490-BJRQ Dell 24GB Nvidia L4 PCIe 72-Watt Passive Single Wide GPU
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Highlights of Dell 24GB Nvidia GPU
Essential Product Details
- Brand Name: Dell
- Model Number: 490-BJRQ
- Component Type: Full Height Graphics Processing Unit
Advanced Technical Specifications
Design and Interface
- Slot Type: Single-slot, low-profile PCIe 4.0 x16
- GPU Architecture: Ada Lovelace
- Power Requirement: 72 Watts
- Power Interface: PCI Express
Core Processing Units
- CUDA Cores: 18,176
- Ray Tracing Cores: 60
- Tensor Cores: 240
Memory and Bandwidth
- Video Memory: 24GB GDDR6
- Data Transfer Rate: 300 GB/s
- Display Output: None
System Compatibility
Supported Dell PowerEdge Servers
Rack Servers
- PowerEdge R650
- PowerEdge R660
- PowerEdge R6615
- PowerEdge R6625
- PowerEdge R670
- PowerEdge R750
- PowerEdge R750xa
- PowerEdge R7515
- PowerEdge R7525
- PowerEdge R760
- PowerEdge R760xa
- PowerEdge R760xd2
- PowerEdge R7615
- PowerEdge R7625
- PowerEdge R770
Tower and Edge Servers
- PowerEdge T560
- PowerEdge XR11
- PowerEdge XR12
- PowerEdge XR4520c
- PowerEdge XR5610
- PowerEdge XR7620
Dell 490-BJRQ 24GB NVIDIA L4 PCIe 72-Watt GPU Overview
The Dell 490-BJRQ 24GB NVIDIA L4 PCIe 72-Watt Passive Single Wide Full Height GPU represents a cutting-edge solution designed to accelerate AI inferencing, deep learning, computer vision, and high-performance computing in enterprise and data center environments. Engineered for efficiency and scalability, this GPU offers superior performance in a compact, energy-efficient form factor, making it ideal for diverse workloads ranging from cloud-based AI applications to edge inferencing and video analytics. Built on the NVIDIA Ada Lovelace architecture, the L4 GPU brings a new level of processing capability, optimized memory capacity, and robust parallel processing power that enable organizations to unlock advanced AI capabilities with reduced power consumption and improved cost-effectiveness.
The single-wide, full-height design ensures broad compatibility with Dell PowerEdge servers and other enterprise-grade platforms, while its passive cooling mechanism enables deployment in high-density data centers without compromising performance or thermal stability. With PCIe Gen4 connectivity and 24GB of GDDR6 memory, the Dell 490-BJRQ GPU offers the bandwidth and computational throughput necessary for intensive machine learning workloads, real-time analytics, and high-fidelity rendering. This GPU is purpose-built for enterprises looking to modernize their data centers, accelerate AI-driven services, and deliver exceptional computing performance within tight power budgets.
Architecture and Core Technologies
At the core of the Dell 490-BJRQ GPU is the NVIDIA Ada Lovelace architecture, a next-generation GPU design that revolutionizes performance-per-watt efficiency and computational density. The Ada Lovelace architecture integrates enhanced CUDA cores, next-generation Tensor Cores, and improved RT Cores, enabling massive parallelism and real-time inferencing capabilities. The architectural improvements result in substantial performance gains over previous generations, making the L4 GPU a highly efficient solution for enterprise-scale AI and machine learning tasks.
The 24GB of high-speed GDDR6 memory enables rapid data access and storage, ensuring that large neural network models and complex datasets are processed without bottlenecks. The GPU also supports mixed-precision computing, allowing developers and data scientists to balance accuracy and performance depending on the workload requirements. Its PCIe Gen4 interface provides enhanced data transfer rates, ensuring seamless integration into modern server infrastructures and optimized communication between CPU and GPU resources.
Enhanced CUDA and Tensor Cores
The Dell 490-BJRQ GPU features advanced CUDA cores that significantly boost parallel processing performance. These cores are designed to handle the massive computational demands of modern AI and data science workloads, enabling faster training times and more efficient inferencing. Complementing the CUDA cores are NVIDIA’s latest-generation Tensor Cores, which are purpose-built for accelerating AI operations such as matrix multiplications and deep neural network computations. These Tensor Cores improve throughput and deliver superior performance for tasks such as natural language processing, recommendation systems, and computer vision.
