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NVIDIA

NVIDIA 900-2G193-0000-000 | L4 Ada Lovelace GPU, 24GB GDDR6, 72W TDP, Single-Slot

SKU:900-2G193-0000-000

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$4,400.94 inc. GST
$4,000.85 ex. GST
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Description

The NVIDIA L4 is a low-profile, energy-efficient Tensor Core GPU powered by the Ada Lovelace architecture, designed for AI inference, video processing, graphics virtualization, and data center workloads. With 24GB of GDDR6 memory, 7680 CUDA cores, and a 72W TDP, the L4 delivers universal acceleration in a compact single-slot form factor. Ideal for edge servers, cloud environments, and data centers requiring high throughput and low latency with minimal power consumption.

Features

NVIDIA Ada Lovelace architecture with 5nm process technology
- 4th-generation Tensor Cores with FP8 precision for AI inference acceleration
- 3rd-generation RT Cores for real-time ray tracing and graphics rendering
- NVIDIA DLSS 3 (Deep Learning Super Sampling) for enhanced graphics performance
- Support for NVIDIA vGPU, vPC, and vApps for desktop virtualization
- Secure Boot with Root of Trust for enhanced data center security
- ECC memory support for error correction in mission-critical applications
- Multi-stream video encode/decode (2x NVENC, 4x NVDEC, 4x JPEG)
- PCIe Gen4 x16 interface with 64 GB/s bidirectional bandwidth
- Single-slot, low-profile form factor for high-density server deployments
- Fanless passive cooling for silent operation and reduced maintenance
- 72W TDP for energy-efficient AI and video workloads
- Support for NVIDIA CUDA, cuDNN, TensorRT, and RAPIDS libraries
- Compatible with Linux, Windows Server, VMware vSphere, and other hypervisors

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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Technical Specifications

FAQs

Technical Specifications

GPU Architecture: NVIDIA Ada Lovelace (AD104)
- Memory: 24GB GDDR6 with ECC support, 192-bit memory interface
- Memory Bandwidth: 300 GB/s
- CUDA Cores: 7680
- Tensor Cores: 240 (4th generation)
- RT Cores: 60 (3rd generation)
- Base Clock: 795 MHz
- Boost Clock: 2040 MHz
- Max FP32 Performance: 31.3 TFLOPS
- TDP: 72W (maximum thermal design power)
- Video Encode/Decode: 2x NVENC, 4x NVDEC, 4x JPEG decoders
- Form Factor: Single-slot, low-profile, fanless passive cooling
- Interface: PCIe Gen4 x16 (64 GB/s bidirectional bandwidth)
- Display Connectors: None (vGPU-only design for data center use)
- Dimensions: 167.6 x 68.6 mm (approx.)
- Operating Temperature: 0°C to 50°C (32°F to 122°F)

FAQs

Q: What workloads is the NVIDIA L4 GPU optimized for?
A: The NVIDIA L4 is designed for AI inference, generative AI, video transcoding and streaming, virtualized desktops (VDI), cloud gaming, virtual workstations, and graphics rendering. Its low power draw and compact form factor make it ideal for edge deployments and dense server configurations.

Q: Does the L4 support multi-instance GPU (MIG) technology?
A: No, the NVIDIA L4 does not support MIG. However, it does support vGPU technology for virtual desktop infrastructure and GPU virtualization, enabling multiple users to share GPU resources for virtual workstations and remote graphics applications.

Q: What are the power requirements for the L4 GPU?
A: The L4 has a maximum TDP of 72W and can be powered entirely through the PCIe slot without requiring additional power connectors, making it suitable for a wide range of server platforms including edge and compact systems.

Q: Is the L4 compatible with NVIDIA CUDA and AI frameworks?
A: Yes, the L4 supports NVIDIA CUDA, TensorRT, RAPIDS, and major AI frameworks including PyTorch and TensorFlow. It also features 4th-generation Tensor Cores with FP8 precision support for accelerated AI inference workloads.

Q: What cooling solution does the L4 use?
A: The L4 uses a passive (fanless) thermal solution that relies on chassis airflow and server cooling infrastructure. This makes it ideal for data center and enterprise rack-mount servers with adequate airflow management.

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