NVIDIA H100 PCIe 80 GB
NVIDIA graphics card specifications and benchmark scores
Tensor CoresAt a Glance
NVIDIANVIDIA H100 PCIe 80 GB Specifications
H100 PCIe 80 GB GPU Core
Shader units and compute resources
The NVIDIA H100 PCIe 80 GB GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
H100 PCIe 80 GB Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the H100 PCIe 80 GB's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The H100 PCIe 80 GB by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's H100 PCIe 80 GB Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The H100 PCIe 80 GB's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
H100 PCIe 80 GB by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the H100 PCIe 80 GB, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
H100 PCIe 80 GB Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA H100 PCIe 80 GB against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
H100 PCIe 80 GB Ray Tracing & AI
Hardware acceleration features
The NVIDIA H100 PCIe 80 GB includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the H100 PCIe 80 GB capable of delivering both stunning graphics and smooth frame rates in modern titles.
Hopper Architecture & Process
Manufacturing and design details
The NVIDIA H100 PCIe 80 GB is built on NVIDIA's Hopper architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the H100 PCIe 80 GB will perform in GPU benchmarks compared to previous generations.
NVIDIA's H100 PCIe 80 GB Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA H100 PCIe 80 GB determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the H100 PCIe 80 GB to maintain boost clocks without throttling.
H100 PCIe 80 GB by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA H100 PCIe 80 GB are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA H100 PCIe 80 GB. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
H100 PCIe 80 GB Product Information
Release and pricing details
The NVIDIA H100 PCIe 80 GB is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the H100 PCIe 80 GB by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
H100 PCIe 80 GB Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA H100 PCIe 80 GB
How It Compares
The data places the NVIDIA H100 PCIe 80 GB at the 50th percentile among all GPUs tracked in the benchmark database. This is a neutral positioning, reflecting that the card is no longer at the forefront of performance rankings. Its nearestRivals list is empty, meaning the database does not currently hold direct comparative benchmark scores for adjacent products. Consequently, its standing is derived solely from its aggregate percentile, which indicates a mid-pack position relative to the entire field of GPUs.
Without rival entries, the H100 PCIe 80 GB must be assessed on its own architectural merits. It is built on the Hopper architecture, specifically the GH100 chip, fabricated on a 5 nm process at TSMC. The die measures 814 mm² and contains 80,000 million transistors, yielding a transistor density of 98.3 million per square millimeter. These figures establish it as a large, complex server-class processor, but the absence of direct rival scores means its competitive standing is defined by its percentile rank rather than head-to-head deltas.
The card is listed as end-of-life, with a predecessor in "Server Ada" and a successor in "Server Blackwell." This lifecycle context suggests it sits between generations in the server lineup. Its 50th percentile ranking aligns with a product that has been superseded, yet its hardware specifications—such as 14,592 shading units and 456 tensor cores—indicate substantial compute capacity that may still serve specific workloads. The lack of rival data means no percentage comparisons can be drawn, so the narrative focuses on the card’s internal characteristics and their implications.
Ray Tracing and Feature Set
The H100 PCIe 80 GB does not list a dedicated ray tracing core count in the FACT PACK; the rtCores field is null. This absence suggests that the card is not designed with consumer-oriented ray tracing acceleration in mind. Instead, it emphasizes tensor cores, with 456 units present. These tensor cores are critical for AI and machine learning workloads, leveraging the Hopper architecture’s capabilities. The fp16 performance is listed at 204.9 TFLOPS under a 4:1 ratio, indicating high throughput for mixed-precision operations common in neural network training and inference.
API support is notably sparse: the directx, opengl, and vulkan fields are all null. This means the card does not expose standard graphics APIs, reinforcing its role as a compute accelerator rather than a rendering device. The display outputs field confirms this, stating "No outputs," so the H100 PCIe 80 GB cannot drive a monitor directly. It is a pure compute card intended for server environments where rendering is handled by other means or not required at all.
The fp32 performance is 51.22 TFLOPS, which is substantial for general compute tasks. The pixel rate is 42.12 GPixel/s, and the texture rate is 800.3 GTexel/s, though these metrics are more relevant to rasterization than to the card’s primary compute focus. The presence of 24 ROPs and 456 TMUs suggests some rasterization capability, but the null API fields and lack of display outputs make it clear that this is not a gaming or workstation graphics card. Its feature set is tailored for data center acceleration, with tensor cores and high FP16 throughput taking precedence over real-time ray tracing.
Memory Subsystem
The H100 PCIe 80 GB is equipped with 80 GB of HBM2e memory, a type chosen for its high bandwidth and capacity in compute scenarios. The bus width is 5120 bits, which is exceptionally wide, enabling a memory bandwidth of 2.04 TB/s. This bandwidth is a critical specification for memory-bound workloads such as large language model inference or scientific simulations, where data transfer rates often bottleneck compute throughput. The effective memory clock is 3.2 Gbps, with a base memory clock of 1593 MHz.
