NVIDIA GeForce RTX 5070 SUPER vs NVIDIA H200 NVL Comparison

NVIDIA’s GeForce RTX 5070 SUPER and H200 NVL occupy opposite ends of the product spectrum, despite sharing a manufacturer and process node. The data shows a client-oriented Blackwell 2.0 graphics card facing a server-focused Hopper accelerator. Benchmark results place them in entirely different performance strata, with the H200 NVL scoring in the 100th percentile of all GPUs, while the RTX 5070 SUPER sits in the 18th percentile. This separation dictates their respective roles, and the recorded measurements clarify which workloads each part serves best.

Where Each One Wins

The GeForce RTX 5070 SUPER wins in the domain of real-time graphics rendering and conventional display-oriented workloads. Its benchmark result, a score of 2690 in the 3DMark Steel Nomad DX12 test, confirms it is designed for rasterization and ray-traced gaming scenarios. The card carries 6400 shading units, 200 texture mapping units, and 80 render output units, with 50 dedicated ray tracing cores. Its pixel rate of 201.0 GPixel/s and texture rate of 502.4 GTexel/s indicate a balanced pipeline for generating frames at high resolutions and detail settings. The presence of DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 support, along with display outputs of one HDMI 2.1b and three DisplayPort 2.1b, further anchors its role as a visual output device.

The H200 NVL wins in compute throughput, particularly for tasks that leverage massive parallelism and high memory bandwidth. Its sole recorded benchmark, a Geekbench OpenCL score of 334891, dwarfs the RTX 5070 SUPER’s result by more than two orders of magnitude. The H200 NVL achieves this with 16896 shading units and 528 tensor cores, delivering 60.32 TFLOPS of FP32 performance and 120.6 TFLOPS of FP16 performance. Its 141 GB of HBM3e memory on a 6144-bit bus provides 4.89 TB/s of bandwidth, a figure that supports large-scale data processing, AI model training, and scientific simulation. The H200 NVL has no display outputs, confirming it is not intended for graphics output but for headless compute in server environments.

The Verdict

Data-driven selection depends entirely on the intended workload. For interactive graphics, video game rendering, or any task requiring a display output, the GeForce RTX 5070 SUPER is the appropriate choice. Its architecture supports the full suite of modern graphics APIs, and its benchmark score, though modest in absolute terms, places it within the range of other entry-level GPUs. Its nearest rivals in the database include the NVIDIA Quadro K1100M (average score 2664, 1% lower), the NVIDIA GeForce GT 1030 (2662, 1.1% lower), and the Intel Arc Pro B50 (2660, 1.1% lower). The RTX 5070 SUPER leads this group by a small margin, indicating competitive performance at its tier.

For non-graphics compute, scientific workloads, or AI inference and training, the H200 NVL is the definitive pick. Its percentile ranking of 100 means it outperforms every other GPU in the database based on recorded measurements. Its nearest rival, the NVIDIA B200, scores 345482, which is 3.1% higher than the H200 NVL, while the AMD Instinct MI300X scores 317994, 5.3% lower. The H200 NVL also exceeds the NVIDIA L40S (295763) by 13.2%. This puts the H200 NVL at the top of the compute hierarchy, with only the B200 and B300 SXM6 AC (369831, 9.4% higher) surpassing it. The RTX 5070 SUPER cannot compete in this domain; its 32.15 TFLOPS FP32 and FP16 figures are roughly half the H200 NVL’s FP32 output and a quarter of its FP16 output, and its 18 GB memory capacity is a fraction of the H200 NVL’s 141 GB.

Head-to-Head Benchmarks

The database contains no shared benchmark tests between the two cards, so a direct comparison relies on their respective recorded scores and architectural metrics. The H200 NVL’s Geekbench OpenCL score of 334891 versus the RTX 5070 SUPER’s 3DMark Steel Nomad DX12 score of 2690 illustrates the scale of difference. The H200 NVL delivers 60.32 TFLOPS of FP32 compute, which is 87.5% higher than the RTX 5070 SUPER’s 32.15 TFLOPS. In FP16, the gap widens: the H200 NVL’s 120.6 TFLOPS is 275% higher than the RTX 5070 SUPER’s 32.15 TFLOPS (the latter is rated at 1:1 FP16 to FP32, while the former uses a 2:1 ratio).

Memory bandwidth presents the most dramatic divergence. The H200 NVL’s 4.89 TB/s bandwidth is over 7 times the RTX 5070 SUPER’s 672.0 GB/s. The H200 NVL’s 6144-bit memory bus and HBM3e memory type are fundamentally different from the RTX 5070 SUPER’s 192-bit bus and GDDR7 memory. Texture throughput also favors the H200 NVL: 942.5 GTexel/s versus 502.4 GTexel/s, a 87.6% advantage. However, the RTX 5070 SUPER counters in pixel throughput, delivering 201.0 GPixel/s against the H200 NVL’s 42.84 GPixel/s, a 4.7-fold advantage for the graphics card. This reflects the RTX 5070 SUPER’s higher render output unit count (80 versus 24) and its focus on fill-rate-bound graphics tasks.

