NVIDIA H200 NVL vs NVIDIA RTX A4500 Mobile Comparison

The NVIDIA H200 NVL and the RTX A4500 Mobile occupy completely different corners of the GPU landscape: one is an active datacenter accelerator built on Hopper, the other an end-of-life Ampere mobile workstation chip. The database shows a massive gap between them, with the H200 NVL sitting in the 100th percentile of all recorded GPUs and the A4500 Mobile in the 93rd. On the single head-to-head benchmark the two share, the H200 NVL wins by 218%, and the recorded data makes it clear these products were never designed to compete.

Head-to-Head Benchmarks

The only test with results for both cards is Geekbench OpenCL, and it is not close. The H200 NVL scores 334891 while the RTX A4500 Mobile scores 105307, a delta of 218% in the H200 NVL's favor. In practical terms, the H200 NVL delivers roughly three times the OpenCL compute throughput of the A4500 Mobile.

That result is consistent with how each card stacks up against its own peer group. The H200 NVL's score of 334891 puts it 5.3% ahead of the AMD Instinct MI300X (317994) and 13.2% ahead of the NVIDIA L40S (295763), while trailing the NVIDIA B200 by 3.1% (345482) and the B300 SXM6 AC by 9.4% (369831). In other words, the H200 NVL competes at the very top of the AI accelerator segment, trading blows with the newest Blackwell parts.

The A4500 Mobile's average benchmark score of 91134 tells a different story. Its nearest rival is the desktop RTX A4500 at 91671, just 0.6% ahead, and the A4500 Mobile sits 1.4% behind the AMD Radeon Instinct MI60 (92466) while leading the Quadro GP100 (87445) by 4.2% and the Radeon PRO W7600 (87108) by 4.6%. It also has a Vulkan result of 76960, a test for which no H200 NVL data exists, since the datacenter card reports no Vulkan, DirectX, or OpenGL support at all.

Where Each One Wins

The H200 NVL wins every shared benchmark: one test, one win, zero for the A4500 Mobile. Its strengths are raw compute and memory capacity. With 60.32 TFLOPS of FP32, 120.6 TFLOPS of FP16 at a 2:1 ratio, 528 tensor cores, and 141 GB of HBM3e delivering 4.89 TB/s of bandwidth, it is built for large-scale AI training and inference, HPC workloads, and anything that saturates a 6144-bit memory bus.

The A4500 Mobile wins on categories the H200 NVL simply does not address. It is a mobile part with a 140 W TDP and no power connectors, versus a 600 W TDP, an 8-pin EPS connector, and a suggested 1000 W PSU for the H200 NVL. It has 46 RT cores and full graphics API support (DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4) with portable-device-dependent display outputs, while the H200 NVL has no RT cores, no graphics API support, and no display outputs at all. For 3D rendering, viewport work, or any mobile workstation task, the A4500 Mobile is the only viable option of the two.

Architecture Differences

The generational and architectural gap is wide. The H200 NVL uses the GH100 chip on the Hopper architecture, fabricated on TSMC's 5 nm process, with 80,000 million transistors packed into an 814 mm² die at a density of 98.3M per mm². The A4500 Mobile uses the GA104 chip on Ampere, built on Samsung's 8 nm process, with 17,400 million transistors on a 392 mm² die at 44.4M per mm². That is roughly 4.6 times the transistors and more than double the density for the Hopper part.

Compute resources scale accordingly. The H200 NVL has 16896 shading units, 528 TMUs, 528 tensor cores, and 24 ROPs, with a base clock of 1365 MHz and a boost of 1785 MHz. The A4500 Mobile has 5888 shading units, 184 TMUs, 184 tensor cores, and 96 ROPs, clocked at 930 MHz base and 1500 MHz boost. The memory subsystems diverge sharply: HBM3e at 141 GB on a 6144-bit bus with 4.89 TB/s bandwidth running at 1593 MHz (6.4 Gbps effective) for the H200 NVL, versus 16 GB of GDDR6 on a 256-bit bus with 512.0 GB/s at 2000 MHz (16 Gbps effective) for the A4500 Mobile.

