NVIDIA H200 NVL vs NVIDIA L20 Comparison

The NVIDIA H200 NVL and NVIDIA L20 are both active server accelerators from NVIDIA, but they target very different segments of the compute market. The H200 NVL is a high-capacity Hopper part designed for massive AI models, while the L20 is an Ada Lovelace card built for broader professional workloads. Benchmark data reveals a clear performance hierarchy, but the architectural split between the two is far more significant than a single score suggests.

Head-to-Head Benchmarks

The only direct benchmark comparison available is the Geekbench OpenCL test, and it decisively favors the H200 NVL. The H200 NVL scores 334,891 points, while the L20 scores 274,276 points. That is a 22.1% advantage for the H200 NVL, a substantial margin that places the two cards in distinctly different performance tiers. In this single metric, the H200 NVL wins the head-to-head by a score of 1 to 0.

Looking at the broader rivalry context, the H200 NVL’s score sits at the 100th percentile of all GPUs, meaning it outperforms virtually every other graphics card in the database. Its nearest competitors underscore its position: 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%. This places the H200 NVL in the upper echelon of compute accelerators, just a step below the newest Blackwell parts.

The L20, by contrast, sits at the 99th percentile, which is still elite but not the absolute top. Its OpenCL score of 274,276 puts it ahead of the NVIDIA PG506-232 by 11.6% and the AMD Radeon PRO W7900D by 14.2%. However, it falls behind the NVIDIA L40 by 11.6% and the NVIDIA RTX 6000 Ada Generation by 12.6%. The L20 is therefore a strong performer in its own right, but it is clearly positioned below the H200 NVL and other flagship server cards.

The 22.1% delta between the two cards in OpenCL is consistent with their respective class rankings. The H200 NVL’s 100th-percentile standing versus the L20’s 99th-percentile standing suggests that while both are exceptional, the H200 NVL operates in a different league. The benchmark results indicate that for any workload that scales with raw compute throughput, the H200 NVL will deliver meaningfully better performance.

Architecture Differences

The two cards are built on completely different architectures, which explains their divergent performance profiles. The H200 NVL uses the GH100 chip based on the Hopper architecture, fabricated on a 5 nm process at TSMC. It packs 80,000 million transistors onto an 814 mm² die, yielding a transistor density of 98.3 million per square millimeter. In contrast, the L20 uses the AD102 chip based on Ada Lovelace, also on a 5 nm TSMC process, but with 76,300 million transistors on a smaller 609 mm² die. This gives the L20 a higher transistor density of 125.3 million per square millimeter, reflecting a more compact design.

Memory is where the two diverge most dramatically. The H200 NVL features 141 GB of HBM3e memory on a 6144-bit bus, delivering a massive 4.89 TB/s of bandwidth. The L20, by comparison, has 48 GB of GDDR6 memory on a 384-bit bus, with 864.0 GB/s of bandwidth. The H200 NVL offers nearly six times the memory bandwidth and nearly three times the capacity, making it far better suited for memory-bound workloads like large language model inference. The L20’s memory clock is 2250 MHz (18 Gbps effective), while the H200 NVL’s memory runs at 1593 MHz (6.4 Gbps effective), but the H200 NVL’s sheer bus width and HBM3e technology compensate entirely for the lower clock.

Compute resources also differ significantly. The H200 NVL has 16,896 shading units, 528 TMUs, and 528 tensor cores, but only 24 ROPs. The L20 has 11,776 shading units, 368 TMUs, 368 tensor cores, and 128 ROPs. The H200 NVL’s higher shading unit count drives its FP32 throughput of 60.32 TFLOPS, slightly ahead of the L20’s 59.35 TFLOPS. However, the L20 has a much higher boost clock of 2520 MHz versus 1785 MHz on the H200 NVL, which helps it close the gap. In FP16, the H200 NVL reaches 120.6 TFLOPS using a 2:1 ratio, while the L20 is limited to 59.35 TFLOPS at a 1:1 ratio, meaning the H200 NVL doubles the L20’s FP16 performance.

The L20 also includes 92 RT cores and supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the H200 NVL has no RT cores and lists N/A for all graphics APIs. The L20 has 4x DisplayPort 1.4a outputs, whereas the H200 NVL has no display outputs at all. Power and interface specs reflect their roles: the H200 NVL draws 600 W with an 8-pin EPS connector and requires a 1000 W PSU, while the L20 draws 275 W with a single 16-pin connector and requires a 600 W PSU. The H200 NVL uses PCIe 5.0 x16, while the L20 uses PCIe 4.0 x16.

Where Each One Wins

The H200 NVL wins in scenarios that demand massive memory capacity and bandwidth. Its 141 GB of HBM3e at 4.89 TB/s makes it the obvious choice for training and serving large-scale AI models, where the entire model and its activations need to reside in GPU memory. The 22.1% OpenCL lead over the L20 is complemented by its FP16 throughput of 120.6 TFLOPS, which is exactly double the L20’s FP16 capability. For any workload that leverages mixed-precision training or inference, the H200 NVL will deliver far superior results. Its 100th-percentile ranking among all GPUs also suggests it is near the top of the heap for any compute-intensive task.

