NVIDIA L4 24GB GDDR6 PCIe 4.0 – Dell PowerEdge R760 / R650

The NVIDIA L4 24GB GDDR6 PCIe 4.0, configured for Dell PowerEdge R760 and R650 platforms, is built on NVIDIA's Ada Lovelace architecture and delivers exceptional versatility across AI inference, video transcoding, virtual workstation, and data analytics workloads. With 7,680 CUDA cores, 240 fourth-generation Tensor cores, and 58 third-generation RT cores, the L4 achieves a remarkable balance of compute density and power efficiency within a single-slot, 75W passive form factor — making it one of the most deployment-friendly accelerators available for enterprise rack environments.

The L4's 24GB GDDR6 memory pool, operating at 300 GB/s bandwidth, is large enough to hold substantial AI models entirely on-device, enabling low-latency inference for large language model serving, computer vision pipelines, and recommendation engines. NVIDIA's fourth-generation NVENC and third-generation NVDEC engines allow the card to handle multiple simultaneous 4K and 8K video streams for media and entertainment or streaming analytics use cases. The card's PCIe 4.0 x16 interface ensures it integrates seamlessly into the high-throughput I/O architecture of the Dell PowerEdge R760 and R650 server platforms without requiring additional power connectors.

Designed explicitly for hyperscale and enterprise datacenter deployment, the L4 supports NVIDIA's full software ecosystem including CUDA 12.x, TensorRT, Triton Inference Server, and the NVIDIA AI Enterprise software suite. Its passive cooling design is optimized for the forced-air thermal environments of standard 1U and 2U rack servers, and multiple L4 cards can be installed within a single host system where slot and power budget allow, enabling flexible scale-out inference infrastructure without the space or power overhead of larger accelerators.

Ideal for

• Large-scale AI inference serving for NLP, computer vision, and recommendation models in production datacenter environments
• High-density video transcoding supporting multiple concurrent 4K and 8K streams for media, broadcast, and streaming analytics platforms
• Virtual GPU (vGPU) deployment for GPU-accelerated virtual workstations and virtual desktop infrastructure across enterprise user populations
• Real-time data analytics and machine learning inference at the edge of corporate datacenter racks where power and space are constrained
• Multi-tenant cloud service provider GPU resource pooling leveraging MIG-compatible workload isolation across diverse enterprise tenants
• Accelerated scientific computing and simulation workloads in life sciences, financial modelling, and engineering design environments

Technical specifications

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