NVIDIA H200 NVL vs NVIDIA RTX 4500 Ada Generation Comparison

The NVIDIA H200 NVL and the NVIDIA RTX 4500 Ada Generation occupy vastly different corners of the GPU market, and the benchmark data reflects that chasm. The H200 NVL is a compute behemoth aimed squarely at server-scale AI and HPC workloads, while the RTX 4500 Ada is a professional workstation card designed for content creation and rendering. The data shows a single head-to-head benchmark, but the architectural and specification differences tell a much longer story.

Head-to-Head Benchmarks

The only direct comparison available is the Geekbench OpenCL test, and the result is a landslide. The H200 NVL scores 334,891, while the RTX 4500 Ada scores 160,786. This translates to a delta of 108.3%, meaning the H200 NVL is more than twice as fast in raw compute throughput. This is not a close contest; it is a demonstration of two different performance tiers.

Looking at the H200 NVL’s position among its nearest rivals, it sits at the 100th percentile of all GPUs. It trails the NVIDIA B300 SXM6 AC by 9.4% and the NVIDIA B200 by 3.1%, but it leads the AMD Instinct MI300X by 5.3% and the NVIDIA L40S by 13.2%. In practical terms, the H200 NVL is at the top of the current server GPU food chain, with only the newest Blackwell parts edging it out. Its average benchmark score of 334,891 reflects its dominant compute position.

The RTX 4500 Ada, in contrast, sits at the 97th percentile of all GPUs, which is still excellent but not top-tier. Its average benchmark score across both OpenCL and Vulkan tests is 166,094. Its nearest rivals are all extremely close: it is 0.5% ahead of the NVIDIA RTX A5500, 0.7% ahead of the AMD Radeon PRO W7800, and 2.2% ahead of the NVIDIA A100 PCIe 40 GB. The only card it trails in that group is the AMD Radeon Pro W6900X, which is 1.5% faster. This clustering shows that the RTX 4500 Ada is firmly in the upper-midrange professional segment, competing with previous-generation flagship cards rather than the current server-class parts.

The Geekbench OpenCL delta of 108.3% is the headline number. It means that for any workload that scales with raw FP32 or tensor throughput, the H200 NVL is the clear winner. The H200 NVL’s FP32 compute of 60.32 TFLOPS dwarfs the RTX 4500 Ada’s 39.63 TFLOPS. The H200 NVL also offers 120.6 TFLOPS FP16 performance, while the RTX 4500 Ada only manages 39.63 TFLOPS in FP16, a 3x disadvantage for the workstation card in half-precision workloads.

Architecture Differences

The two GPUs are built on fundamentally different architectures. The H200 NVL uses the GH100 chip based on the Hopper architecture, while the RTX 4500 Ada uses the AD103 chip based on Ada Lovelace. Both are manufactured on a 5 nm process at TSMC, but that is where the similarity ends.

The H200 NVL’s GH100 die is massive, measuring 814 mm² and containing 80,000 million transistors. This gives it a transistor density of 98.3M per mm². The RTX 4500 Ada’s AD103 die is significantly smaller at 379 mm², with 45,900 million transistors, resulting in a higher density of 121.1M per mm². The H200 NVL’s sheer die size and transistor count are what enable its huge compute and memory resources.

Memory is one of the most significant differentiators. The H200 NVL is equipped with 141 GB of HBM3e memory on a 6144-bit bus, delivering a staggering 4.89 TB/s of bandwidth. The RTX 4500 Ada has 24 GB of GDDR6 memory on a 192-bit bus, yielding 432.0 GB/s of bandwidth. This is an 11.3x difference in bandwidth in favor of the H200 NVL. For AI training and large dataset processing, memory bandwidth is often the bottleneck, and the H200 NVL has a massive advantage here.

The compute resources are also wildly different. The H200 NVL has 16,896 shading units, 528 TMUs, and 24 ROPs. The RTX 4500 Ada has 7,680 shading units, 240 TMUs, and 80 ROPs. The H200 NVL has more than double the shading units and TMUs, but the RTX 4500 Ada has more than triple the ROPs. This reflects their different purposes: the H200 NVL is optimized for pure compute throughput, while the RTX 4500 Ada retains strong pixel-pushing capabilities for graphics workloads. The H200 NVL also has 528 tensor cores, while the RTX 4500 Ada has 240.

The RTX 4500 Ada includes 60 dedicated ray tracing cores, a feature entirely absent from the H200 NVL, which has no listed RT cores. The H200 NVL also has no display outputs, while the RTX 4500 Ada has four DisplayPort 1.4a connections. This confirms the H200 NVL is a headless compute accelerator, whereas the RTX 4500 Ada is designed to drive professional displays.

FAQ

Q: Which GPU is faster in the Geekbench OpenCL benchmark?

