NVIDIA L40S 48GB Ada Lovelace AI Data Center GPU

AI compute, primarily: AI inference and model serving at scale, model fine-tuning, smaller-scale and single-node training, and accelerated compute, while retaining strong rendering and graphics capability for mixed workloads. It is the AI-tuned member of NVIDIA's Ada Lovelace data center family, deliberately versatile, one card for inference, fine-tuning, and graphics-rich AI work.

They share the Ada Lovelace data center platform and 48GB of memory but are tuned differently. The L40 leans toward data center graphics, rendering, Omniverse, and virtual workstations. The L40S is tuned for higher AI compute throughput, positioned for inference, fine-tuning, and AI workloads, while still capable at graphics. If your priority is AI compute, the L40S fits; if it is graphics and virtualization, the L40 does. MillionMiner matches the right one to your workload.

Buyers often weigh the two for AI work, and the honest answer depends on the workload. The L40S is frequently a strong value path to AI inference and versatile compute on the Ada Lovelace platform. The A100, with HBM memory and strong FP64, retains advantages for memory-bandwidth-bound work, double-precision HPC, and heavier training. For inference and mixed AI workloads, the L40S is often the better value; for bandwidth-intensive HPC or larger training, the A100 or higher. MillionMiner will work through the comparison for your case.

No, and any listing suggesting so is misleading. The L40S is a passively cooled, headless data center card built for server airflow, not a desktop gaming card. Its role is AI inference, fine-tuning, compute, and rendering, deployed in servers. The "gaming" framing some listings carry should be disregarded; this is data center AI hardware.

Yes, for fine-tuning and smaller-scale or single-node training it is genuinely capable, that is part of its versatility. What it is not built for is the largest-scale distributed training across many GPUs, which needs the HBM and data center NVLink fabric of the Hopper and Blackwell systems in this catalog. The L40S handles inference, fine-tuning, and moderate training well; the flagships handle the largest training runs.

It lets the L40S hold substantial inference and fine-tuning models, larger AI workloads, and big rendering scenes for mixed work. 48GB of GDDR6 with ECC is generous capacity for an inference-and-compute card, and the ECC adds the data integrity data center and professional workloads require. The large memory is part of what makes the L40S versatile across AI and graphics.

NVIDIA Ada Lovelace architecture on a 4nm process, 48GB of GDDR6 with ECC, with high-throughput Ada Lovelace Tensor cores and RT cores, in a passively cooled, full-height, dual-slot data center form. Note it is a headless data center card. MillionMiner confirms the full configuration, including CUDA, Tensor, and RT core counts, Tensor throughput, memory bandwidth, and power, in the quote.

The A10 is a lighter single-slot inference and VDI card; the A30 is an inference-and-HPC card with HBM2 and FP64; the L40 is the graphics-and-virtualization-tuned 48GB Ada card; the L40S is the AI-compute-tuned 48GB Ada card. Above all of them, the Hopper and Blackwell systems are the large-scale training flagships. MillionMiner matches the card to the workload.

As an Ada Lovelace data center part, units may be new or secondary-market depending on availability. MillionMiner verifies each card and confirms its condition in the quote, the same discipline applied across the catalog's data center inventory. The exact condition is stated before you order.

Submit your workload, AI inference, fine-tuning, training, or mixed AI-and-graphics, and scale through the quote form. A MillionMiner specialist confirms the card, its condition, and the deployment, and will help resolve the L40S-versus-L40 or L40S-versus-A100 choice if relevant. Every unit is tested before shipment and shipped worldwide DDP with duties handled, with hosting in MillionMiner's own data centers available.