NVIDIA H200 NVL vs NVIDIA Tesla V100 PCIe 16 GB Comparison

# NVIDIA H200 NVL vs NVIDIA Tesla V100 PCIe 16 GB

The NVIDIA H200 NVL and NVIDIA Tesla V100 PCIe 16 GB represent two distinct eras of NVIDIA's server GPU lineup, separated by seven years of architectural evolution. The data shows a decisive performance gap: the H200 NVL delivers a Geekbench OpenCL score of 334,891 against the V100's 163,063, a 105.4% advantage. However, the comparison extends beyond raw compute, touching on memory capacity, bandwidth, power efficiency, and platform compatibility. This analysis walks through the benchmark data, architectural differences, and specification deltas to clarify where each accelerator still holds relevance.

Where Each One Wins

The head-to-head benchmark record is unambiguous: the H200 NVL wins the only shared test, Geekbench OpenCL, by a 105.4% margin. That single result places the H200 NVL in the 100th percentile of all GPUs, while the V100 sits at the 96th percentile. In practical terms, the H200 NVL is not merely faster—it is more than twice as fast in this compute workload, which scales with memory bandwidth and FP32 throughput.

The V100's remaining strengths are contextual rather than performance-based. It offers a 16 GB HBM2 frame buffer, which is sufficient for older inference models and smaller batch sizes, and its 300 W TDP makes it a lower-power option for legacy server deployments. The V100 also supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, whereas the H200 NVL exposes no graphics APIs—the H200 is purely a compute accelerator. For workloads that require any form of display output or graphics API support, the V100 is the only viable choice between the two.

The H200 NVL's 141 GB HBM3e memory dwarfs the V100's 16 GB HBM2, enabling far larger model residency and reducing the need for memory swapping. Its 4.89 TB/s bandwidth is 5.45 times the V100's 897.0 GB/s, a factor that directly benefits memory-bound kernels. The H200 also leads in FP32 (60.32 TFLOPS vs 14.13 TFLOPS) and FP16 (120.6 TFLOPS vs 28.26 TFLOPS), making it the clear winner for training, large-scale inference, and scientific computing.

Architecture Differences

The H200 NVL is built on the Hopper architecture (GH100 chip) using TSMC's 5 nm process, packing 80,000 million transistors into an 814 mm² die. The V100 uses the Volta architecture (GV100 chip) on a 12 nm process, with 21,100 million transistors on a nearly identical 815 mm² die. The transistor density tells the story: the H200 achieves 98.3M transistors per mm², while the V100 manages 25.9M per mm²—a 3.8x density advantage enabled by the smaller process node.

Core configurations differ substantially. The H200 NVL features 16,896 shading units, 528 TMUs, and 24 ROPs, alongside 528 tensor cores. The V100 has 5,120 shading units, 320 TMUs, and 128 ROPs, with 640 tensor cores. Notably, the V100 actually has more tensor cores (640 vs 528), but the H200's tensor cores are far more capable per unit, reflecting the architectural leap from Volta to Hopper. The H200's low ROP count (24 vs 128) is intentional—it is not designed for rasterization, and its pixel rate of 42.84 GPixel/s is a fraction of the V100's 176.6 GPixel/s. The H200 compensates with a texture rate of 942.5 GTexel/s versus 441.6 GTexel/s on the V100.

Memory subsystems are generations apart. The H200 uses HBM3e across a 6144-bit bus, while the V100 uses HBM2 across a 4096-bit bus. Clock speeds also differ: the H200 runs at 1365 MHz base and 1785 MHz boost, with memory at 1593 MHz (6.4 Gbps effective), versus the V100's 1245 MHz base and 1380 MHz boost, with memory at 876 MHz (1752 Mbps effective). The H200's boost clock is 29.3% higher, and its memory clock is nearly four times faster in effective terms.

FAQ

Q: Which GPU has higher memory bandwidth?

A: The H200 NVL leads with 4.89 TB/s from HBM3e on a 6144-bit bus, versus the V100's 897.0 GB/s from HBM2 on a 4096-bit bus—a 5.45x difference.

Q: Can the Tesla V100 handle modern graphics workloads?

A: Yes, within limits. The V100 supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, while the H200 NVL has no graphics API support. However, the V100's 14.13 FP32 TFLOPS and 176.6 GPixel/s pixel rate are modest by current standards.

Q: How do their power requirements compare?

A: The H200 NVL has a 600 W TDP with a suggested 1000 W PSU and a single 8-pin EPS connector. The V100 has a 300 W TDP with a suggested 700 W PSU and dual 8-pin connectors. The H200 draws double the power but delivers over double the performance.

