NVIDIA H20 vs NVIDIA RTX 4000 Ada Generation Comparison

FAQ

Q: What are the architectural generations of the NVIDIA H20 and the RTX 4000 Ada Generation?

A: The NVIDIA H20 uses the Hopper architecture with the GH100 chip, while the RTX 4000 Ada Generation uses the Ada Lovelace architecture with the AD104 chip. Both are fabricated by TSMC on a 5 nm process.

Q: How do the memory configurations differ between the two cards?

A: The H20 features 96 GB of HBM3 memory on a 6144-bit bus with 4.03 TB/s bandwidth. The RTX 4000 Ada has 20 GB of GDDR6 memory on a 160-bit bus with 360.0 GB/s bandwidth.

Q: What is the difference in FP32 compute performance?

A: The H20 delivers 39.54 TFLOPS of FP32 performance, which is higher than the RTX 4000 Ada's 26.73 TFLOPS. The H20 also provides 79.07 TFLOPS for FP16 (2:1 ratio), while the RTX 4000 Ada offers 26.73 TFLOPS for FP16 (1:1 ratio).

Q: What are the power requirements for each card?

A: The H20 has a TDP of 500 W and requires a 900 W suggested PSU. The RTX 4000 Ada has a TDP of 130 W and requires a 300 W suggested PSU.

Q: Which card has dedicated ray tracing cores?

A: The RTX 4000 Ada has 48 RT cores. The H20 does not list RT core counts in the database.

Q: What are the display output capabilities?

A: The RTX 4000 Ada provides 4x DisplayPort 1.4a outputs. The H20 has no display outputs, as it is designed as an SXM module for server use.

Architecture Differences

The NVIDIA H20 is built on the Hopper architecture, using the GH100 chip, a design aimed at server and datacenter workloads. The RTX 4000 Ada Generation uses the Ada Lovelace architecture with the AD104 chip, targeting workstation graphics and compute. Both use a 5 nm TSMC process, but the transistor counts differ substantially: the H20 packs 80,000 million transistors on an 814 mm² die, while the RTX 4000 Ada has 35,800 million transistors on a 294 mm² die. Transistor density is higher on the Ada chip at 121.8M per mm² versus 98.3M per mm² for the H20.

The H20 uses HBM3 memory with a 6144-bit bus, delivering 4.03 TB/s of bandwidth, which is designed for memory-intensive server tasks. The RTX 4000 Ada uses GDDR6 with a 160-bit bus and 360.0 GB/s bandwidth, a configuration suited for workstation rendering and AI inference at the desk. The H20 has 9984 shading units, 312 TMUs, and 24 ROPs, while the RTX 4000 Ada has 6144 shading units, 192 TMUs, and 64 ROPs. The H20 has 312 tensor cores, whereas the RTX 4000 Ada has 192 tensor cores plus 48 dedicated RT cores.

Clock behavior also differs: the H20 runs at a base of 1830 MHz and boosts to 1980 MHz, while the RTX 4000 Ada has a lower base of 1500 MHz but a higher boost of 2175 MHz. The H20 is an SXM module with PCIe 5.0 x16 interface and no display outputs, while the RTX 4000 Ada is a single-slot PCIe 4.0 x16 card with 4x DisplayPort 1.4a. The RTX 4000 Ada supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the H20 reports N/A for all API support, reflecting its non-graphics server role.

The Verdict

The data indicates the NVIDIA H20 is the choice for compute-heavy server deployments where memory bandwidth and capacity dominate. Its 96 GB HBM3 pool and 4.03 TB/s bandwidth, combined with 39.54 TFLOPS FP32 and 79.07 TFLOPS FP16, position it for large-scale AI training and inference tasks that exceed the memory and throughput of workstation cards. The 500 W TDP and SXM form factor confirm it belongs in a datacenter chassis, not a desktop.

The RTX 4000 Ada Generation suits workstation users who need graphics output, ray tracing, and broad API compatibility. It delivers 26.73 TFLOPS FP32, 48 RT cores, 4x DisplayPort 1.4a outputs, and support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. Its 130 W TDP and single-slot design make it easy to integrate into professional workstations. The RTX 4000 Ada has a 95th percentile ranking among all GPUs in the database, with an average benchmark score of 135218, while the H20 has a 50th percentile ranking with no recorded benchmark scores. For a builder focused on rendering, simulation, or professional graphics, the RTX 4000 Ada is the practical pick. For a server administrator prioritizing raw memory and compute throughput, the H20 is the correct hardware.

Specification Differences

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

Memory: H20 has 96 GB HBM3 on a 6144-bit bus with 4.03 TB/s bandwidth. RTX 4000 Ada has 20 GB GDDR6 on a 160-bit bus with 360.0 GB/s bandwidth. Memory clocks: H20 runs at 1313 MHz (5.3 Gbps effective), RTX 4000 Ada at 2250 MHz (18 Gbps effective).

