699-2G193-0200-200 Nvidia L4 24GB GDDR6 PCIE 4.0 X16 Low Profile Fanless Graphics Processing Unit

Nvidia L4 699-2G193-0200-200 Overview

The 699-2G193-0200-200 Nvidia L4 24 GB GDDR6 PCIE 4.0 X16 Low Profile Fanless GPU represents a new era in versatile, high-efficiency computing. Tailored for low-power consumption and high computational throughput, this powerful graphics processing unit serves a wide range of professional workloads, including AI inference, machine learning, video processing, and data center acceleration. Its fanless, low-profile form factor enables integration into compact and power-constrained environments, making it ideal for edge computing, enterprise servers, and embedded systems.

Architecture and Core Technologies

Based on Nvidia Ada Lovelace Architecture

The Nvidia L4 leverages the Ada Lovelace GPU architecture, designed to deliver breakthrough performance per watt. This next-gen architecture features improved Tensor cores, Ray Tracing cores, and a more efficient streaming multiprocessor layout, providing an exceptional balance of speed and power efficiency. Compared to previous generations, the Ada architecture offers:

• Improved AI and inference acceleration
• Enhanced graphics rendering pipelines
• Up to 2x more energy efficiency
• Support for FP8, FP16, INT8, and BFLOAT16 formats

GDDR6 Memory Performance

Equipped with 24 GB of GDDR6 memory, the L4 ensures high-bandwidth data transfer with low latency, supporting massive datasets for AI training and inference workloads. The memory configuration allows professionals to run complex deep learning models, computer vision applications, and real-time video analytics without compromising speed or accuracy.

Bandwidth and Data Flow Optimization

The memory subsystem provides more than 300 GB/s of bandwidth, facilitating large matrix operations and 3D rendering tasks with ease. Advanced caching and memory partitioning techniques ensure optimal data throughput for concurrent processes.

Form Factor and Thermal Design

Low Profile, Passive Cooling

The 699-2G193-0200-200 GPU is purpose-built in a low-profile, single-slot design, ensuring seamless integration into 1U or 2U rack-mounted servers. The passive cooling design eliminates the need for an active fan, relying instead on system-level airflow, thereby reducing noise, power consumption, and potential points of failure.

Fanless Efficiency for Data Centers

Passive cooling is a key differentiator for data centers aiming for energy-efficient infrastructure. The fanless nature of this GPU aligns perfectly with hyperscale deployments where thermal budgets and power usage effectiveness (PUE) are critical.

PCIE 4.0 x16 Interface

Supporting the high-bandwidth PCI Express 4.0 x16 interface, the Nvidia L4 ensures faster data interchange with the host system. This translates into faster model loading, reduced inference latency, and better system scalability in multi-GPU configurations.

Use Cases and Industry Applications

AI Inference Acceleration

The Nvidia L4 excels in AI inference workloads, thanks to its efficient Tensor cores and large memory footprint. It enables real-time natural language processing, recommendation systems, and image recognition in edge and enterprise scenarios.

Healthcare and Medical Imaging

In medical applications, the GPU enables accelerated diagnostics, medical imaging analysis, and patient data pattern recognition. Its low-profile design is especially suitable for medical devices and compact diagnostic systems.

Retail and Smart Surveillance

Retail analytics and smart surveillance solutions benefit from the L4’s AI acceleration capabilities. Real-time facial recognition, customer behavior tracking, and security analytics can be efficiently processed at the edge with minimal power draw.

Financial Modeling and Fraud Detection

In the financial industry, this GPU accelerates real-time fraud detection algorithms, high-frequency trading simulations, and portfolio risk analysis with its AI-centric compute performance and low-latency architecture.

Media and Video Streaming

With support for AV1 encoding and decoding, the Nvidia L4 is ideal for video-intensive applications. It accelerates video transcoding, multi-stream broadcasting, and content delivery optimization, making it an excellent choice for video streaming platforms and cloud gaming providers.

Software Ecosystem and Compatibility

NVIDIA AI Enterprise Software Suite

The Nvidia L4 is fully compatible with the NVIDIA AI Enterprise software suite, providing developers with access to pretrained models, inference toolkits, and data science frameworks. This includes TensorRT, Triton Inference Server, RAPIDS, and DeepStream SDK.