Q: What is the production status of each GPU?

A: The H200 NVL is listed as Active, while the V100 is End-of-life. The H200 NVL was released on 2024-11-17, and the V100 was released on 2017-06-20.

Q: Which GPU has better benchmark percentile ranking?

A: The H200 NVL sits in the 100th percentile of all GPUs with an average benchmark score of 334,891. The V100 is in the 96th percentile with an average score of 138,063, though it has additional Vulkan benchmark data.

Q: Are these GPUs compatible with the same server platforms?

A: No. The H200 NVL uses PCIe 5.0 x16, while the V100 uses PCIe 3.0 x16. The H200 also requires a dual-slot form factor with different power delivery (8-pin EPS vs 2x 8-pin).

Specification Differences

| Specification | H200 NVL | V100 PCIe 16 GB |

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

| Architecture | Hopper | Volta |

| Process Node | 5 nm | 12 nm |

| Transistors | 80,000 million | 21,100 million |

| Die Size | 814 mm² | 815 mm² |

| Transistor Density | 98.3M / mm² | 25.9M / mm² |

| Base Clock | 1365 MHz | 1245 MHz |

| Boost Clock | 1785 MHz | 1380 MHz |

| Memory Clock | 1593 MHz (6.4 Gbps) | 876 MHz (1752 Mbps) |

| Memory Size | 141 GB | 16 GB |

| Memory Type | HBM3e | HBM2 |

| Memory Bus | 6144 bit | 4096 bit |

| Memory Bandwidth | 4.89 TB/s | 897.0 GB/s |

| Shading Units | 16,896 | 5,120 |

| TMUs | 528 | 320 |

| ROPs | 24 | 128 |

| Tensor Cores | 528 | 640 |

| Pixel Rate | 42.84 GPixel/s | 176.6 GPixel/s |

| Texture Rate | 942.5 GTexel/s | 441.6 GTexel/s |

| FP32 | 60.32 TFLOPS | 14.13 TFLOPS |

| FP16 | 120.6 TFLOPS | 28.26 TFLOPS |

| TDP | 600 W | 300 W |

| Power Connectors | 8-pin EPS | 2x 8-pin |

| Suggested PSU | 1000 W | 700 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 3.0 x16 |

| DirectX | N/A | 12 (12_1) |

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Production Status | Active | End-of-life |

| Release Date | 2024-11-17 | 2017-06-20 |

Head-to-Head Benchmarks

The only direct benchmark comparison available is Geekbench OpenCL, where the H200 NVL scores 334,891 against the V100's 163,063. That 105.4% delta is the largest single-test gap in either GPU's rival set. For context, the H200 NVL's nearest rival, the NVIDIA B200, scores 345,482—just 3.1% higher—while the AMD Instinct MI300X trails at 317,994, a 5.3% deficit. The V100's closest competitor, the AMD Instinct MI100, scores 139,035, which is only 0.7% higher than the V100's 138,063 average. The V100 also has a Vulkan score of 113,062, but the H200 has no Vulkan result to compare.

The FP32 compute gap is equally stark: 60.32 TFLOPS versus 14.13 TFLOPS, a 4.27x difference. In FP16, the H200's 120.6 TFLOPS is 4.27x the V100's 28.26 TFLOPS. Memory bandwidth follows the same pattern—4.89 TB/s versus 897.0 GB/s—which explains why the OpenCL delta is so pronounced; OpenCL workloads often saturate memory bandwidth, and the H200's HBM3e provides a massive advantage.

The Verdict

The data points decisively to the H200 NVL for any modern compute workload. It offers 2.05x the OpenCL score, 4.27x the FP32 throughput, 4.27x the FP16 throughput, and 5.45x the memory bandwidth of the V100. Its 141 GB memory capacity is 8.8x larger, allowing model sizes that would be impossible on the V100's 16 GB frame buffer. For training, large-scale inference, or HPC simulation, the H200 NVL is the only rational choice—it is in the 100th percentile of all GPUs, and its nearest rival, the B200, is only 3.1% faster.

The V100 retains a narrow niche. Its support for DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4 makes it usable in environments that require graphics APIs, which the H200 NVL completely lacks. Its 300 W TDP and 700 W suggested PSU also fit into legacy server chassis that cannot supply 600 W to a single card. For organizations still running Volta-era software stacks or needing API compatibility, the V100 remains a functional option—but its end-of-life status and 96th percentile ranking signal that its days are numbered. The H200 NVL is the clear winner on every compute metric, and the benchmark data leaves no ambiguity about which GPU is suited to demanding workloads.