6KNWW Dell Nvidia 24GB GDDR6 PCIe Gen4 GPU

Dell 6KNWW NVIDIA 24GB GDDR6 PCIe Gen4 Ampere Passive Graphics Card Overview

The Dell 6KNWW NVIDIA 24GB GDDR6 PCIe Gen4 Ampere Passive Graphics Card is a high-performance, data-center-class GPU engineered to handle the most demanding professional and enterprise computing workloads. Built on the NVIDIA Ampere architecture, it offers groundbreaking acceleration for AI inference, scientific simulations, rendering, and cloud computing environments. With 24GB of high-speed GDDR6 memory, PCIe Gen4 bandwidth, and a passive cooling design, this GPU provides exceptional reliability and scalability for large-scale deployments in servers and workstations.

Advanced Nvidia Ampere Architecture

Next-Generation GPU Core Design

The Ampere architecture is a revolutionary advancement in GPU design, delivering double the performance and efficiency of its predecessor, the Turing generation. It features second-generation RT cores for real-time ray tracing, third-generation Tensor Cores for deep learning acceleration, and an improved CUDA core layout that enhances compute density. The architecture allows the Dell 6KNWW GPU to excel across professional visualization, AI training, and simulation workloads.

CUDA Cores for High-Performance Computing

Equipped with thousands of CUDA cores, the Dell 6KNWW NVIDIA Ampere Graphics Card enables massive parallel computation, allowing simultaneous execution of numerous threads. This design is critical for compute-intensive applications in fields such as computational fluid dynamics (CFD), molecular modeling, deep learning, and 3D rendering. The CUDA cores deliver superior performance per watt, enabling maximum throughput while maintaining power efficiency in data-center environments.

Enhanced Tensor Core Technology

The Ampere-based Tensor Cores are optimized for mixed-precision workloads, providing accelerated matrix operations essential for AI and machine learning. These cores support FP64, FP32, TF32, and INT8 formats, ensuring that data scientists and engineers can choose the right precision for their workloads without compromising performance. Tensor Cores provide significant boosts in deep neural network training and inference speed, reducing project turnaround times in AI research and deployment.

Second-Generation RT Cores for Ray Tracing

The Dell 6KNWW GPU also integrates advanced RT Cores for real-time ray tracing. These cores deliver photorealistic lighting, reflections, and shadows for rendering and visualization workflows. Professionals in architecture, VFX, and design industries can produce cinematic-quality images and simulations at unprecedented speed, merging artistic precision with technical power.

24GB GDDR6 High-Speed Memory Configuration

Memory Capacity and Bandwidth

With 24GB of ultra-fast GDDR6 memory, the Dell 6KNWW GPU ensures seamless handling of large datasets, complex scenes, and high-resolution rendering. The high bandwidth provided by GDDR6 technology facilitates rapid data transfer between GPU cores and memory, reducing latency and improving frame rendering times. This is crucial for AI inference workloads, data analysis, and 3D content creation where memory bottlenecks can limit performance.

Large Dataset Processing

Engineers and scientists working on data-intensive simulations, such as weather modeling, seismic analysis, or financial forecasting, can rely on the Dell 6KNWW for uninterrupted data throughput. The GPU’s large memory pool accommodates high-volume parallel tasks, ensuring that large models and computations run smoothly without the need for frequent data swapping between system RAM and GPU memory.

Memory Optimization in AI and Visualization Workloads

AI researchers benefit from the GPU’s optimized memory subsystem that supports advanced caching and reduced access latency. This ensures smooth training of neural networks and complex model iterations. Similarly, in visualization applications, such as rendering large architectural projects or animated films, the 24GB memory enables real-time preview and interactive editing without lag.

PCIe Gen4 Interface for High Data Throughput

Enhanced Connectivity and Speed

The Dell 6KNWW utilizes the PCIe Gen4 x16 interface, doubling the data transfer speed compared to PCIe Gen3. This improvement results in superior bandwidth between the GPU and CPU, ensuring that workloads involving large data streams, such as real-time AI inference or simulation, operate with minimal bottlenecks. PCIe Gen4 also enhances scalability for multi-GPU configurations, allowing enterprise users to deploy multiple cards efficiently in high-performance systems.

Backward Compatibility

Despite its advanced capabilities, the PCIe Gen4 interface is fully backward compatible with PCIe Gen3 motherboards. This ensures that existing systems can upgrade to the Dell 6KNWW GPU without hardware limitations, maintaining flexibility for organizations with diverse infrastructure setups.

Passive Cooling Design for Data Center Integration

Optimized for Server Environments

The Dell 6KNWW NVIDIA 24GB Ampere GPU features a passive cooling system designed specifically for data centers and rack-mounted servers. Unlike active cooling cards that rely on dedicated fans, the passive design uses the server’s airflow for heat dissipation, enhancing reliability and reducing moving parts. This makes it ideal for high-density installations where multiple GPUs operate under continuous workloads.

Reliability

The passive cooling mechanism ensures consistent thermal performance under heavy load. The card’s aluminum heatsink design maximizes surface area for efficient heat exchange. When integrated into data center racks with optimized airflow, the GPU maintains stable temperatures, extending its operational lifespan and ensuring continuous uptime for mission-critical applications.

Low Noise and Maintenance-Free Operation

The absence of onboard fans eliminates noise and reduces maintenance requirements, making this GPU a preferred choice for enterprise environments requiring quiet, reliable operation. It contributes to lower total cost of ownership (TCO) through reduced maintenance and energy costs while ensuring sustained peak performance.

