistors, giving a higher density of 121.8 million per mm².

The compute resources diverge sharply. The H20 NVL16 contains 9,984 shading units, 312 texture mapping units, and only 24 raster operation units. It has 312 tensor cores but no listed ray tracing cores. The RTX 4000 SFF contains 6,144 shading units, 192 TMUs, and 64 ROPs. It has 192 tensor cores and 48 dedicated ray tracing cores. This structural difference explains the pixel and texture rates: the RTX 4000 SFF delivers 99.84 GPixel/s versus 47.52 GPixel/s for the H20, while the H20 counters with 617.8 GTexel/s versus 299.5 GTexel/s.

Memory architecture is equally distinct. The H20 uses HBM3 with 96 GB capacity across a 6144-bit bus, achieving 4.03 TB/s bandwidth. The RTX 4000 SFF uses GDDR6 with 20 GB on a 160-bit bus, achieving 280.0 GB/s. The H20's memory clock is listed as 1313 MHz (5.3 Gbps effective), while the RTX 4000 SFF runs at 1750 MHz (14 Gbps effective). The H20 operates as an SXM Module with a 400 W TDP and requires an 800 W suggested PSU. The RTX 4000 SFF is a dual-slot card with a 70 W TDP, no power connectors, and a 250 W suggested PSU. The H20 uses PCIe 5.0 x16 while the RTX 4000 SFF uses PCIe 4.0 x16.

API support also separates them. The RTX 4000 SFF supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The H20 lists all APIs as N/A, consistent with its lack of display outputs and server-oriented design. Physical dimensions differ as well: the RTX 4000 SFF measures 168 mm in length and 69 mm in height, while the H20's dimensions are not recorded.

The Verdict

The recorded data leads to a clear division of roles. The NVIDIA H20 NVL16 is a server accelerator with massive memory capacity (96 GB), high bandwidth (4.03 TB/s), and high theoretical compute (39.54 TFLOPS FP32, 79.07 TFLOPS FP16). Its 400 W TDP, SXM Module form factor, and lack of display outputs or API support confirm a data center orientation. It has no benchmark scores, so its real-world performance cannot be verified from the database.

The NVIDIA RTX 4000 SFF Ada Generation is a workstation GPU with measured performance in the 95th percentile. Its average benchmark score of 117,088 places it within 1.6% of the AMD Radeon PRO W7700 and within 0.3% of the NVIDIA GB10. It offers 20 GB of GDDR6 memory, 48 ray tracing cores, full API support, and four display outputs. Its 70 W TDP and compact dimensions (168 mm length, 69 mm height) suit small-form-factor workstations.

For workloads requiring massive memory capacity, high memory bandwidth, or FP16 throughput, the H20 NVL16's specifications point to it as the appropriate choice. For measured compute performance, graphics API support, display output, or low power consumption, the RTX 4000 SFF is the only option with recorded data. The H20's lack of benchmark entries means no measured comparison is possible; the verdict rests on specification analysis and the RTX 4000 SFF's verified results.

Specification Differences

| Specification | NVIDIA H20 NVL16 | NVIDIA RTX 4000 SFF Ada Generation |

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

| Architecture | Hopper | Ada Lovelace |

| Generation | Server Hopper (Hxx) | Workstation Ada |

| Chip | GH100 | AD104 |

| Process Node | 5 nm | 5 nm |

| 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 | 720 MHz |

| Boost Clock | 1980 MHz | 1560 MHz |

| Memory Size | 96 GB | 20 GB |

| Memory Type | HBM3 | GDDR6 |

| Memory Bus Width | 6144 bit | 160 bit |

| Memory Bandwidth | 4.03 TB/s | 280.0 GB/s |

| Shading Units | 9984 | 6144 |

| TMUs | 312 | 192 |

| ROPs | 24 | 64 |

| Tensor Cores | 312 | 192 |

| RT Cores | Not listed | 48 |

| FP32 | 39.54 TFLOPS | 19.17 TFLOPS |

| FP16 | 79.07 TFLOPS (2:1) | 19.17 TFLOPS (1:1) |

| Pixel Rate | 47.52 GPixel/s | 99.84 GPixel/s |

| Texture Rate | 617.8 GTexel/s | 299.5 GTexel/s |

| TDP | 400 W | 70 W |

| Slot Width | SXM Module | Dual-slot |

| Power Connectors | Not listed | None |

| Suggested PSU | 800 W | 250 W |

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

| Display Outputs | No outputs | 4x mini-DisplayPort 1.4a |

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

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Dimensions | Not recorded | 168 mm length, 69 mm height |

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

| Predecessor | Server Ada | Workstation Ampere |

| Successor | Server Blackwell | Blackwell PRO W |

Where Each One Wins

The H20 NVL16 wins on raw compute capacity. Its FP32 throughput of 39.54 TFLOPS doubles the RTX 4000 SFF's 19.17 TFLOPS. Its FP16 throughput of 79.07 TFLOPS quadruples the RTX 4000 SFF's 19.17 TFLOPS. Memory capacity favors the H20 by a factor of nearly five (96 GB versus 20 GB), and memory bandwidth favors it by a factor of over fourteen (4.03 TB/s versus 280.0 GB/s). Texture rate also favors the H20 at 617.8 GTexel/s versus 299.5 GTexel/s. These figures point to large-scale compute, AI training, or inference workloads where memory capacity and FP16 throughput dominate.

The RTX 4000 SFF Ada Generation wins on measured performance, power efficiency, graphics features, and physical flexibility. Its recorded benchmark scores (124,812 OpenCL, 109,364 Vulkan) place it in the 95th percentile, while the H20 has no scores. Pixel rate favors the RTX 4000 SFF at 99.84 GPixel/s versus 47.52 GPixel/s. Its TDP of 70 W is less than one-fifth of the H20's 400 W, and its suggested PSU of 250 W is less than one-third of the H20's 800 W requirement. The RTX 4000 SFF supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the H20 supports none. The RTX 4000 SFF provides four mini-DisplayPort outputs, enabling direct display connection, whereas the H20 has none. Its PCIe 4.0 interface and compact dimensions (168 mm length, 69 mm height) allow installation in standard workstation chassis, while the H20's SXM Module form factor requires a server platform.

The RTX 4000 SFF also holds a transistor density advantage (121.8M / mm² versus 98.3M / mm²), indicating a more efficient use of silicon area for its smaller die. Its higher ROP count (64 versus 24) and dedicated ray tracing cores (48 versus none listed) further support graphics-centric workloads. The RTX 4000 SFF's release date of 2023-03-20 also precedes the H20's 2025-09-01 release, giving it a longer recorded production history.