GPU processor NVIDIA L4 24GB GDDR6 PCIe 4.0 x16 Low-Profile

NVIDIA L4 24GB GDDR6 PCIe 4.0 x16 Low-Profile is a compact GPU designed for workstation and edge deployments where space is limited. It combines 24 GB of GDDR6 memory with a PCIe 4.0 x16 interface to deliver accelerated inference, video encode/decode, and general GPU-accelerated compute. The low-profile form factor enables integration into small workstations, rack servers with restricted slot heights, and edge appliances while providing substantial memory capacity for models, buffers, and high-resolution video workflows.

Advantages

The GPU provides a balance of memory capacity and compact size, allowing deployment in systems that cannot accommodate full-height cards. With 24 GB of GDDR6 memory, the card supports larger models and higher-resolution video buffers without frequent offloading to system memory. The PCIe 4.0 x16 interface ensures high bandwidth connectivity to the host system for data-intensive tasks. Thermal and mechanical design optimized for low-profile slots makes the card suitable for 1U/2U servers and small form-factor workstations.

Suitable for

• Edge AI inference and model deployment in constrained spaces
• Hardware-accelerated video encoding and decoding for streaming or transcoding
• Graphics-accelerated rendering and visualization on compact workstations
• Server-based inferencing and mixed CPU/GPU compute in rack or small servers

Key specifications

• Video memory: 24 GB GDDR6
• Interface: PCIe 4.0 x16
• Form factor: Low-profile (compact, reduced-height bracket)
• Primary workloads: AI inference, video encode/decode, GPU-accelerated compute
• Typical system integration: small form-factor workstations, edge appliances, rack servers with limited slot height

How to use

Install the GPU into an available PCIe 4.0 x16 slot or a compatible PCIe slot on the host motherboard, ensuring the low-profile bracket aligns with the chassis opening. Connect any required auxiliary power if present on the system and verify adequate airflow and cooling within the chassis. Install vendor-provided or operating-system-supported drivers and management tools to enable hardware acceleration for inference frameworks, video pipelines, or GPU-accelerated applications. Configure runtime settings in your AI framework or video software to target the GPU for processing workloads and monitor utilization and thermals during initial runs.

Recommendations

Use the card in systems with confirmed physical clearance for low-profile cards and ensure chassis airflow meets the cooling requirements of sustained inference or video workloads. For AI deployments, batch sizes and model memory footprints should be tested to make effective use of 24 GB of GDDR6. For video workflows, enable hardware encoder/decoder support in your media stack to reduce CPU load. Keep drivers and firmware up to date to maintain compatibility and performance.