The L20 wins in areas where the H200 NVL is simply not equipped. With 128 ROPs and 92 RT cores, the L20 is capable of rasterization and ray tracing, while the H200 NVL has zero ROP-heavy graphics features and no display outputs. The L20’s 322.6 GPixel/s pixel rate is nearly eight times the H200 NVL’s 42.84 GPixel/s, making the L20 a viable option for visualization, rendering, or any graphics-adjacent workload. It also supports a full range of modern APIs, including DirectX 12 Ultimate and Vulkan 1.4, which the H200 NVL cannot use. The L20’s lower 275 W power draw and smaller footprint make it easier to deploy in dense servers where power and cooling are constrained.

For raw compute, the H200 NVL is the clear winner, but the L20 offers a more balanced feature set. The H200 NVL’s texture rate of 942.5 GTexel/s is only marginally higher than the L20’s 927.4 GTexel/s, indicating that the two are closely matched in texture-heavy operations. The H200 NVL’s FP32 advantage is slim at 60.32 vs 59.35 TFLOPS, so for single-precision compute, the two are nearly equivalent. The real differentiators are memory, FP16, and graphics capabilities.

FAQ

Q: Which GPU has higher memory bandwidth?

A: The NVIDIA H200 NVL has a bandwidth of 4.89 TB/s, while the NVIDIA L20 has 864.0 GB/s. The H200 NVL’s HBM3e memory and 6144-bit bus provide roughly 5.7 times the bandwidth of the L20’s GDDR6 memory on a 384-bit bus.

Q: Is the NVIDIA H200 NVL always faster than the L20?

A: In the only head-to-head benchmark available, Geekbench OpenCL, the H200 NVL scores 334,891 versus the L20’s 274,276, a 22.1% advantage. However, the L20 wins in pixel rate (322.6 vs 42.84 GPixel/s) and offers graphics APIs that the H200 NVL lacks, so the L20 is faster in specific rendering tasks.

Q: Can the NVIDIA L20 be used for AI workloads?

A: Yes, the L20 has 368 tensor cores and supports FP16 at 59.35 TFLOPS. It is a capable AI accelerator, but the H200 NVL’s 528 tensor cores and 120.6 TFLOPS FP16 throughput make it significantly more powerful for large-scale AI models.

Q: What is the memory capacity difference?

A: The H200 NVL has 141 GB of HBM3e memory, while the L20 has 48 GB of GDDR6 memory. The H200 NVL offers nearly three times the capacity, which is critical for fitting larger models without sharding.

Q: Which card supports display outputs?

A: The NVIDIA L20 has 4x DisplayPort 1.4a outputs and supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. The NVIDIA H200 NVL has no display outputs and lists N/A for all graphics APIs, making it a pure compute accelerator.

Q: How do their power requirements compare?

A: The H200 NVL has a TDP of 600 W and requires a 1000 W PSU, while the L20 has a TDP of 275 W and requires a 600 W PSU. The L20 is more power-efficient per watt for graphics tasks, but the H200 NVL’s higher power draw enables its superior memory and FP16 performance.

Specification Differences

The following table lists only the fields where the two GPUs differ, based on the available data.

| Specification | NVIDIA H200 NVL | NVIDIA L20 |

|---|---|---|

| Architecture | Hopper | Ada Lovelace |

| Generation | Server Hopper (Hxx) | Server Ada (Lxx) |

| Chip | GH100 | AD102 |

| Transistors | 80,000 million | 76,300 million |

| Die Size | 814 mm² | 609 mm² |

| Transistor Density | 98.3M / mm² | 125.3M / mm² |

| Base Clock | 1365 MHz | 1440 MHz |

| Boost Clock | 1785 MHz | 2520 MHz |

| Memory Clock | 1593 MHz (6.4 Gbps effective) | 2250 MHz (18 Gbps effective) |

| Memory Size | 141 GB | 48 GB |

| Memory Type | HBM3e | GDDR6 |

| Memory Bus Width | 6144 bit | 384 bit |

| Memory Bandwidth | 4.89 TB/s | 864.0 GB/s |

| Shading Units | 16896 | 11776 |

| TMUs | 528 | 368 |

| ROPs | 24 | 128 |

| RT Cores | N/A | 92 |

| Tensor Cores | 528 | 368 |

| Pixel Rate | 42.84 GPixel/s | 322.6 GPixel/s |

| Texture Rate | 942.5 GTexel/s | 927.4 GTexel/s |

| FP32 | 60.32 TFLOPS | 59.35 TFLOPS |

| FP16 | 120.6 TFLOPS (2:1) | 59.35 TFLOPS (1:1) |

| TDP | 600 W | 275 W |

| Power Connectors | 8-pin EPS | 1x 16-pin |

| Suggested PSU | 1000 W | 600 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x16 |

| Display Outputs | No outputs | 4x DisplayPort 1.4a |

| DirectX | N/A | 12 Ultimate (12_2) |

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Release Date | 2024-11-17 | 2023-11-15 |

| Predecessor | Server Ada | Server Ampere |

| Successor | Server Blackwell | Server Hopper |

| Average Benchmark Score | 334891 | 251147 |

| Percentile vs All GPUs | 100 | 99 |