Professional Performance and Enterprise Reliability

Certified for Professional Applications

The Dell 6KNWW NVIDIA Ampere GPU is certified and optimized for a wide range of professional software tools, including those from Autodesk, Dassault Systèmes, Adobe, and Siemens. These certifications ensure optimal performance, stability, and compatibility for tasks such as 3D modeling, visualization, simulation, and rendering. Certified drivers further enhance software reliability and minimize compatibility issues during production workloads.

ECC Memory

To ensure computational accuracy, the GPU includes ECC (Error-Correcting Code) memory, which detects and corrects single-bit errors in memory transactions. This feature is essential for critical applications in AI, medical imaging, and scientific computing, where data integrity cannot be compromised. ECC memory provides consistent and error-free operation even during prolonged runtime simulations or high-intensity rendering.

24/7 Operational Stability

Engineered for continuous workload environments, the Dell 6KNWW is built with enterprise-grade components rated for 24/7 uptime. It ensures uninterrupted processing for AI model training, data center operations, and cloud-based GPU computing. The GPU’s advanced thermal and voltage monitoring systems protect against overheating or power fluctuations, guaranteeing stable performance across extended workloads.

Inference and Real-Time Analytics

In AI inference applications, the Dell 6KNWW provides outstanding real-time processing for tasks such as image recognition, speech analysis, and recommendation systems. Its INT8 and FP16 precision capabilities deliver faster response times with minimal power consumption. Combined with PCIe Gen4’s high data throughput, it enables rapid deployment of AI-driven services across enterprise and edge environments.

Data Science and Predictive Modeling

For data scientists, the GPU accelerates data analytics and predictive modeling using NVIDIA’s RAPIDS suite, which brings GPU acceleration to Python-based analytics workflows. Tasks such as data wrangling, feature engineering, and model evaluation execute significantly faster than on CPU-only systems. This performance gain shortens the time from experimentation to actionable insights.

Photorealistic Rendering Performance

Powered by second-generation RT Cores and a vast CUDA core array, the Dell 6KNWW GPU delivers exceptional rendering performance for visualization and design. Whether it’s architectural visualization, animation, or virtual prototyping, this card supports physically based rendering (PBR) techniques that bring digital scenes to life with accurate lighting and shadow details. Rendering engines such as Autodesk Arnold, V-Ray, and OctaneRender achieve faster preview and final render times.

Simulation and Scientific Visualization

Engineers and scientists use the Dell 6KNWW for high-fidelity simulations, including CFD, finite element analysis (FEA), and electromagnetic simulations. Its computational precision and memory bandwidth make it ideal for handling complex simulation grids and large model sizes. Scientific visualization applications like ParaView and ANSYS Discovery benefit from GPU acceleration, transforming raw data into interactive 3D insights.

Immersive Environments

With its powerful Ampere architecture and large memory buffer, the Dell 6KNWW GPU can drive immersive virtual reality (VR) and augmented reality (AR) applications. It supports VR-ready performance for training, education, and industrial design simulations, ensuring low-latency and high frame rates for seamless user experiences.

Performance per Watt Optimization

One of the most significant advantages of the Ampere architecture is its energy efficiency. The Dell 6KNWW GPU is designed to deliver maximum computational performance with minimal power draw, reducing operational costs in large-scale installations. Its optimized voltage regulation and adaptive clocking features adjust power consumption dynamically, maintaining performance without unnecessary energy waste.

Lower Data Center Cooling Requirements

The passive cooling design not only enhances reliability but also contributes to lower cooling costs in data centers. By utilizing existing airflow systems, the GPU minimizes the need for additional fans or liquid cooling infrastructure, further reducing energy consumption and environmental impact.

Software Ecosystem and Developer

CUDA, OpenCL, and DirectCompute Compatibility

The Dell 6KNWW GPU fully supports NVIDIA CUDA, OpenCL, and DirectCompute frameworks, offering developers the flexibility to build and optimize GPU-accelerated applications across various programming environments. This makes it an ideal solution for developers working in AI, simulation, visualization, and computational research.

Nvidia SDKs and AI Libraries

Developers have access to NVIDIA’s comprehensive suite of software development kits (SDKs) and libraries, such as CUDA-X AI, cuDNN, TensorRT, and NCCL. These tools simplify integration, optimize GPU utilization, and enhance scalability across multi-GPU clusters. The GPU also supports containerized deployment through NVIDIA NGC, enabling quick access to pre-configured AI frameworks and HPC applications.

Virtualization and Cloud Integration

The Dell 6KNWW supports NVIDIA vGPU (virtual GPU) technology, allowing multiple virtual machines (VMs) to share GPU resources effectively. This makes it a powerful solution for cloud computing, remote visualization, and virtual desktop infrastructure (VDI) environments. Enterprises can deliver GPU-accelerated computing to remote users while maintaining centralized management and security.

Industry Applications and Use Cases

Data Centers and Cloud Providers

Data centers and cloud service providers deploy the Dell 6KNWW for large-scale GPU acceleration in AI inference, cloud rendering, and simulation-as-a-service offerings. Its passive cooling design, scalability, and PCIe Gen4 performance make it a cost-efficient choice for high-density server installations.

Engineering and Design

In engineering environments, the GPU supports CAD/CAM applications and simulation software, offering smooth modeling and real-time rendering capabilities. It enhances product development workflows in industries such as automotive, aerospace, and manufacturing by accelerating virtual prototyping and design verification.

Media and Entertainment

Studios in the media and entertainment sector use the Dell 6KNWW GPU for visual effects (VFX), video editing, and rendering tasks. Its 24GB of memory and high compute density enable artists to handle ultra-high-resolution assets and complex compositing in real time, improving production efficiency and output quality.