GEFORCE

NVIDIA H800 SXM5

NVIDIA graphics card specifications and benchmark scores

80 GB
VRAM
1755
MHz Boost
700W
TDP
5120
Bus Width
🤖Tensor Cores

NVIDIA H800 SXM5 Specifications

⚙️

H800 SXM5 GPU Core

Shader units and compute resources

The NVIDIA H800 SXM5 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.

Shading Units
16,896
Shaders
16,896
TMUs
528
ROPs
24
SM Count
132
⏱️

H800 SXM5 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the H800 SXM5'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 H800 SXM5 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1095 MHz
Base Clock
1,095 MHz
Boost Clock
1755 MHz
Boost Clock
1,755 MHz
Memory Clock
1313 MHz 5.3 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's H800 SXM5 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The H800 SXM5'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.

Memory Size
80 GB
VRAM
81,920 MB
Memory Type
HBM3
VRAM Type
HBM3
Memory Bus
5120 bit
Bus Width
5120-bit
Bandwidth
3.36 TB/s
💾

H800 SXM5 by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the H800 SXM5, 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.

L1 Cache
256 KB (per SM)
L2 Cache
50 MB
📈

H800 SXM5 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA H800 SXM5 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.

FP32 (Float)
59.30 TFLOPS
FP64 (Double)
29.65 TFLOPS (1:2)
FP16 (Half)
237.2 TFLOPS (4:1)
Pixel Rate
42.12 GPixel/s
Texture Rate
926.6 GTexel/s

H800 SXM5 Ray Tracing & AI

Hardware acceleration features

The NVIDIA H800 SXM5 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 H800 SXM5 capable of delivering both stunning graphics and smooth frame rates in modern titles.

Tensor Cores
528
🏗️

Hopper Architecture & Process

Manufacturing and design details

The NVIDIA H800 SXM5 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 H800 SXM5 will perform in GPU benchmarks compared to previous generations.

Architecture
Hopper
GPU Name
GH100
Process Node
5 nm
Foundry
TSMC
Transistors
80,000 million
Die Size
814 mm²
Density
98.3M / mm²
🔌

NVIDIA's H800 SXM5 Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA H800 SXM5 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 H800 SXM5 to maintain boost clocks without throttling.

TDP
700 W
TDP
700W
Power Connectors
8-pin EPS
Suggested PSU
1100 W
📐

H800 SXM5 by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA H800 SXM5 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.

Slot Width
SXM Module
Bus Interface
PCIe 5.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
🎮

NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA H800 SXM5. 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.

OpenCL
3.0
CUDA
9.0
📦

H800 SXM5 Product Information

Release and pricing details

The NVIDIA H800 SXM5 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 H800 SXM5 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
Mar 2023
Production
Active
Predecessor
Server Ada
Successor
Server Blackwell

H800 SXM5 Benchmark Scores

📊

No benchmark data available for this GPU.

About NVIDIA H800 SXM5

The NVIDIA H800 SXM5 is engineered for extreme compute performance, leveraging the full Hopper architecture and 5nm process to deliver unprecedented FP64 and FP32 tensor operations crucial for scientific simulation and AI research. With its 80 GB of ultra-fast HBM3 memory and a boost clock reaching 1755 MHz, this processor crushes massive datasets that would bring consumer GPUs to a standstill. The card's 700W TDP and SXM5 form factor are clear indicators of its data-center lineage, designed for maximum throughput in optimized server racks rather than conventional desktop cooling. For creators, this translates to near-instantaneous rendering of complex scenes and the ability to train gigantic AI models locally. The raw computational horsepower of the H800 makes it a tool for accelerating the most demanding creative algorithms, from physics-based simulations to high-fidelity neural rendering. Its architecture is purpose-built for the parallel workloads that define modern professional content creation.

When assessing content creation suitability, the H800 SXM5 GPU is a specialist powerhouse for studios pushing the limits of 8K video, cinematic VFX, and real-time ray-traced animation. The vast 80 GB frame buffer allows artists to work with billions of polygons in a viewport without constant swapping to system RAM, a common bottleneck in high-end production. Software suites like Blender, Autodesk Maya, and DaVinci Resolve can leverage its tensor cores to drastically speed up AI-assisted tasks such as denoising, upscaling, and object recognition. While a gaming GeForce card excels at real-time rasterization, this professional-grade accelerator is optimized for final-frame rendering accuracy and computational stability over extended periods. The NVIDIA H800 thrives in scenarios where time is money, turning overnight renders into tasks completed in mere hours. Its value is not in frames per second, but in projects completed per week, fundamentally changing the iteration speed for top-tier creators.

The professional certifications for this accelerator, including NVIDIA's rigorous validation for ISV applications, ensure unparalleled stability and performance in critical workflows. Drivers for the H800 are tuned and tested for professional DCC and CAD applications, guaranteeing compatibility and reliability that consumer-grade drivers cannot match. This certification from independent software vendors means studios can deploy these GPUs with confidence for large-scale render farms and mission-critical simulation workstations. The Hopper-based H800 is built to execute complex calculations with deterministic precision, a non-negotiable requirement for engineering and scientific visualization. This level of validation supports a seamless pipeline from asset creation to final output, minimizing costly downtime from software or driver conflicts. For a professional studio, these certifications are as vital as the raw hardware specifications, de-risking major technology investments.

Integrating the NVIDIA H800 into a workstation build requires careful consideration of power, cooling, and platform compatibility, as this is not a standard PCIe card. The SXM5 form factor necessitates a compatible server-style motherboard and a chassis with specialized infrastructure to handle the substantial 700W thermal design power with direct liquid cooling or massive airflow. A supporting ecosystem of enterprise-grade CPUs, such as AMD EPYC or Intel Xeon Scalable processors, and ample PCIe 5.0 lanes is mandatory to feed the beast without bottlenecking its data throughput. Building around this GPU means constructing a compute node tailored for sustained multi-GPU operation, often within a rack-mounted environment. The resulting workstation is less a traditional PC and more a personal supercomputer, capable of tackling simulation, rendering, and AI development tasks typically reserved for cloud clusters. For the creator or researcher with access to this level of hardware, the NVIDIA H800 SXM5 represents the ultimate local compute resource, redefining what is possible on a desktop.

The AMD Equivalent of H800 SXM5

Looking for a similar graphics card from AMD? The AMD Radeon RX 7600 offers comparable performance and features in the AMD lineup.

AMD Radeon RX 7600

AMD • 8 GB VRAM

View Specs Compare

Popular NVIDIA H800 SXM5 Comparisons

See how the H800 SXM5 stacks up against similar graphics cards from the same generation and competing brands.

Compare H800 SXM5 with Other GPUs

Select another GPU to compare specifications and benchmarks side-by-side.

Browse GPUs