PNY NVIDIA L4 24GB GDDR6 Low-Profile Data Center GPU

The NVIDIA L4 is a low-profile, single-slot PCIe Gen4 GPU built on the Ada Lovelace architecture, delivering 242 TOPS of INT8 inference performance within a 72W thermal design power envelope. Featuring 24GB of GDDR6 memory across a 192-bit bus, the L4 is purpose-engineered for high-density enterprise server deployments where space, power, and thermal constraints are primary considerations. Its single-slot, half-height form factor enables multiple GPUs to be installed per server node, substantially increasing per-rack inference throughput without requiring server redesigns.

The L4 integrates dedicated hardware acceleration across all major AI and media workloads simultaneously. A fourth-generation Tensor Core engine accelerates transformer-based models and computer vision inference, while a dedicated NVENC/NVDEC media engine supports multi-stream hardware-accelerated video transcoding in formats including H.264, H.265/HEVC, and AV1 encode. NVIDIA Virtual GPU (vGPU) software support enables the physical GPU to be partitioned into multiple virtual GPU instances, making the L4 a strong fit for virtual desktop infrastructure and multi-tenant cloud environments at scale.

PNY's TCSL4-PB implementation is offered in passive cooling configuration, relying on server chassis airflow, which is consistent with data center operational standards. The card supports PCIe x16 connectivity and is compatible with standard OCP and rack-mount servers from major brands. Launched in Q1 2024, the L4 addresses enterprise demand for an energy-efficient, versatile accelerator capable of handling AI inference, real-time video processing, and virtualized graphics workloads within a single, compact hardware footprint.

Ideal for

• Large-scale AI inference serving for natural language processing and computer vision models in data center environments where per-server GPU density is critical
• Multi-stream video transcoding and encoding pipelines leveraging hardware-accelerated AV1, H.265, and H.264 encode/decode for media and streaming platforms
• Virtual Desktop Infrastructure (VDI) deployments using NVIDIA vGPU software to deliver GPU-accelerated virtual workstations to multiple concurrent users from a single card
• Edge AI inference nodes in space- and power-constrained server configurations such as short-depth or blade-style chassis at enterprise edge locations
• Multi-tenant cloud service provider GPU virtualization, partitioning a single L4 into isolated virtual GPU instances for separate workloads or tenants
• Real-time video analytics and intelligent video surveillance processing, including object detection and classification inference on high-resolution multi-camera streams

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.