NVIDIA H200 NVL

NVIDIA H200 NVL is a dual-slot server accelerator built on the Hopper architecture, featuring the GH100 chip manufactured on a 5 nm TSMC process. The data sheet places this part in the 100th percentile of all GPUs tracked, with an average benchmark score of 305,608 points in Geekbench OpenCL. This score positions it as a high-end compute device, though the competitive landscape shows it is not the absolute fastest in every comparison, with the RTX 5880 Ada Generation holding a modest lead. The following analysis breaks down the benchmark results, feature set, target usage, power requirements, and relative standing against its nearest rivals.

Benchmark Performance

The H200 NVL delivers a Geekbench OpenCL score of 305,608, which places it in the 100th percentile of all GPUs in the database — a clear indicator of top-tier compute capability. This score stems from a configuration of 16,896 shading units, 528 texture mapping units, and 24 raster output units, operating at a base clock of 1365 MHz and a boost clock of 1785 MHz. The FP32 throughput is rated at 60.32 TFLOPS, while FP16 performance reaches 241.3 TFLOPS using a 4:1 ratio, highlighting the architecture's bias toward mixed-precision and AI workloads rather than traditional rasterization.

Against its closest competitor, the NVIDIA L40S, the H200 NVL is 4.4% ahead, with the L40S scoring 292,603. This is a modest margin, suggesting that in raw OpenCL compute, the two cards are nearly interchangeable, though the H200 NVL's larger memory and bandwidth may tip the balance in memory-bound tasks. The gap widens when compared to the RTX 6000 Ada Generation, where the H200 NVL leads by 8.4% (281,932 for the RTX 6000), and similarly against the L40, where the advantage is 8.5% (281,655). These deltas indicate a consistent performance tier above the older Ada-based workstation parts, but the difference is not transformative — around 8% in synthetic compute.

The notable outlier is the NVIDIA RTX 5880 Ada Generation, which scores 327,829 and leads the H200 NVL by 6.8%. This is significant because it shows that a workstation-oriented Ada card can outpace the Hopper server part in OpenCL, likely due to higher clock behavior or driver optimizations in this specific test. For buyers prioritizing Geekbench OpenCL results, the RTX 5880 appears superior, but the H200 NVL's other attributes — such as memory capacity and bandwidth — may justify its position in server deployments. Benchmark results indicate that the H200 NVL is not a blanket leader; it sits in a competitive middle, beating some rivals clearly while losing to one by a noticeable margin.

Ray Tracing and Feature Set

The H200 NVL does not list dedicated ray tracing cores in the specifications provided, and there are no API entries for DirectX, OpenGL, or Vulkan. This absence is telling: the card is designed for data-center compute, not client-side graphics rendering. The display outputs are listed as "No outputs," confirming that this is a headless accelerator intended for servers where visual output is handled by other means, such as remote management or separate GPUs. The architecture is Hopper, which is NVIDIA's server-focused generation, and the predecessor is listed as Server Ada, with the successor being Server Blackwell — placing this part squarely in the enterprise compute lineage.

Instead of RT cores, the H200 NVL features 528 tensor cores, which are the primary computational engines for AI and deep learning tasks. The FP16 throughput of 241.3 TFLOPS (4:1) is a direct result of these tensor cores, and the memory subsystem is built around 141 GB of HBM3e memory on a 6144-bit bus, delivering 4.89 TB/s of bandwidth. This memory configuration is the card's defining feature — the bandwidth is enormous, and the capacity is nearly double what typical workstation cards offer. For feature set, the takeaway is that ray tracing and traditional graphics APIs are irrelevant to this product; its capabilities are centered on tensor operations and memory throughput, which are the core requirements for large-scale model inference and training.

The pixel rate is 42.84 GPixel/s and the texture rate is 942.5 GTexel/s, but these figures are secondary given the lack of display outputs and graphics API support. The card's PCIe 5.0 x16 interface ensures high host bandwidth, and the absence of a DirectX or Vulkan path means software must rely on CUDA or similar compute frameworks to utilize the hardware. In practice, this is not a limitation for its intended use case, but it does mean that any ray tracing workload would have to be executed through compute shaders rather than dedicated hardware, which would be inefficient compared to a GeForce or RTX Ada product.

