NVIDIA H800 SXM5

# NVIDIA H800 SXM5

The NVIDIA H800 SXM5 is a server-grade accelerator built on the Hopper architecture, featuring the GH100 chip manufactured on TSMC's 5 nm process. With 80,000 million transistors packed into an 814 mm² die, this SXM module targets high-performance computing deployments. The card operates with a base clock of 1095 MHz and a boost clock of 1755 MHz, drawing up to 700 W through an 8-pin EPS power connector, with a suggested power supply of 1100 W. It interfaces via PCIe 5.0 x16 and has no display outputs, confirming its compute-only orientation.

How It Compares

The H800 SXM5 occupies a distinct position in the benchmark database, holding a 50th percentile ranking among all GPUs. However, the nearestRivals array is empty, indicating that no direct competitor scores are available for a head-to-head comparison within the current dataset. This absence of rival data means that the H800's relative standing must be interpreted through its absolute specifications and architectural characteristics rather than through direct benchmark deltas.

Without nearest rival entries, the H800 SXM5 stands alone in the database's current snapshot. Its percentile placement at exactly 50 suggests it sits at the median of all tracked GPUs, though this figure is derived from the full GPU population, not from a curated set of comparable server accelerators. The lack of rival data points is notable, as it prevents the kind of percentage-based comparisons typically used to contextualize performance.

The empty benchmarks array further complicates direct numerical comparison. While the card's theoretical compute figures are substantial, the absence of measured workload scores means that its real-world standing relative to other accelerators must be inferred from its architectural parameters. This makes the H800 SXM5 something of an unknown quantity in practical terms, despite its impressive on-paper specifications.

Ray Tracing and Feature Set

The H800 SXM5 does not list dedicated ray tracing cores in its specification sheet, and the API support fields for DirectX, OpenGL, and Vulkan are all null. This aligns with its server-focused positioning, where real-time graphics rendering is not a primary use case. The card is built around compute acceleration rather than rasterization or ray-traced workloads.

Instead, the H800 SXM5 emphasizes tensor processing capabilities. It features 528 tensor cores, which are dedicated to matrix operations essential for AI training and inference tasks. This hardware specialization, combined with the Hopper architecture's design goals, positions the card for deep learning and scientific computing rather than consumer graphics workloads. The FP16 throughput of 237.2 TFLOPS (at 4:1 ratio) highlights the card's strength in mixed-precision workloads typical of neural network training.

The architecture supports the Hopper generation's feature set, which includes enhancements for transformer models and large-scale parallelism. The 5 nm process node from TSMC enables the high transistor count, and the 80,000 million transistors contribute to the card's compute density. The lack of display outputs confirms that all silicon resources are directed toward computation, with no video encoding or rendering pipeline included.

Benchmark Performance

Benchmark results for the H800 SXM5 are not yet populated in the database, with an average benchmark score of 0 and an empty benchmarks array. This absence of measured scores means that performance analysis must rely on theoretical peak figures and architectural comparisons. The FP32 compute rating of 59.30 TFLOPS provides a baseline for single-precision workloads, while the FP16 figure of 237.2 TFLOPS (4:1) indicates substantial acceleration for tensor operations.

The pixel rate of 42.12 GPixel/s and texture rate of 926.6 GTexel/s are derived from the shading units and ROPs, though these metrics are somewhat academic for a card without display outputs. The shading units number 16,896, with 528 TMUs and 24 ROPs, which are lower ROP counts than typical consumer GPUs but consistent with compute-focused designs where pixel throughput is less critical.

The 50th percentile ranking among all GPUs suggests that, based on the database's aggregate scoring, the H800 SXM5 performs at the median of all tracked graphics cards. This is a curious placement given the card's server orientation and high-end specifications, and it may reflect the database's weighting of consumer gaming benchmarks over compute workloads. Without nearestRivals deltas, it is impossible to state precise percentage advantages or deficits against specific competing accelerators.

FAQ

Q: What is the manufacturing process for the NVIDIA H800 SXM5?

A: The H800 SXM5 is built on a 5 nm process node at TSMC, with the GH100 chip containing 80,000 million transistors on an 814 mm² die.

Q: How much memory does the H800 SXM5 have and what type is it?

A: The card features 80 GB of HBM3 memory with a 5120-bit bus width, providing a total bandwidth of 3.36 TB/s.

Q: What are the clock speeds of the H800 SXM5?

A: The base clock is 1095 MHz, the boost clock is 1755 MHz, and the memory clock operates at 1313 MHz with 5.3 Gbps effective speed.

Q: Does the H800 SXM5 support ray tracing?

A: No dedicated ray tracing cores are listed in the specifications, and API support for DirectX, OpenGL, and Vulkan is not provided, indicating a compute-only design.

Q: What power requirements does the H800 SXM5 have?

A: The card has a TDP of 700 W, uses an 8-pin EPS power connector, and requires a suggested power supply of 1100 W.

Q: When was the NVIDIA H800 SXM5 released?

A: The release date is March 20, 2023, and the production status is currently listed as active.

Memory Subsystem

The H800 SXM5's memory subsystem is built around 80 GB of HBM3 memory, which is a significant capacity for large-scale compute workloads. The 5120-bit bus width is notably wide, enabling the memory controller to move substantial amounts of data per cycle. This configuration yields a total bandwidth of 3.36 TB/s, which is critical for feeding the card's compute units in memory-bound applications.

The HBM3 type represents the latest generation of high-bandwidth memory at the time of release, offering improvements over previous HBM generations in both capacity per stack and data transfer rates. The memory clock of 1313 MHz with 5.3 Gbps effective speed reflects the high-speed signaling used to achieve the overall bandwidth figure.

For high-resolution workloads, the 80 GB capacity allows for large datasets and model parameters to reside in on-card memory, reducing the need for frequent host-to-device transfers. The 3.36 TB/s bandwidth ensures that data can be fed to the 16,896 shading units and 528 tensor cores at sufficient rates to avoid stalls. This is particularly relevant for AI training scenarios where large batches of high-dimensional tensors need to be processed continuously. The combination of capacity and bandwidth positions the H800 SXM5 for workloads that exceed the memory limits of smaller accelerators, though the lack of display outputs means that "high resolutions" in a graphics sense are not applicable. Instead, the memory subsystem is optimized for compute density and sustained throughput in server environments.