Compute units: H20 has 9984 shading units, 312 TMUs, 24 ROPs, and 312 tensor cores. RTX 4000 Ada has 6144 shading units, 192 TMUs, 64 ROPs, 192 tensor cores, and 48 RT cores. Pixel rate: H20 at 47.52 GPixel/s, RTX 4000 Ada at 139.2 GPixel/s. Texture rate: H20 at 617.8 GTexel/s, RTX 4000 Ada at 417.6 GTexel/s.

Clocks: H20 base 1830 MHz, boost 1980 MHz. RTX 4000 Ada base 1500 MHz, boost 2175 MHz. Power: H20 TDP 500 W, RTX 4000 Ada TDP 130 W. Suggested PSU: H20 900 W, RTX 4000 Ada 300 W.

Form factor: H20 is an SXM Module with PCIe 5.0 x16, no display outputs. RTX 4000 Ada is single-slot, PCIe 4.0 x16, with 4x DisplayPort 1.4a, and dimensions of 245 mm length and 112 mm height. Power connectors: H20 has none listed, RTX 4000 Ada uses 1x 16-pin.

API support: H20 reports N/A for DirectX, OpenGL, and Vulkan. RTX 4000 Ada supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Release dates: H20 on 2024-01-31, RTX 4000 Ada on 2023-08-08. Both are active in production. The H20's predecessor is Server Ada, successor Server Blackwell. The RTX 4000 Ada's predecessor is Workstation Ampere, successor Blackwell PRO W.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between the H20 and RTX 4000 Ada. The H20 has zero recorded benchmarks and an average benchmark score of zero, with a 50th percentile ranking. The RTX 4000 Ada, however, has two recorded benchmark scores: 146593 in Geekbench OpenCL and 123842 in Geekbench Vulkan, giving an average benchmark score of 135218 and a 95th percentile ranking.

Comparing the RTX 4000 Ada to its nearest rivals clarifies its standing. The NVIDIA A10M scores 135230, a delta of 0 percent, meaning the RTX 4000 Ada is essentially tied with it. The AMD Radeon PRO W6800 scores 135396, a delta of -0.1 percent, so the RTX 4000 Ada trails by a negligible margin. The AMD Radeon Pro W6800X Duo scores 135774, a delta of -0.4 percent, and the AMD Radeon PRO V620 scores 136472, a delta of -0.9 percent. These results show the RTX 4000 Ada sits within a narrow band of workstation cards, slightly behind the AMD competition in aggregate score but statistically close.

The H20's lack of benchmark data means no numerical comparison can be made directly. The available specification data, however, shows the H20 has higher FP32 throughput (39.54 TFLOPS versus 26.73 TFLOPS) and vastly higher memory bandwidth (4.03 TB/s versus 360.0 GB/s). The RTX 4000 Ada has a higher boost clock (2175 MHz versus 1980 MHz) and much higher pixel rate (139.2 GPixel/s versus 47.52 GPixel/s), which aligns with its graphics-oriented role.

Where Each One Wins

The NVIDIA H20 wins in scenarios that demand massive memory capacity and bandwidth. Its 96 GB HBM3 pool and 4.03 TB/s bandwidth are suited for large language model training, big-batch inference, and scientific simulations that exceed the 20 GB limit of the RTX 4000 Ada. The H20 also leads in FP32 compute (39.54 TFLOPS versus 26.73 TFLOPS) and FP16 compute (79.07 TFLOPS versus 26.73 TFLOPS), giving it an edge in mixed-precision workloads. The 312 tensor cores on the H20 outnumber the 192 on the RTX 4000 Ada, further supporting AI-focused tasks. The H20's 500 W TDP and SXM form factor indicate it is built for server racks with adequate cooling and power delivery, not for desktop use.

The RTX 4000 Ada Generation wins in workstation and graphics-centric workloads. It has 48 RT cores, enabling hardware-accelerated ray tracing, which the H20 lacks entirely. The RTX 4000 Ada provides 4x DisplayPort 1.4a outputs, making it suitable for multi-monitor professional visualization, while the H20 has no display outputs. The RTX 4000 Ada supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, allowing full compatibility with professional graphics applications, whereas the H20 reports no API support. The RTX 4000 Ada also has a higher boost clock (2175 MHz versus 1980 MHz) and a much higher pixel rate (139.2 GPixel/s versus 47.52 GPixel/s), which benefits rasterization and viewport performance. Its 130 W TDP and single-slot design make it easy to install in workstations with modest power budgets.

Benchmark data reinforces the RTX 4000 Ada's position. Its Geekbench OpenCL score of 146593 and Vulkan score of 123842 place it at the 95th percentile among all GPUs, with an average score of 135218. The H20 has no recorded benchmarks and a 50th percentile ranking, so the RTX 4000 Ada is the only one of the two with demonstrated compute performance in the database. For users running CAD, 3D rendering, or GPU-accelerated graphics pipelines, the RTX 4000 Ada is the functional choice. For users managing datacenter-scale AI or high-performance computing, the H20's specifications make it the appropriate server accelerator.