NVIDIA H20 vs NVIDIA RTX 4000 SFF Ada Generation Comparison

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between the NVIDIA H20 and the NVIDIA RTX 4000 SFF Ada Generation. However, the RTX 4000 SFF Ada has recorded standalone benchmark scores, while the H20 has no benchmark entries in the database. This asymmetry means a direct numerical comparison of compute performance cannot be established from the recorded data.

The RTX 4000 SFF Ada Generation delivers a Geekbench OpenCL score of 124812 and a Geekbench Vulkan score of 109364. Its average benchmark score across all recorded tests is 117088. This places the card at the 95th percentile among all GPUs in the database, indicating it outperforms the vast majority of tracked graphics cards. Its nearest rival, the NVIDIA GB10, scores 117393, which is 0.3% higher. The AMD Radeon PRO W7700 scores 118976, a 1.6% advantage, while the NVIDIA Tesla V100 SXM2 16 GB trails by 2.4% with a score of 114395. The NVIDIA RTX A5500 Mobile scores 113944, sitting 2.8% behind.

The H20, by contrast, has an average benchmark score of 0 and sits at the 50th percentile, with no recorded benchmark data to substantiate its compute position. The data shows a clear disparity in measurable performance: the RTX 4000 SFF Ada Generation has concrete, verifiable scores, while the H20 lacks any such entries. For users relying on benchmark database metrics, the RTX 4000 SFF Ada Generation is the only one of the two with empirical performance evidence.

FAQ

Q: What is the average benchmark score for the RTX 4000 SFF Ada Generation?

A: The average benchmark score is 117088, derived from a Geekbench OpenCL score of 124812 and a Geekbench Vulkan score of 109364.

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

A: No, the H20 has no benchmark entries. Its average benchmark score is listed as 0, and it sits at the 50th percentile among all GPUs.

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

A: The RTX 4000 SFF Ada Generation trails the NVIDIA GB10 by 0.3% and the AMD Radeon PRO W7700 by 1.6%. It leads the NVIDIA Tesla V100 SXM2 16 GB by 2.4% and the NVIDIA RTX A5500 Mobile by 2.8%.

Q: What percentile does the RTX 4000 SFF Ada Generation occupy?

A: It sits at the 95th percentile among all GPUs in the database, meaning it outperforms 95% of tracked graphics cards.

Q: What is the memory bandwidth difference between the two cards?

A: The H20 offers 4.03 TB/s of bandwidth via HBM3 memory, while the RTX 4000 SFF Ada Generation provides 280.0 GB/s via GDDR6 memory. The H20's bandwidth is substantially higher.

Q: What are the power consumption figures for each card?

A: The H20 has a TDP of 500 W with a suggested power supply of 900 W. The RTX 4000 SFF Ada Generation has a TDP of 70 W and a suggested power supply of 250 W.

Where Each One Wins

The RTX 4000 SFF Ada Generation wins clearly in measured compute benchmarks. Its average benchmark score of 117088 and 95th percentile ranking demonstrate strong real-world performance in OpenCL and Vulkan workloads, which are common in rendering, compute, and general GPU-accelerated tasks. The card also wins decisively on power efficiency: its 70 W TDP is a fraction of the H20's 500 W, and its suggested power supply of 250 W is far lower than the H20's 900 W requirement. This makes it a practical choice for compact, low-power workstations, especially given its 168 mm length and dual-slot footprint, plus four mini-DisplayPort 1.4a outputs for direct display connectivity.

The H20 wins on sheer memory capacity and bandwidth. Its 96 GB of HBM3 memory with a 6144-bit bus and 4.03 TB/s bandwidth dwarfs the RTX 4000 SFF Ada's 20 GB GDDR6 with a 160-bit bus and 280.0 GB/s. In workloads that require massive memory footprints, such as large-scale data processing or training contexts, the H20's memory subsystem provides a clear advantage. The H20 also has higher raw compute specifications: 9984 shading units versus 6144, 312 tensor cores versus 192, and FP32 throughput of 39.54 TFLOPS versus 19.17 TFLOPS. However, these figures are not backed by benchmark scores in the database, so their practical impact remains unverified by recorded measurements.

Specification Differences

The two cards differ substantially across nearly every specification. The H20 uses a GH100 chip built on the Hopper architecture, while the RTX 4000 SFF Ada Generation uses an AD104 chip on Ada Lovelace. The H20 has 80,000 million transistors on an 814 mm² die, whereas the RTX 4000 SFF Ada Generation has 35,800 million transistors on a 294 mm² die. Transistor density favors the RTX 4000 SFF Ada at 121.8M per mm² versus 98.3M per mm² for the H20.

