NVIDIA H200 NVL
NVIDIA graphics card specifications and benchmark scores
NVIDIA H200 NVL Specifications
H200 NVL GPU Core
Shader units and compute resources
The NVIDIA H200 NVL 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.
H200 NVL Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the H200 NVL'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 H200 NVL by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's H200 NVL Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The H200 NVL'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.
H200 NVL by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the H200 NVL, 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.
H200 NVL Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA H200 NVL 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.
H200 NVL Ray Tracing & AI
Hardware acceleration features
The NVIDIA H200 NVL 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 H200 NVL capable of delivering both stunning graphics and smooth frame rates in modern titles.
Hopper Architecture & Process
Manufacturing and design details
The NVIDIA H200 NVL 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 H200 NVL will perform in GPU benchmarks compared to previous generations.
NVIDIA's H200 NVL Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA H200 NVL 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 H200 NVL to maintain boost clocks without throttling.
H200 NVL by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA H200 NVL 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 H200 NVL. 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.
H200 NVL Product Information
Release and pricing details
The NVIDIA H200 NVL 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 H200 NVL by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
H200 NVL Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA H200 NVL handles parallel computing tasks like video encoding and scientific simulations.
About NVIDIA H200 NVL
The NVIDIA H200 NVL is an absolute beast when it comes to raw compute performance, flexing serious muscle with its 141 GB of HBM3e memory and a Geekbench OpenCL score of 305,608 points. Built on the cutting-edge 5 nm Hopper architecture, this GPU doesn't just handle heavy workloads it obliterates them, whether you're training massive AI models or running ultra-complex simulations. With a boost clock hitting 1785 MHz and a PCIe 5.0 x16 interface, data moves at lightspeed, minimizing bottlenecks in high-throughput environments. The 600W TDP might sound intense, but that's the price of delivering next-gen parallel processing power at this scale. This isn’t just an upgrade it’s a complete redefinition of what a data center GPU can do.
For video editing beasts working with 8K RAW or multi-layered timelines in DaVinci Resolve and Adobe Premiere Pro, the NVIDIA H200 NVL makes rendering feel instant. That mountain of 141 GB VRAM means you can cache entire projects in memory without sweating, and the HBM3e bandwidth keeps playback buttery smooth even with effects stacked ten deep. Real-time AI enhancements like noise reduction, upscaling, and scene detection fly by thanks to dedicated tensor cores optimized in the Hopper design. Whether you're color grading in HDR or exporting for IMAX, this card cuts export times like scissors through paper. It’s not just fast it’s “your render queue is now shorter than your coffee break” fast.
When it comes to enterprise features and software compatibility, this card plays elite. From full support for NVIDIA’s AI Enterprise suite to seamless integration with Kubernetes and VMware for virtualized GPU workloads, the H200 NVL is built for big-league infrastructures. Developers get CUDA, TensorRT, and support for major ML frameworks like PyTorch and TensorFlow, all optimized to leverage that insane memory bandwidth. Security? Locked in with hardware-based isolation and secure boot. NVIDIA’s H200 NVL graphics aren’t just for gamers pretending to be professionals they’re purpose-built for organizations pushing the limits of AI, HPC, and real-time analytics at scale.
The AMD Equivalent of H200 NVL
Looking for a similar graphics card from AMD? The AMD Radeon RX 7800M offers comparable performance and features in the AMD lineup.
Popular NVIDIA H200 NVL Comparisons
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