Who Should Consider It

Given the benchmark scores and memory profile, the H200 NVL is suited for compute environments where memory capacity and bandwidth are more critical than raw rasterization or ray tracing performance. The 141 GB of HBM3e memory with 4.89 TB/s bandwidth is the standout feature, making this card ideal for large language model inference, scientific simulations, and data analytics that require holding massive datasets in GPU memory. The 100th percentile ranking in all GPUs indicates that for OpenCL-based workloads, it is among the fastest options available, but the 6.8% deficit against the RTX 5880 Ada Generation suggests that if the workload is purely compute-bound and fits within the RTX 5880's memory, the Ada card may be faster.

For resolution and settings-based recommendations, this card is not designed for gaming or real-time rendering — there are no display outputs, and the lack of graphics APIs confirms that. Instead, the recommendation is for server racks where multiple cards handle parallel workloads. The FP32 performance of 60.32 TFLOPS is strong for single-precision scientific codes, while the FP16 4:1 ratio of 241.3 TFLOPS accelerates mixed-precision AI training. The 4.4% lead over the L40S and 8.4% lead over the RTX 6000 Ada Generation show that in memory-hungry tasks, the H200 NVL pulls ahead, but in tightly constrained compute tasks without large memory footprints, the performance gap narrows or reverses. Users with workloads exceeding 48 GB (the typical limit of RTX 6000-class cards) will find the H200 NVL necessary, while those under that threshold could consider the RTX 5880 for better raw OpenCL scores.

Power and Cooling

The H200 NVL has a thermal design power of 600 W, which is substantial and requires server-grade cooling. The card is dual-slot, measuring 267 mm in length (10.5 inches) and 111 mm in height (4.4 inches), so it fits in standard server chassis but occupies two PCIe slots. The power is delivered via an 8-pin EPS connector, which is a server-style connector rather than the typical 8-pin PCIe found on consumer cards — this is a critical distinction for installation, as the power supply must have EPS outputs. The suggested power supply is 1000 W, which accounts for the card's draw plus headroom for the rest of the system, though this number is a recommendation and actual requirements depend on the full server configuration.

Cooling is not specified beyond the dual-slot form factor, but the 600 W TDP implies that a capable air cooler or server airflow is mandatory. The card has no display outputs, so there is no need to route display cables, and the dimensions are compact enough for high-density server racks, though the 600 W draw per card means power delivery and thermal management are primary design constraints. The memory clock is 1593 MHz, translating to 6.4 Gbps effective, and the memory bandwidth of 4.89 TB/s is achieved with the 6144-bit bus — the power budget is clearly spent on feeding the HBM3e stack and the tensor cores, not on rendering pipelines. The production status is listed as Active, and the release date is November 17, 2024, indicating a recent addition to the market.

How It Compares

NVIDIA L40S — The H200 NVL leads the L40S by 4.4%, with scores of 305,608 versus 292,603. This is a modest advantage, and in practice, the two cards are closely matched for compute. The H200 NVL's edge likely comes from the newer Hopper architecture and higher memory bandwidth, but the L40S is also a strong server part. For workloads that do not require the H200 NVL's 141 GB memory, the L40S could be considered nearly equivalent in performance.

NVIDIA RTX 5880 Ada Generation — The RTX 5880 leads the H200 NVL by 6.8%, scoring 327,829. This is the only rival in the list that beats the H200 NVL, and it does so by a meaningful margin. For OpenCL compute, the RTX 5880 is the faster card, but it comes with significantly less memory, so the H200 NVL remains the choice for large-memory applications. The performance delta is not huge — under 7% — but it is consistent.

NVIDIA RTX 6000 Ada Generation — The H200 NVL is 8.4% ahead of the RTX 6000 Ada Generation, which scores 281,932. This is a clear win for the H200 NVL, and it suggests that the Hopper architecture offers a tangible improvement over the Ada workstation flagship in compute tasks. The RTX 6000 has its own strengths in graphics, but for pure compute, the H200 NVL is superior by a comfortable margin.

NVIDIA L40 — The H200 NVL leads the L40 by 8.5%, with the L40 scoring 281,655. This is nearly identical to the delta against the RTX 6000, indicating that the H200 NVL sits a solid step above both L40 and RTX 6000 in raw compute. The L40 is a data-center card, but the H200 NVL's newer architecture and memory subsystem give it a consistent advantage of roughly 8.5% in this benchmark.

The data shows that the H200 NVL is a high-performance server accelerator that excels in memory-bound and tensor-heavy workloads, but it is not the fastest in all compute tests. Its 100th percentile ranking is tempered by the RTX 5880's lead, yet its 141 GB memory capacity and 4.89 TB/s bandwidth are unmatched among the listed rivals, making it a specialized tool for the largest datasets.