CUDA and cuDNN Support

CUDA Toolkit and cuDNN compatibility ensure deep learning frameworks like TensorFlow, PyTorch, and MXNet run seamlessly on the L4. Developers can build, optimize, and deploy GPU-accelerated applications using familiar programming paradigms.

Virtualization and Cloud Deployments

The 699-2G193-0200-200 GPU supports virtual GPU (vGPU) technology, enabling hardware-based GPU partitioning for multi-user and multi-tenant environments. It is compatible with cloud-native containerization platforms like Kubernetes and Docker.

Power Efficiency and Performance Metrics

Low TDP for High-Performance Computing

The L4 boasts a typical TDP of around 72 watts, making it one of the most power-efficient GPUs in its class. This allows deployment in power-constrained environments without sacrificing performance, enabling organizations to scale compute resources without increasing energy costs.

Performance per Watt Leadership

Compared to similar GPUs in its segment, the Nvidia L4 offers best-in-class performance-per-watt, making it a favorite for green data center initiatives. This GPU enables substantial compute density and AI capability per rack unit.

Security and Reliability Features

Secure Boot and Hardware Root of Trust

For enterprise-grade deployments, the L4 supports secure boot, secure firmware updates, and root-of-trust security protocols. This ensures tamper-proof operations in mission-critical environments.

ECC Memory Support

Error-correcting code (ECC) memory is essential for applications requiring high reliability. The L4 ensures data integrity during memory-intensive computations such as simulation, training, or real-time analytics.

Deployment Environments and Scalability

Edge Deployments

The low-profile, passively cooled design makes this GPU highly effective for edge deployment in retail, factory, healthcare, and IoT environments. It offers AI and video processing capabilities in constrained physical spaces.

Enterprise Data Centers

Within enterprise data centers, multiple Nvidia L4 GPUs can be scaled across nodes, enhancing compute density and AI processing power. The card’s efficient design helps reduce operational expenditure while maximizing throughput.

High-Performance Computing Clusters

HPC clusters benefit from the modular integration of the L4 due to its PCIe 4.0 compatibility, low power draw, and AI-optimized cores. It accelerates workloads such as simulation, genomics, and advanced modeling.

Technical Specifications of 699-2G193-0200-200

• GPU Model: Nvidia L4
• Memory: 24 GB GDDR6
• Bus Interface: PCIe Gen 4.0 x16
• Cooling: Passive, fanless
• Form Factor: Low profile, single slot
• Thermal Design Power (TDP): 72W
• Architecture: Ada Lovelace
• Tensor Core Support: Yes (with FP8, FP16, BF16, INT8)
• vGPU Support: Yes
• Virtualization Ready: Yes
• Compute APIs: CUDA, DirectCompute, OpenCL

Compatibility and Integration Options

System Integration Versatility

Designed to integrate into diverse systems, the L4 is compatible with major server platforms, including HPE, Dell, Lenovo, Supermicro, and Inspur. It supports both Windows and Linux operating systems and is deployable across bare-metal or virtualized infrastructures.

Cloud Services Support

The Nvidia L4 can also be used in cloud-hosted environments such as AWS, Azure, and Google Cloud Platform, enabling hybrid cloud deployments and GPU-as-a-service models.

AI Workstation Integration

This GPU is also suitable for AI workstations requiring silent operation, high-density compute, and thermal efficiency. Developers and data scientists can use the L4 for model training, dataset preprocessing, and AI software testing.

The Nvidia L4 699-2G193-0200-200

Fanless Operation Without Performance Trade-off

For organizations seeking silent, thermally efficient GPUs without sacrificing performance, the L4 stands out with its passive cooling system. It ensures stable, continuous operation in noise-sensitive environments.

Long Lifecycle and Enterprise Reliability

Backed by Nvidia’s long-term support and enterprise validation, this GPU is designed for longevity. It features robust thermal design, ECC memory support, and a durable low-profile form factor.

IT and Data Center-Friendly Form Factor

With its compact, low-profile form and low power requirements, the L4 is IT-friendly and rack-ready for dense server configurations. This enables faster deployment and easier servicing.

Low Total Cost of Ownership (TCO)

Due to its exceptional energy efficiency, reduced cooling requirements, and scalable design, the Nvidia L4 provides a lower total cost of ownership compared to traditional GPUs while still delivering top-tier AI performance.