PNY NVIDIA L40S 48GB PCIe Active GPU Accelerator

The NVIDIA L40S is a professional-grade GPU accelerator engineered for enterprise data centers, delivering 48GB of GDDR6 memory with a 576-bit memory interface optimized for high-throughput inference and compute workloads. Built on the Ada architecture, the L40S provides 18,176 CUDA cores and supports mixed-precision computation (FP32, TF32, BFLOAT16, FP16, INT8), enabling efficient scaling across AI/ML inference pipelines, large language model serving, and real-time analytics platforms.

The accelerator features PCIe Gen 4 connectivity with x16 lane support, delivering up to 432 GB/s memory bandwidth and 568 TFLOPS peak FP32 throughput. With an active cooling design rated for continuous operation in data center environments, the L40S integrates NVIDIA's enterprise software stack including CUDA 12.x, TensorRT optimization frameworks, and vLLM inference runtimes for production deployment across multi-GPU clusters.

Designed for hyperscale inference deployments, vision AI, recommender systems, and batch processing workloads, the L40S operates within a 320W thermal design power envelope, making it suitable for dense GPU cluster configurations in regional cloud infrastructure and enterprise AI platforms.

Ideal for

• Large language model inference serving with quantized model optimization and multi-user request batching
• Real-time computer vision pipelines for object detection, image classification, and video analytics at scale
• Recommender system inference with high-throughput embedding lookups and neural ranking models
• Batch processing for generative AI applications including image generation and synthetic data production
• Financial modeling and quantitative analysis with parallel matrix computations and risk simulation
• Data analytics acceleration for ETL pipelines and real-time OLAP query processing in data warehouses

Technical specifications

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