Interesting inversions appear in the pixel and texture rates. The A4500 Mobile's 96 ROPs produce a pixel rate of 144.0 GPixel/s, far above the H200 NVL's 42.84 GPixel/s from its 24 ROPs, because the datacenter card was never meant to drive displays. Texture rate goes the other way: 942.5 GTexel/s for the H200 NVL versus 276.0 GTexel/s for the A4500 Mobile. The H200 NVL connects over PCIe 5.0 x16 and occupies a dual-slot form factor measuring 267 mm long and 111 mm tall; the A4500 Mobile uses PCIe 4.0 x16 in a notebook-integrated format with no recorded dimensions.

FAQ

Q: How much faster is the H200 NVL in benchmarks?

A: In the shared Geekbench OpenCL test, the H200 NVL scores 334891 versus 105307 for the A4500 Mobile, a 218% advantage.

Q: Can either card drive a display?

A: Only the A4500 Mobile. Its display outputs are portable-device dependent. The H200 NVL has no display outputs at all and no DirectX, OpenGL, or Vulkan support.

Q: How do their memory configurations compare?

A: The H200 NVL has 141 GB of HBM3e on a 6144-bit bus with 4.89 TB/s of bandwidth. The A4500 Mobile has 16 GB of GDDR6 on a 256-bit bus with 512.0 GB/s of bandwidth.

Q: How does the H200 NVL compare against its own datacenter rivals?

A: It leads the AMD Instinct MI300X by 5.3% and the NVIDIA L40S by 13.2%, while trailing the NVIDIA B200 by 3.1% and the B300 SXM6 AC by 9.4%.

Q: How does the A4500 Mobile compare to its peers?

A: It sits 0.6% behind the desktop RTX A4500, 1.4% behind the AMD Radeon Instinct MI60, and 4.2% and 4.6% ahead of the Quadro GP100 and Radeon PRO W7600 respectively.

Q: Are both cards still in production?

A: No. The H200 NVL is listed as active, released in late 2024. The A4500 Mobile is end-of-life, released in early 2022.

Specification Differences

• Chip: GH100 (H200 NVL) vs GA104 (A4500 Mobile)
• Architecture: Hopper vs Ampere
• Process node: TSMC 5 nm vs Samsung 8 nm
• Transistors: 80,000 million vs 17,400 million
• Die size: 814 mm² vs 392 mm²
• Transistor density: 98.3M/mm² vs 44.4M/mm²
• Clocks: 1365 MHz base / 1785 MHz boost vs 930 MHz base / 1500 MHz boost
• Memory: 141 GB HBM3e, 6144-bit, 4.89 TB/s vs 16 GB GDDR6, 256-bit, 512.0 GB/s
• Shading units: 16896 vs 5888
• TMUs: 528 vs 184
• ROPs: 24 vs 96
• RT cores: none recorded vs 46
• Tensor cores: 528 vs 184
• FP32: 60.32 TFLOPS vs 17.66 TFLOPS
• FP16: 120.6 TFLOPS (2:1) vs 17.66 TFLOPS (1:1)
• TDP: 600 W vs 140 W
• Power connectors: 8-pin EPS vs none
• Suggested PSU: 1000 W vs none listed
• Bus interface: PCIe 5.0 x16 vs PCIe 4.0 x16
• Pixel rate: 42.84 GPixel/s vs 144.0 GPixel/s
• Texture rate: 942.5 GTexel/s vs 276.0 GTexel/s
• API support: none (N/A across DirectX, OpenGL, Vulkan) vs DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4
• Display outputs: none vs portable-device dependent
• Production status: active vs end-of-life
• Release date: 2024 vs 2022
• Predecessor/successor: Server Ada to Server Blackwell vs Quadro Turing-M to Ada-MW

The Verdict

These two cards answer questions that never overlap, and the data reflects that. If the workload is large-scale compute, the H200 NVL is in a different league: 218% faster in the shared OpenCL benchmark, 100th percentile versus 93rd, nearly 10 times the memory bandwidth, and roughly 8.8 times the memory capacity. It is the pick for AI and HPC deployment where a 600 W accelerator with a 1000 W PSU recommendation and server infrastructure is available.

If the workload is mobile professional graphics, the A4500 Mobile is the only option here that qualifies. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, has 46 RT cores, drives displays, and runs at 140 W with no external power connector inside a notebook. Its benchmark standing is solid within its class, essentially matching the desktop RTX A4500, though buyers should note its end-of-life status and its 2022 origin.

The bottom line from the database: the H200 NVL is a top-tier active datacenter accelerator, the A4500 Mobile is a retired mobile workstation GPU, and no realistic purchase decision pits one against the other.