Clock speeds also differ significantly. The RTX 5070 SUPER runs at a base of 2325 MHz and a boost of 2512 MHz, while the H200 NVL operates at 1365 MHz base and 1785 MHz boost. The higher clocks on the RTX 5070 SUPER contribute to its graphics performance, while the H200 NVL compensates with a much larger chip: 80,000 million transistors on an 814 mm² die, versus 31,100 million transistors on a 263 mm² die for the RTX 5070 SUPER. The H200 NVL’s transistor density (98.3M / mm²) is lower than the RTX 5070 SUPER’s (118.3M / mm²), indicating a less dense but larger design optimized for compute throughput rather than area efficiency.

FAQ

Q: Which card has a higher benchmark percentile ranking?

A: The NVIDIA H200 NVL ranks in the 100th percentile of all GPUs, while the NVIDIA GeForce RTX 5070 SUPER ranks in the 18th percentile.

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

A: The H200 NVL has 141 GB of HBM3e memory, while the RTX 5070 SUPER has 18 GB of GDDR7 memory.

Q: Which card supports display outputs?

A: The RTX 5070 SUPER includes 1x HDMI 2.1b and 3x DisplayPort 2.1b outputs. The H200 NVL has no display outputs.

Q: How do their FP32 compute performances compare?

A: The H200 NVL delivers 60.32 TFLOPS of FP32 performance, which is 87.5% higher than the RTX 5070 SUPER’s 32.15 TFLOPS.

Q: What is the power connector requirement for each card?

A: The RTX 5070 SUPER uses a 1x 16-pin connector with a 275 W TDP, while the H200 NVL uses an 8-pin EPS connector with a 600 W TDP and a suggested PSU of 1000 W.

Q: Which card has higher texture fill rate?

A: The H200 NVL has a texture rate of 942.5 GTexel/s, which is 87.6% higher than the RTX 5070 SUPER’s 502.4 GTexel/s.

Architecture Differences

The two GPUs derive from different architectural generations. The RTX 5070 SUPER uses the GB205 chip based on Blackwell 2.0 architecture, part of the GeForce 50-series. The H200 NVL uses the GH100 chip based on Hopper architecture, from the Server Hopper (Hxx) generation. Both are fabricated on a 5 nm process at TSMC, but the chip sizes diverge substantially: the GB205 measures 263 mm² with 31,100 million transistors, while the GH100 measures 814 mm² with 80,000 million transistors. This yields a transistor density of 118.3M / mm² for the RTX 5070 SUPER versus 98.3M / mm² for the H200 NVL.

The H200 NVL includes 528 tensor cores, while the RTX 5070 SUPER has 200 tensor cores. The H200 NVL’s tensor cores support a 2:1 FP16 to FP32 ratio, indicating specialized matrix math acceleration, whereas the RTX 5070 SUPER runs FP16 at a 1:1 ratio with FP32, suggesting a more generalized compute approach. The H200 NVL has no ray tracing cores, while the RTX 5070 SUPER includes 50. The H200 NVL also lacks any graphics API support (DirectX, OpenGL, Vulkan all listed as N/A), confirming its compute-only design. In contrast, the RTX 5070 SUPER supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, enabling full graphics feature sets.

Memory architecture differs fundamentally. The H200 NVL uses HBM3e with a 6144-bit bus and 4.89 TB/s bandwidth, while the RTX 5070 SUPER uses GDDR7 with a 192-bit bus and 672.0 GB/s bandwidth. The H200 NVL’s memory clock is 1593 MHz (6.4 Gbps effective), while the RTX 5070 SUPER’s memory clock is 1750 MHz (28 Gbps effective). The H200 NVL’s higher effective bandwidth comes from its extremely wide bus, not from higher clock speeds. The RTX 5070 SUPER’s higher memory clock reflects its consumer-oriented GDDR7 design.

Specification Differences

The two cards differ across nearly every specification field. Clock speeds: the RTX 5070 SUPER runs at 2325 MHz base and 2512 MHz boost, while the H200 NVL runs at 1365 MHz base and 1785 MHz boost. Shading units: 6400 on the RTX 5070 SUPER versus 16896 on the H200 NVL. Texture mapping units: 200 versus 528. Render output units: 80 versus 24. Tensor cores: 200 versus 528. Ray tracing cores: 50 on the RTX 5070 SUPER, none listed on the H200 NVL.

Pixel rate: 201.0 GPixel/s on the RTX 5070 SUPER versus 42.84 GPixel/s on the H200 NVL. Texture rate: 502.4 GTexel/s versus 942.5 GTexel/s. FP32 performance: 32.15 TFLOPS versus 60.32 TFLOPS. FP16 performance: 32.15 TFLOPS (1:1) versus 120.6 TFLOPS (2:1). Power draw: 275 W TDP for the RTX 5070 SUPER versus 600 W TDP for the H200 NVL, with the latter requiring a suggested 1000 W PSU. Both are dual-slot cards, but the RTX 5070 SUPER measures 245 mm in length, 115 mm in height, and 40 mm in width, while the H200 NVL measures 267 mm in length and 111 mm in height, with no width recorded.

Bus interfaces match at PCIe 5.0 x16. The RTX 5070 SUPER uses a 1x 16-pin power connector, while the H200 NVL uses an 8-pin EPS connector. Release dates differ: the RTX 5070 SUPER has a release date of 2025-12-31, while the H200 NVL has a release date of 2024-11-17. The H200 NVL lists a predecessor (Server Ada) and a successor (Server Blackwell), while the RTX 5070 SUPER lists neither. Production status for both is Active. The RTX 5070 SUPER has no launch MSRP recorded, and neither does the H200 NVL, so no price information is available in the database.