Dell CGNVH Nvidia Ampere 24GB GDDR6 Passive Pcie Gen4 GPU Card
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Dell CGNVH Advanced Processing Architecture
Constructed upon Nvidia revolutionary Ampere microarchitecture, CGNVH this computational accelerator delivers exceptional parallel processing capabilities through its sophisticated structural design.
Products Information
- Brand: Dell
- Part Number: CGNVH
- Microsoft Direct: Compute API
- CUDA: 150 watt
Core Configuration Details
Parallel Computing Elements
- 9,216 FP32 CUDA parallel processing units
- Third-generation AI-optimized Tensor Cores
- 72 dedicated ray tracing acceleration cores
Precision Performance Metrics
Floating Point Computational Rates
- Single Precision (FP32): 31.2 TFLOPS processing capacity
- Tensor Float 32: Ranges between 62.5 to 125 TFLOPS
- Half Precision (FP16): Delivers 125 to 250 TFLOPS
- BFloat16: Maintains 125 to 250 TFLOPS performance
Data Transfer Specifications
- Memory bandwidth throughput: 600 GB/second
- Integrated Error Correction Code functionality
- PCI Express Generation 4 interface compatibility
Integer Operation Performance
AI Workload Acceleration
- Integer processing: 105 TOPS general performance
- INT8 precision: 250 to 500 TOPS computational speed
- INT4 precision: 500 to 1000 TOPS maximum throughput
Interface & Power Management
- PCIe 4.0 x16 lane interface connectivity
- 150 watt maximum power consumption rating
- Passive cooling thermal solution implementation
Programming Framework
- Nvidia CUDA parallel computing platform
- Microsoft Direct
- OpenCL and Open ACC framework compatibility
Hardware Integration Specifications
- Designed with passive thermal management, this single-width PCIe card maintains full-height, full-length form factor compatibility with standard server and workstation chassis.
Dell CGNVH Nvidia Ampere 24GB GDDR6 PCIe Gen4 GPU Cards
Discover the pinnacle of professional computing performance with Dell's CGNVH series Nvidia Ampere architecture GPU cards. Engineered specifically for enterprise environments, data centers, and high-performance computing applications, these 24GB GDDR6 PCIe Gen4 graphics cards represent the next evolution in computational power and efficiency. Featuring passive cooling solutions and built on Nvidia groundbreaking Ampere architecture, these GPUs deliver exceptional performance for the most demanding professional workloads.
Nvidia Ampere Architecture: Revolutionizing Compute Performance
At the heart of the Dell CGNVH series lies Nvidia Ampere architecture, representing a significant leap forward in GPU technology and computational efficiency. This third-generation Tensor Core architecture delivers unprecedented AI performance, while the enhanced CUDA cores provide substantial improvements in floating-point operations and integer calculations. The Ampere architecture's multi-instance GPU (MIG) technology allows a single GPU to be partitioned into multiple secure instances, maximizing utilization for diverse workloads.
Professional-Grade Memory Subsystem
The 24GB GDDR6 memory configuration in Dell CGNVH GPUs provides ample capacity for large datasets, complex models, and memory-intensive applications. With enhanced memory bandwidth and advanced error correction capabilities, these cards ensure data integrity and optimal performance across diverse professional use cases.
GDDR6 Memory Technology
Utilizing the latest GDDR6 memory technology, the Dell CGNVH GPUs deliver exceptional memory bandwidth that significantly outperforms previous GDDR5 and GDDR5X implementations. This high-speed memory interface ensures that computational units remain fed with data, minimizing bottlenecks and maximizing overall system performance in memory-bound applications.
Error Correction Code (ECC)
For mission-critical applications where data integrity is paramount, the Dell CGNVH GPUs feature ECC memory support. This technology automatically detects and corrects single-bit memory errors, preventing data corruption and ensuring computational accuracy in scientific research, financial modeling, and healthcare applications.
PCI Express 4.0 Interface
The PCIe Gen4 interface provides double the bandwidth of previous PCIe 3.0 implementations, enabling faster data transfer between the GPU and system components. This enhanced connectivity is particularly beneficial for applications involving large dataset transfers, multi-GPU configurations, and storage-intensive workloads where rapid access to system memory and storage is critical.
Passive Cooling Design for Enterprise Environments
The passive cooling solution in Dell CGNVH GPU cards represents a thoughtful engineering approach designed specifically for controlled environments where silent operation and reliability are essential. By eliminating moving parts, these cards provide enhanced reliability and reduced maintenance requirements in data center and enterprise deployments.