The combination of CUDA and Tensor Cores provides a balanced architecture capable of handling a diverse range of AI workloads. Whether it’s real-time inferencing on video streams or large-scale training on complex datasets, the Dell 490-BJRQ GPU ensures consistent, high-performance execution while optimizing energy usage and system resources.
RT Cores and Real-Time Processing
NVIDIA’s RT Cores are integrated into the L4 GPU to deliver accelerated real-time ray tracing, enabling photorealistic rendering and simulation. Although primarily beneficial for visualization workloads, the RT Cores also enhance the performance of AI-driven simulations and digital twin applications by enabling more accurate modeling and faster rendering times. This makes the Dell 490-BJRQ GPU a versatile choice for industries requiring both computational and visualization capabilities, such as manufacturing, automotive, and architecture.
Performance and Efficiency for AI and Data Center Workloads
The Dell 490-BJRQ 24GB NVIDIA L4 GPU is engineered to deliver exceptional performance across a broad spectrum of enterprise workloads, all while maintaining an impressively low power envelope of just 72 watts. This balance of performance and efficiency makes it an attractive solution for data centers seeking to scale AI capabilities without significantly increasing energy consumption or cooling requirements. The GPU’s passive cooling design further enhances deployment flexibility, allowing multiple units to be installed in dense server configurations without compromising thermal performance.
With optimized support for deep learning inferencing, the L4 GPU accelerates tasks such as image classification, object detection, speech recognition, and recommendation systems. Its high memory capacity ensures that even large AI models can be processed efficiently, reducing latency and improving throughput. Moreover, its architecture is designed to support multiple simultaneous inference requests, making it ideal for cloud-based AI services and edge inferencing applications where responsiveness and scalability are critical.
AI Inference and Machine Learning Acceleration
The Dell 490-BJRQ GPU’s architecture is optimized for inference acceleration, enabling enterprises to deploy AI-powered applications at scale. Its high-performance Tensor Cores and mixed-precision computing capabilities allow inference tasks to be completed faster and more efficiently than with traditional CPU-based processing. This is particularly valuable in industries such as healthcare, finance, and retail, where real-time decision-making is essential.
The GPU’s ability to handle complex neural network models with low latency ensures that applications such as fraud detection, predictive analytics, and autonomous systems operate with maximum accuracy and speed. Organizations deploying AI at scale benefit from the L4 GPU’s power efficiency, which translates to reduced operational costs and improved sustainability metrics.
Video Analytics and Computer Vision
The Dell 490-BJRQ 24GB NVIDIA L4 GPU excels in video analytics and computer vision workloads, making it ideal for applications such as smart city infrastructure, retail analytics, and security surveillance. Its powerful parallel processing capabilities allow it to analyze multiple high-resolution video streams simultaneously, detecting objects, tracking movement, and generating actionable insights in real time. The GPU’s large memory capacity supports complex deep learning models used in advanced vision applications, while its efficient architecture ensures low latency and high throughput.
By accelerating video analytics workloads, the L4 GPU enables organizations to extract more value from visual data, improving decision-making and operational efficiency. Whether used in edge servers for localized processing or in centralized data centers for large-scale analytics, the Dell 490-BJRQ GPU delivers the performance and efficiency required for next-generation computer vision solutions.
Scalability and Deployment Flexibility
The Dell 490-BJRQ GPU is designed to meet the evolving needs of modern data centers, offering scalability and deployment flexibility that support diverse application requirements. Its single-wide, full-height design allows multiple GPUs to be installed in a single server chassis, enabling organizations to scale compute capacity as their AI and HPC demands grow. The passive cooling solution further enhances scalability by reducing the need for complex cooling systems, making it easier to deploy GPUs in dense configurations.
PCIe Gen4 connectivity ensures seamless integration with modern server platforms, providing the bandwidth necessary for high-performance computing and rapid data transfer. The L4 GPU is compatible with a wide range of Dell PowerEdge servers and can be easily integrated into existing infrastructure, minimizing deployment complexity and maximizing return on investment.
Integration with Dell PowerEdge Servers
Dell has optimized the 490-BJRQ GPU for compatibility with its PowerEdge server lineup, ensuring reliable performance and simplified deployment in enterprise environments. PowerEdge servers provide the thermal, power, and mechanical support needed to maximize the GPU’s capabilities, creating a synergistic hardware environment that enhances performance and stability. This tight integration also simplifies management and monitoring, enabling IT administrators to optimize GPU utilization and system performance across the data center.
