NVIDIA L20 48GB Ada Lovelace Tensor Core Inference GPU

AI inference and data center compute, with strong media processing. It serves trained models at scale, with 48GB to hold substantial production models, and its dedicated encode and decode engines accelerate video and image throughput for media-heavy and visual-AI workloads. It is the export-market inference member of NVIDIA's Ada Lovelace data center family.

They share the Ada Lovelace data center platform and 48GB of memory, but fill different roles. The L40 leans toward data center graphics, rendering, and virtual workstations; the L40S is tuned for higher AI compute, inference, fine-tuning, and smaller training; the L20 is the export-market card, configured to meet export thresholds and positioned for inference and media. If you are comparing them, the L20 is the export-tier inference option, the L40 and L40S the broad-market graphics and AI-compute cards.

Yes. The L20 is configured to meet US export performance thresholds, the Ada-generation counterpart to how the A800 and H800 serve export markets in their generations, though the L20 is positioned as an inference card rather than a detuned flagship. MillionMiner confirms destination suitability and the compliance position for your deployment in the quote, since this is export-market hardware.

No. The L20 is a passively cooled, headless data center card built for server airflow, not a desktop gaming card. Its role is data center inference, media processing, and compute, deployed in servers. It should be evaluated as data center hardware, not a gaming or workstation card.

It can handle lighter training and fine-tuning, but it is positioned for inference, and as an export-tier card it is not built for the largest-scale distributed training, which needs the HBM and data center NVLink fabric of the Hopper and Blackwell systems in this catalog. The L20's strengths are inference, model serving, and media compute; the flagships handle large training runs.

NVIDIA Ada Lovelace architecture, 48GB of GDDR6 with ECC, 864 GB/s memory bandwidth, 59.8 TFLOPS of FP32, Ada Lovelace Tensor cores supporting FP8, INT8, BF16, and FP16, a 96MB L2 cache, dedicated media engines (3 NVENC with AV1, 3 NVDEC, 4 NVJPEG), and 275W power in a passively cooled 2-slot full-height full-length form. MillionMiner confirms the full configuration, including CUDA and Tensor core counts, in the quote.

For media-heavy and visual-AI workloads, dedicated hardware encode and decode is a real advantage. The L20's three NVENC engines (with AV1 support), three NVDEC engines, and four NVJPEG engines offload video and image processing from the main compute, which suits video transcode, streaming, and visual-AI inference pipelines that process large volumes of media alongside model serving.

It lets the L20 hold substantial production inference models and large media workloads in memory. 48GB of GDDR6 with ECC is generous capacity for an inference card, and the ECC adds the data integrity data center workloads require. The large memory is part of what makes the L20 capable for serving larger models and handling demanding media pipelines.

As an Ada Lovelace export-market 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, media processing, or compute, and scale through the quote form. A MillionMiner specialist confirms the card, its condition, destination suitability, and the deployment, and will help resolve the L20-versus-L40-or-L40S 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.