Advanced Thermal Management
Featuring an extensive aluminum heatsink with precision-engineered fins, the Dell CGNVH GPUs efficiently dissipate heat through natural convection and system airflow. The robust thermal design ensures consistent performance under sustained loads while maintaining operating temperatures within specified limits in properly ventilated server chassis.
Reliability and Longevity
By eliminating fan mechanisms, the passive cooling design significantly reduces potential points of failure, enhancing overall system reliability and mean time between failures (MTBF). This design approach makes Dell CGNVH GPUs particularly suitable for 24/7 operation in data centers, rendering farms, and computational research facilities where maximum uptime is critical.
Professional Applications and Use Cases
The Dell CGNVH Nvidia Ampere 24GB GDDR6 GPUs are engineered to excel across a wide spectrum of professional applications, delivering exceptional performance and reliability for demanding computational tasks.
High-Performance Computing (HPC)
Scientific research institutions, engineering firms, and academic organizations leverage the computational power of Dell CGNVH GPUs for complex simulations and numerical analysis. The high floating-point performance and large memory capacity enable researchers to tackle larger problems and achieve results faster than with traditional CPU-based systems.
Computational Fluid Dynamics
For CFD applications, the Dell CGNVH GPUs provide the necessary computational throughput to simulate complex fluid interactions, thermal dynamics, and aerodynamic properties. The high memory bandwidth ensures efficient processing of large computational grids and complex boundary conditions.
Virtualization and Cloud Gaming
The Dell CGNVH GPUs Nvidia virtual GPU (vGPU) technology, enabling multiple virtual machines to share physical GPU resources efficiently. This capability is particularly valuable for virtual desktop infrastructure (VDI), cloud gaming platforms, and application streaming services where GPU acceleration is required across multiple user sessions.
Cloud Gaming and Streaming
For gaming-as-a-service providers, the Dell CGNVH GPUs deliver the performance needed to render high-quality graphics for multiple simultaneous users. The passive cooling design reduces acoustic noise in data center environments while maintaining consistent frame rates and visual quality.
Video Editing and Color Grading
The high memory capacity enables smooth playback and editing of high-resolution video formats, including 8K footage, while the computational power accelerates effects processing and color grading operations in real-time.
3D Rendering and Animation
For 3D content creation, these GPUs provide the ray tracing performance and memory capacity needed for complex scenes with high-resolution textures and detailed geometry. The CUDA cores accelerate both viewport performance and final frame rendering in supported applications.
Technical Specifications and Compatibility
The Dell CGNVH Nvidia Ampere 24GB GDDR6 PCIe Gen4 GPU cards are designed with specific technical requirements and compatibility considerations to ensure optimal performance in target deployment environments.
Power Requirements and Connectors
These high-performance GPUs require adequate power delivery to operate at peak performance. The cards typically feature multiple PCIe power connectors and have specific power consumption profiles that must be accommodated by the host system's power supply unit.
Deployment Considerations and Best Practices
Successful deployment of Dell CGNVH Nvidia Ampere GPUs requires careful planning and adherence to best practices regarding system configuration, thermal management, and workload optimization.
CPU and Memory Pairing
To avoid CPU bottlenecks, systems should feature processors with sufficient core counts and clock speeds to keep the GPU fed with data. System memory capacity and speed should be appropriate for the target workloads, with consideration for datasets that may exceed GPU memory capacity.
Storage Subsystem Requirements
Fast storage solutions, including NVMe SSDs and high-performance RAID configurations, ensure rapid loading of assets and datasets. This is particularly important for applications involving large texture sets, video files, or scientific datasets.
Airflow Optimization
Chassis fan configuration should create sufficient static pressure to move air through the dense fin arrays of the GPU heatsinks. Dell provides specific CFM (cubic feet per minute) requirements and airflow direction recommendations for optimal cooling.
Environmental Considerations
Data center environmental conditions, including ambient temperature and humidity, directly impact cooling efficiency. Proper climate control and regular maintenance of air filtration systems ensure consistent thermal performance over the product lifecycle.
Multi-GPU Configuration
For applications requiring additional computational power, multiple Dell CGNVH GPUs can be deployed in compatible systems. Proper configuration ensures optimal performance scaling and thermal management in multi-GPU setups.
NVLink Connectivity
Selected models may support Nvidia NVLink high-speed interconnect technology, enabling direct memory sharing between GPUs. This capability is particularly beneficial for applications requiring memory capacity beyond that of a single GPU.
Nvidia Management Libraries
Support for Nvidia management libraries (NVML) enables programmatic monitoring and control of GPU parameters. System administrators can develop custom monitoring solutions or integrate with third-party data center management platforms.