A: The NVIDIA H200 NVL is significantly faster, scoring 334,891 compared to the RTX 4500 Ada’s 160,786, a 108.3% higher score.

Q: How much memory bandwidth does each card have?

A: The H200 NVL has 4.89 TB/s of bandwidth with HBM3e memory, while the RTX 4500 Ada offers 432.0 GB/s with GDDR6 memory.

Q: Can the H200 NVL be used for graphics rendering with display outputs?

A: No, the H200 NVL has no display outputs. The RTX 4500 Ada, in contrast, has four DisplayPort 1.4a outputs.

Q: What is the difference in FP16 compute performance?

A: The H200 NVL delivers 120.6 TFLOPS FP16 performance, while the RTX 4500 Ada provides 39.63 TFLOPS, a 3x advantage for the H200 NVL.

Q: How does the RTX 4500 Ada compare to its nearest rival, the NVIDIA RTX A5500?

A: The RTX 4500 Ada has an average benchmark score of 166,094, which is 0.5% higher than the RTX A5500’s score of 165,217.

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

A: The H200 NVL has 141 GB of memory, while the RTX 4500 Ada has 24 GB.

The Verdict

The data makes the choice straightforward for most users. Pick the NVIDIA H200 NVL if your workload is compute-bound and requires massive memory capacity and bandwidth. Its 141 GB of HBM3e and 4.89 TB/s bandwidth are essential for large-scale AI models and scientific simulations. Its 100th percentile ranking and FP32 throughput of 60.32 TFLOPS demonstrate that it is a top-tier server accelerator, and its 108.3% lead over the RTX 4500 Ada in OpenCL confirms its raw compute dominance. This is a card for data centers, not desktops.

Pick the NVIDIA RTX 4500 Ada Generation if you need a professional workstation GPU with display outputs and ray tracing capability. Its 97th percentile ranking shows it is a strong performer, and its 0.5% lead over the RTX A5500 and 2.2% lead over the A100 PCIe 40 GB show it holds its own against previous flagships. The 60 RT cores and 4x DisplayPort outputs make it suitable for 3D rendering, video editing, and CAD work. Its lower 210 W TDP and lack of power connectors also make it easier to integrate into a standard workstation.

The choice is not about which is "better" overall, but which is better for the intended task. The H200 NVL is a specialized compute tool; the RTX 4500 Ada is a versatile graphics workstation. If you need to render frames, the RTX 4500 Ada is the logical choice. If you need to train a neural network, the H200 NVL is the only rational option based on the data.

Specification Differences

The following specifications differ between the two GPUs:

• Chip: GH100 vs AD103
• Architecture: Hopper vs Ada Lovelace
• Generation: Server Hopper (Hxx) vs Workstation Ada
• Transistors: 80,000 million vs 45,900 million
• Die Size: 814 mm² vs 379 mm²
• Transistor Density: 98.3M / mm² vs 121.1M / mm²
• Base Clock: 1365 MHz vs 2070 MHz
• Boost Clock: 1785 MHz vs 2580 MHz
• Memory Clock: 1593 MHz (6.4 Gbps effective) vs 2250 MHz (18 Gbps effective)
• Memory Size: 141 GB vs 24 GB
• Memory Type: HBM3e vs GDDR6
• Memory Bus Width: 6144 bit vs 192 bit
• Memory Bandwidth: 4.89 TB/s vs 432.0 GB/s
• Shading Units: 16896 vs 7680
• TMUs: 528 vs 240
• ROPs: 24 vs 80
• RT Cores: None vs 60
• Tensor Cores: 528 vs 240
• Pixel Rate: 42.84 GPixel/s vs 206.4 GPixel/s
• Texture Rate: 942.5 GTexel/s vs 619.2 GTexel/s
• FP32 Performance: 60.32 TFLOPS vs 39.63 TFLOPS
• FP16 Performance: 120.6 TFLOPS (2:1) vs 39.63 TFLOPS (1:1)
• TDP: 600 W vs 210 W
• Power Connectors: 8-pin EPS vs None
• Suggested PSU: 1000 W vs 550 W
• Bus Interface: PCIe 5.0 x16 vs PCIe 4.0 x16
• Display Outputs: No outputs vs 4x DisplayPort 1.4a
• APIs: DirectX N/A, OpenGL N/A, Vulkan N/A vs DirectX 12 Ultimate (12_2), OpenGL 4.6, Vulkan 1.4
• Length: 267 mm vs 245 mm
• Release Date: 2024-11-17 vs 2023-08-08
• Predecessor: Server Ada vs Workstation Ampere
• Successor: Server Blackwell vs Blackwell PRO W
• Benchmark Scores: 334,891 (OpenCL) vs 160,786 (OpenCL), 171,401 (Vulkan)
• Average Benchmark Score: 334,891 vs 166,094
• Percentile Vs All GPUs: 100 vs 97