NVIDIA L4 Tensor Core GPU – 24GB GDDR6
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  • Part number:NVIDIA L4 Tensor
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NVIDIA L4 Tensor Core GPU – 24GB GDDR6

Keywords

nvidia l4 gpu, 24gb vram inference, ada lovelace data center, tesla l4 replacement, low profile ai gpu, 72w tdp server gpu

Description

The [NVIDIA L4 Tensor Core GPU] is the modern successor to the highly popular Tesla T4, designed for energy-efficient AI inference, video transcoding, and graphics acceleration. Built on the Ada Lovelace architecture, it packs 24GB of GDDR6 ECC memory into a compact, single-slot low-profile form factor. With a power envelope of just 72W, it requires no external power cables, making it a "plug-and-play" solution for existing server infrastructure.

The [NVIDIA L4]  excels in generative AI workloads, offering up to 2.5x more performance than the T4. It is a world leader in video processing with dedicated hardware for AV1 encoding/decoding. It is ideal for data centers and edge deployments where space and power are constrained but high-throughput AI capabilities are required.


Key Features

  • Universal Acceleration: Optimized for AI, video, virtual workstations (vWS), and graphics.
  • 24GB ECC Memory: High-capacity memory for larger LLMs and context windows.
  • Ultra-Low Power: 72W TDP enables high-density deployments without upgrading power or cooling.
  • Advanced Video Engines: Dedicated hardware support for next-gen AV1 streaming.
  • Compact Form Factor: Single-slot, half-height, half-length (HHHL) design fits into almost any server.
  • Ray Tracing & Tensor Cores: Features latest-gen cores for professional visual computing and AI acceleration.

Technical Specifications

Component Specification Details
Architecture Ada Lovelace (4nm)
CUDA Cores 7,424+
Memory 24 GB GDDR6 with ECC
Memory Bandwidth 300 GB/s
FP32 Performance Approx. 30 TFLOPS
Interface PCIe 4.0 x16
Thermal Solution Passive (Requires server airflow)

Use Cases

  • AI Inference: Deploying medium-sized LLMs (7B-14B parameters).
  • Video Transcoding: High-density AV1 or H.265 encoding for live platforms.
  • VDI & Cloud Graphics: Remote 3D design and CAD via NVIDIA RTX vWS.
  • Edge AI: Small-form-factor industrial and smart city applications.

Frequently Asked Questions

Q1: How does the L4 compare to the RTX 4090 for AI?
A1: While the RTX 4090 has higher peak performance, the L4 is built for 24/7 data center reliability, uses much less power (72W vs 450W), and comes with enterprise drivers and support.

Q2: Can I run Llama 3 on a single L4?
A2: Yes, a single 24GB L4 can comfortably run Llama 3 8B or 14B models with significant room for large context windows or batching.

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