Clock speeds differ significantly. The H20 runs at a base clock of 1830 MHz and a boost of 1980 MHz, while the RTX 4000 SFF Ada Generation operates at 720 MHz base and 1560 MHz boost. Memory clocks also diverge: the H20 uses 1313 MHz with 5.3 Gbps effective speed, while the RTX 4000 SFF Ada Generation uses 1750 MHz with 14 Gbps effective speed.

The shading unit count, texture mapping units, and render output units differ. The H20 has 9984 shading units, 312 TMUs, and 24 ROPs. The RTX 4000 SFF Ada Generation has 6144 shading units, 192 TMUs, and 64 ROPs. The RTX 4000 SFF Ada Generation also includes 48 dedicated ray tracing cores, while the H20 lists no RT core count. Tensor cores number 312 on the H20 and 192 on the RTX 4000 SFF Ada Generation.

Pixel and texture rates favor different cards. The H20 achieves 47.52 GPixel/s and 617.8 GTexel/s. The RTX 4000 SFF Ada Generation achieves 99.84 GPixel/s and 299.5 GTexel/s. The RTX 4000 SFF Ada Generation has a higher pixel rate, while the H20 has a higher texture rate.

Power and physical specifications diverge sharply. The H20 is a 500 W SXM module with no display outputs and no power connectors listed. The RTX 4000 SFF Ada Generation is a 70 W dual-slot card with no power connectors, measuring 168 mm in length and 69 mm in height. The H20 uses PCIe 5.0 x16, while the RTX 4000 SFF Ada Generation uses PCIe 4.0 x16. The RTX 4000 SFF Ada Generation supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4; the H20 lists N/A for all three APIs.

Architecture Differences

The H20 is built on NVIDIA's Hopper architecture, specifically the GH100 chip, and belongs to the Server Hopper (Hxx) generation. The RTX 4000 SFF Ada Generation uses the Ada Lovelace architecture with the AD104 chip, part of the Workstation Ada generation. Both are fabricated by TSMC on a 5 nm process, but the underlying designs target different use cases.

The H20's memory architecture relies on HBM3 with a 6144-bit bus, delivering 4.03 TB/s bandwidth. This is a server-class memory subsystem designed for bandwidth-intensive applications. The RTX 4000 SFF Ada Generation uses GDDR6 with a 160-bit bus and 280.0 GB/s bandwidth, a more conventional workstation configuration.

Tensor core counts differ, with the H20 carrying 312 tensor cores versus 192 on the RTX 4000 SFF Ada Generation. FP16 throughput also differs: the H20 delivers 79.07 TFLOPS at a 2:1 ratio, while the RTX 4000 SFF Ada Generation delivers 19.17 TFLOPS at a 1:1 ratio. This indicates the H20 is optimized for mixed-precision workloads where FP16 acceleration is critical.

The RTX 4000 SFF Ada Generation includes 48 ray tracing cores, a feature absent from the H20's specifications. The H20 has no display outputs, while the RTX 4000 SFF Ada Generation provides four mini-DisplayPort 1.4a outputs. The H20's API support is listed as N/A for DirectX, OpenGL, and Vulkan, whereas the RTX 4000 SFF Ada Generation supports modern graphics APIs. The H20's predecessor is Server Ada and its successor is Server Blackwell; the RTX 4000 SFF Ada Generation's predecessor is Workstation Ampere and its successor is Blackwell PRO W.

The Verdict

The data separates these two cards into distinct categories. The RTX 4000 SFF Ada Generation is the only one with measurable benchmark performance. Its average score of 117088, 95th percentile ranking, and strong OpenCL and Vulkan results make it the clear choice for workloads where verified compute performance matters. Its 70 W TDP, 250 W suggested power supply, compact 168 mm length, and display outputs suit it for workstation environments requiring low power draw and physical flexibility. Users who need graphics API support, ray tracing, or direct display connectivity should select the RTX 4000 SFF Ada Generation.

The H20 offers no benchmark data, leaving its performance unverified in the database. Its strengths lie in specifications: 96 GB of HBM3 memory, 4.03 TB/s bandwidth, 9984 shading units, and 39.54 TFLOPS FP32 throughput. These figures indicate a server-class accelerator designed for memory-heavy and high-throughput compute tasks, not for graphics output or API compatibility. Its 500 W TDP and SXM module form factor require a server infrastructure rather than a desktop workstation.

The verdict from the recorded data is straightforward. The RTX 4000 SFF Ada Generation wins on empirical performance, efficiency, and workstation practicality. The H20 wins on raw memory capacity, bandwidth, and peak compute specifications, but without benchmark confirmation. Users prioritizing verified scores and low power should choose the RTX 4000 SFF Ada Generation. Users requiring massive memory and server integration should consider the H20, but they must accept that its performance claims are not supported by database measurements.