Gigabyte NVIDIA L40S 48GB GDDR6 PCIe Gen4 GPU Card

Brand: Gigabyte | Category: GPUs

SKU: GV-NL40S-48G | Part #: GV-NL40S-48G | MPN: GV-NL40S-48G

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The Gigabyte NVIDIA L40S 48GB GDDR6 PCIe Gen4 GPU Card (part number GV-NL40S-48G) addresses a specific and growing constraint in modern data centre deployments: memory bandwidth for large language model inference and training workloads. With 48GB of GDDR6 memory operating at 960 GB/s bandwidth, this card sits in a practical middle ground between consumer-class GPUs and the far more expensive HBM3e alternatives. For organisations scaling AI inference clusters without the budget or power footprint penalties of flagship accelerators, the L40S represents a deliberate choice rather than a compromise.

Gigabyte's engineering on the GV-NL40S-48G focuses on reliable data-centre deployment. The card uses a dual 6-pin plus 16-pin server-class power connector (12V-2x6 configuration), which is heavier than consumer PCIe power but lighter than the multi-connector designs found on higher-end accelerators. This connector topology reflects the card's intended audience: inference workloads running batched requests through pre-trained models, not frontier training runs. The GDDR6 memory, while less exotic than stacked HBM, offers predictable thermals and widely understood failure modes—both critical for sysadmins and AI infrastructure teams managing 100+ GPU clusters across multiple racks. Gigabyte's industrial cooling shroud and dual-slot form factor ensure the card integrates into standard 2U and 4U chassis without thermal surprises.

PCIe Gen4 interconnect provides 64 GB/s per direction of host connectivity, adequate for inference workloads where the model stays resident on the card and only input batches and output logits traverse the PCIe bus. This is not a card designed for frequent data shuffling or real-time model updates via PCIe—those scenarios belong on NVLink or newer InfiniBand-equipped platforms. The practical effect is that the Gigabyte L40S works in conventional server architectures without requiring specialized networking fabric, making it viable for enterprises currently built on Xeon+PCIe infrastructure. A single L40S card can serve hundreds of concurrent inference requests from a small language model, or dozens from a larger 7B–13B parameter model, depending on batch size and quantisation strategy.

In terms of platform density, the GV-NL40S-48G specification supports up to four cards per node in most server SKUs, yielding 192GB of total inference memory per 4U unit. This translates to practical throughput measured in thousands of tokens per second for moderately-sized models, or the ability to run multiple independent models in isolation on separate cards within the same chassis. Gigabyte's part number GV-NL40S-48G remains consistent across OEM and channel supply chains, reducing SKU fragmentation and simplifying procurement for teams managing heterogeneous GPU fleets. The NVIDIA L40S lineage benefits from mature driver support, broad framework compatibility (PyTorch, TensorFlow, vLLM, TensorRT), and a well-documented ecosystem of inference optimisation tools.

Organisations moving from CPU-only or single-GPU inference pipelines often land on the L40S as a first serious acceleration step. The 48GB memory footprint eliminates constant model quantisation debates for most open-source models under 34 billion parameters, while the price-to-memory ratio remains accessible for mid-market budgets. Whether deployed in a single 2U node for departmental AI services or scaled to dozens of nodes in a dedicated inference cluster, the Gigabyte L40S operates within the thermal and power envelopes of standard data-centre cooling systems—no exotic chiller infrastructure or 400A PDU circuits required.

Inference Platform Specifications

• Memory: 48GB GDDR6 with 960 GB/s bandwidth, suitable for models up to ~34B parameters without quantisation
• Interconnect: PCIe Gen4 x16, 64 GB/s per direction, sufficient for batch inference without requiring fabric upgrades
• Power: Dual 6-pin plus 16-pin server-class connector (12V-2x6), approximately 300W sustained at typical inference load
• Cooling: Dual-slot, dual-fan shroud; validated for standard 2U/4U racks with conventional facility air conditioning
• Density: Up to 4 cards per 4U node (192GB total), scaling to multi-node clusters without custom cabling or advanced networking
• Software Ecosystem: Full CUDA 12.x support, optimised for vLLM, TensorRT-LLM, PyTorch, and TensorFlow inference pipelines
• Part Number: GV-NL40S-48G; consistent OEM and channel availability across GCC and Asia-Pacific regions

Omnixon Global sources the Gigabyte NVIDIA L40S 48GB (GV-NL40S-48G) directly from regional distribution partners, providing enterprise-grade warranty, technical pre-sales support, and integration assistance for data-centre deployments across the UAE, broader GCC, and Asia. If your AI infrastructure roadmap requires inference acceleration with proven 48GB memory depth and PCIe Gen4 connectivity, contact our team to discuss volume availability, deployment timelines, and any custom configuration requirements. We welcome RFQ submissions for single-card orders through large-scale cluster builds.