Deploying the Dell 490-BJRQ GPU within a PowerEdge server ecosystem ensures that organizations can quickly scale AI capabilities and deploy new workloads without the need for significant infrastructure modifications. The result is a future-proofed data center capable of supporting current and emerging AI applications.
Thermal Design and Passive Cooling Efficiency
Thermal efficiency is a critical consideration in high-density data center deployments, and the Dell 490-BJRQ GPU addresses this challenge with a sophisticated passive cooling design. Unlike active cooling solutions that rely on dedicated fans, passive cooling leverages server airflow to dissipate heat, reducing mechanical complexity and improving system reliability. This approach allows for quieter operation, lower maintenance requirements, and increased deployment density, as multiple GPUs can be installed without the added space and power demands of active cooling systems.
The passive cooling design is particularly advantageous in hyperscale data centers and edge deployments where space, power, and cooling resources are limited. It also contributes to the GPU’s impressive 72-watt power envelope, ensuring that performance remains high while power consumption and operating costs remain low. This efficiency makes the Dell 490-BJRQ GPU an ideal choice for organizations seeking to balance performance, scalability, and sustainability in their data center operations.
Enterprise Use Cases and Applications
The versatility and performance of the Dell 490-BJRQ 24GB NVIDIA L4 PCIe GPU make it suitable for a wide range of enterprise applications, from AI inference and deep learning to data analytics and virtualization. Its efficient power profile and scalable architecture allow it to support diverse workloads across industries, enabling organizations to accelerate innovation and improve operational efficiency.
Cloud-Based AI Services
Cloud service providers can leverage the Dell 490-BJRQ GPU to deliver AI and machine learning capabilities to clients on demand. Its efficient performance-per-watt enables cost-effective scaling, while its robust architecture ensures that services remain responsive and reliable under heavy load. This makes the GPU ideal for AI-as-a-Service (AIaaS) platforms, machine learning APIs, and other cloud-based offerings.
Edge Computing and AI Inferencing
In edge computing environments, where latency and power efficiency are critical, the Dell 490-BJRQ GPU provides the computational power necessary to process data locally and in real time. Its compact form factor and passive cooling design enable deployment in space-constrained edge devices, while its high-performance cores ensure that AI models can be executed quickly and accurately. This makes it suitable for applications such as autonomous systems, industrial automation, and IoT analytics.
High-Performance Computing and Simulation
The Dell 490-BJRQ GPU’s parallel processing capabilities make it well-suited for high-performance computing workloads, including scientific simulations, computational fluid dynamics, and financial modeling. Its ability to handle large datasets and complex mathematical calculations enables researchers and engineers to achieve faster results and gain deeper insights. Additionally, its support for real-time rendering and visualization enhances workflows in industries such as engineering, media production, and healthcare.
Memory Capacity and Data Throughput
With 24GB of GDDR6 memory, the Dell 490-BJRQ GPU offers ample capacity for handling large AI models, complex datasets, and high-resolution media. This memory capacity ensures that even demanding workloads can be executed without performance degradation due to memory constraints. The high bandwidth of GDDR6 memory enables rapid data transfer, reducing latency and improving overall system responsiveness.
The combination of high-capacity memory and efficient data throughput ensures that the GPU can handle multiple concurrent workloads, making it ideal for multi-tenant environments and shared computing platforms. This is particularly important in cloud and data center environments, where resource utilization and workload efficiency directly impact performance and cost.
PCIe Gen4 Connectivity and Future-Proof Infrastructure
The Dell 490-BJRQ GPU features a PCIe Gen4 interface, which provides double the bandwidth of the previous generation and enables faster communication between the GPU and other system components. This enhanced connectivity is critical for data-intensive applications, ensuring that the GPU can access and process data as quickly as possible. It also provides the scalability necessary to support future workloads, making the L4 GPU a future-proof investment for organizations looking to modernize their data centers.
PCIe Gen4 also enhances compatibility with modern server platforms and storage solutions, ensuring that the GPU can be easily integrated into new and existing infrastructure. This flexibility reduces deployment complexity and shortens time-to-value, allowing organizations to quickly realize the benefits of accelerated computing.