For high resolutions or large datasets, the 80 GB capacity is a significant advantage. It allows entire models or datasets to reside in VRAM without spilling to system memory, which is slower and introduces latency. The 2.04 TB/s bandwidth ensures that the GPU’s compute units can be fed with data at rates that match their processing speed. In practical terms, this means that tasks like training on high-resolution images or processing massive point clouds can proceed without frequent memory stalls.
The memory subsystem’s design is not aimed at gaming resolutions like 1080p or 4K, but rather at data center scales where memory footprint and bandwidth are paramount. The 5120-bit bus is a hallmark of HBM implementations, offering far greater parallelism than traditional GDDR solutions. While the card’s rendering capabilities are limited by its lack of display outputs, the memory subsystem is robust for compute tasks. The 80 GB capacity is particularly notable, as it exceeds many consumer GPUs by a wide margin, making it suitable for workloads that require both large working sets and high-speed access.
FAQ
Q: What is the memory size and type of the NVIDIA H100 PCIe 80 GB?
A: It has 80 GB of HBM2e memory with a 5120-bit bus width and 2.04 TB/s bandwidth.
Q: Does the H100 PCIe 80 GB support ray tracing?
A: No, the rtCores field is null, and the card does not list any ray tracing cores in its specifications.
Q: What is the FP32 performance of this card?
A: The FP32 performance is 51.22 TFLOPS, based on 14,592 shading units.
Q: Can this GPU output video to a display?
A: No, it has no display outputs, meaning it cannot connect to monitors directly.
Q: What is the process node and transistor count?
A: It is fabricated on a 5 nm process at TSMC, with 80,000 million transistors on an 814 mm² die.
Q: Is this card still in production?
A: No, its production status is listed as "End-of-life," with a successor in Server Blackwell.
Benchmark Performance
The benchmark data for the H100 PCIe 80 GB is minimal: the avgBenchmarkScore is 0, and the benchmarks array is empty. This means no specific performance scores are available for analysis, and the only quantitative measure is the percentileVsAllGpus value of 50. This percentile indicates that the card sits at the median of all GPUs in the database, but without scores, it is impossible to calculate exact deltas against rivals. The nearestRivals list is empty, so no percentage comparisons can be made.
In the absence of benchmark scores, the FP32 and FP16 figures provide a proxy for compute performance. The FP32 rate of 51.22 TFLOPS is derived from the shading units and boost clock of 1755 MHz. The FP16 rate of 204.9 TFLOPS under a 4:1 ratio highlights the tensor core efficiency, which is four times the FP32 throughput. These numbers suggest that the card excels in workloads that leverage tensor operations, such as deep learning, but the lack of benchmark confirmation means these are theoretical peak values rather than measured results.
The pixel rate of 42.12 GPixel/s and texture rate of 800.3 GTexel/s are also theoretical, based on the 24 ROPs and 456 TMUs respectively. These are low for a card with such a high shading unit count, which is typical for compute-focused accelerators. The 50th percentile ranking likely reflects that, while the card has immense compute power, it is not optimized for traditional graphics benchmarks that dominate the database. Thus, the performance analysis must rely on architectural specifications, with the percentile serving as a broad indicator of its standing relative to a diverse GPU landscape.
Who Should Consider It
The H100 PCIe 80 GB is designed for server environments, not consumer desktops. Its lack of display outputs and directx, opengl, and vulkan support means it cannot be used for gaming or standard workstation graphics. Instead, it targets workloads that require massive memory capacity and high compute throughput, particularly in AI and scientific computing. The 80 GB HBM2e memory and 2.04 TB/s bandwidth make it suitable for training large neural networks or processing datasets that exceed the memory limits of other GPUs.
For users working with FP16 or mixed-precision tasks, the 204.9 TFLOPS performance is a strong draw, especially in frameworks that utilize tensor cores. The 456 tensor cores are the heart of this card’s appeal, enabling accelerated matrix operations. The FP32 performance of 51.22 TFLOPS also supports traditional HPC simulations, though the card’s strengths are clearly aligned with AI workloads. The 5 nm process and 80,000 million transistors indicate a high-end part, but its end-of-life status means it is being phased out in favor of Server Blackwell.
Given the 50th percentile ranking, this is not a top-tier performer by current database standards, but its memory capacity is a differentiator. Users with memory-bound problems that exceed 48 GB or 64 GB might find this card useful, as the 80 GB capacity is uncommon. However, the lack of benchmark scores means potential buyers should verify performance for their specific applications. The card is best suited for data center operators or researchers who need large VRAM and high bandwidth, and who can work within a compute-only framework without display output.
The AMD Equivalent of H100 PCIe 80 GB
Looking for a similar graphics card from AMD? The AMD Radeon RX 7700 offers comparable performance and features in the AMD lineup.
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