699-2G193-0200-201 Nvidia 24GB GDDR6 L4 Tensore Core PCIE Gpu

NVIDIA 699-2G193-0200-201 24GB GDDR6 PCIe GPU 

The NVIDIA 699-2G193-0200-201 L4 GPU represents a next-generation, energy-efficient, and high-performance computing solution designed to accelerate artificial intelligence (AI), deep learning, and data center workloads. Featuring 24GB of advanced GDDR6 memory and cutting-edge Tensor Core architecture, this full-height, single-wide, 72-watt PCIe graphics card delivers exceptional computational power while maintaining passive cooling efficiency for quiet and thermally optimized environments.

Power-Efficient Design and Advanced Architecture

Built on NVIDIA’s innovative Ada Lovelace architecture, the L4 GPU achieves unprecedented energy efficiency and high throughput for both inference and training tasks. It’s optimized for diverse workloads including AI inferencing, media processing, graphics rendering, and virtualization. With a 72-watt TDP and passive cooling system, it’s ideal for dense data center environments where power efficiency and heat management are critical.

24GB of GDDR6 memory for large model datasets

PCI Express Gen4 compatibility for maximum bandwidth

Passive cooling for silent and efficient thermal control

Single-wide full-height form factor for compact deployment

Memory Configuration and Bandwidth Performance

The 24GB GDDR6 memory configuration ensures superior performance for memory-intensive workloads. Its wide memory bus and high clock speeds enable faster data transfer, reducing bottlenecks during real-time computations. Developers and researchers benefit from smoother performance when handling complex AI models, high-resolution image processing, or large-scale simulation environments.

Optimized for Large Data Models

The L4 GPU efficiently processes multi-gigabyte AI datasets and video frames without latency, ensuring sustained throughput in demanding applications. This capacity supports machine learning inference, 3D rendering, and scientific visualization in modern enterprise infrastructures.

Tensor Core Acceleration for AI and Deep Learning

NVIDIA’s Tensor Core technology embedded within the L4 GPU accelerates matrix operations that are fundamental to neural networks. This results in enhanced performance for AI inference and training tasks, particularly in computer vision, natural language processing, and generative AI applications.

Efficient Mixed-Precision Operations

By leveraging FP8, FP16, INT8, and INT4 precision modes, the L4 GPU provides flexible computational options that optimize both performance and power consumption. Enterprises deploying large AI workloads benefit from faster turnaround times and reduced infrastructure costs.

FP8 precision for faster AI model inference

Mixed precision capabilities for optimal resource usage

Support for TensorRT and CUDA frameworks

Scalability in Data Center Deployments

The NVIDIA 699-2G193-0200-201 GPU is purpose-built for scalable deployment across multiple data center nodes. Its compact, single-slot form factor makes it easy to integrate within existing servers or cloud-based AI platforms. As part of NVIDIA’s extensive ecosystem, it integrates seamlessly with AI frameworks, containerized environments, and virtualization technologies.

Enterprise Integration

Compatible with the NVIDIA AI Enterprise software stack, the L4 GPU delivers a reliable foundation for developers and IT managers looking to deploy accelerated AI workloads. Its broad compatibility extends to VMware vSphere, Kubernetes, and popular deep learning frameworks such as TensorFlow and PyTorch.

Passive Cooling and Thermal Efficiency

The GPU’s passive cooling solution eliminates moving parts, resulting in quieter operation and lower maintenance requirements. This design improves overall reliability while allowing multiple GPUs to run concurrently within a server chassis without thermal throttling.

Optimized Airflow Design

With a full-height heatsink design, the L4 GPU maximizes airflow within rack-mounted systems. Its thermal profile ensures consistent operation in dense compute clusters, providing exceptional stability even under heavy computational loads.

Media Processing and Video Acceleration

Equipped with NVIDIA’s next-generation NVENC/NVDEC hardware codecs, the L4 GPU delivers real-time encoding and decoding for H.264, H.265, and AV1 formats. This capability enables efficient media transcoding, streaming, and AI-powered video analytics for industries ranging from broadcasting to security surveillance.

Support for 8K video processing

Hardware-accelerated encoding and decoding

Optimized for cloud-based media services

Compact and Versatile Form Factor

The single-wide, full-height PCIe design enables flexible installation across standard enterprise servers. Its compact build supports multi-GPU configurations within limited space, making it ideal for both cloud and edge computing environments.

Single-wide form factor for efficient space utilization

Standard PCIe 4.0 x16 interface

Full-height bracket for secure server installation

Compatibility with AI Frameworks

• TensorFlow and PyTorch for deep learning
• ONNX for cross-platform AI model interoperability
• OpenCV for computer vision and image analysis

Reliability and Enterprise-Grade Stability

The 699-2G193-0200-201 GPU is engineered to deliver continuous performance under demanding workloads. It includes ECC memory support for enhanced data accuracy, critical in scientific simulations and AI model training.

Data Integrity and Longevity

Error Correction Code (ECC) minimizes computational errors caused by radiation or voltage fluctuations, preserving data reliability in mission-critical environments.

Deployment Scenarios and Industries

Industries across healthcare, finance, retail, and telecommunications rely on the NVIDIA L4 for accelerating analytical workloads. Its low power consumption and high density make it suitable for edge data centers and AI inference nodes in remote environments.

Cloud and Edge Integration

Cloud service providers benefit from the GPU’s scalability and low total cost of ownership, while edge deployments leverage its compact design for AI inferencing near data sources.

Enhanced Security and Virtualization Features

Supporting NVIDIA vGPU and secure multi-instance GPU (MIG) technology, the L4 ensures isolation and performance predictability in multi-tenant environments. This capability enhances data protection while enabling simultaneous virtual workloads.

Future-Proof Investment for AI Infrastructure

As AI adoption grows across industries, the NVIDIA L4 GPU provides a cost-effective path toward future-ready infrastructure. Its combination of performance, scalability, and efficiency positions it as a cornerstone of next-generation data center and cloud deployments.