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NVIDIA L40S 48GB capacity

NVIDIA L40S GPU capacity in India.

Monthly L40S capacity for inference, fine-tuning, image generation, rendering and visual workloads that fit within 48GB per card.

₹55,000 per GPU card per month
Monthly price
One allocated L40S GPU card for one month.
System details
Exact variant, card count, host CPU, RAM, storage, network, location and topology.
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Official NVIDIA product render of the L40S accelerator
Memory
48GB GDDR6 ECC
Form
Dual-slot PCIe
NVLink / MIG
Not supported
Workload
Inference and visual AI
L40S and adjacent monthly GPU prices
GPUMemoryMonthly priceChoose when
L4 24GB 24GB GDDR6 ₹32,000per GPU card per month Efficient inference and video
L40S 48GBCurrent option 48GB GDDR6 ECC ₹55,000per GPU card per month Mixed AI and visual compute
RTX PRO 6000 96GB 96GB GDDR7 ECC ₹1,10,000per GPU card per month Visual AI and server graphics
L40S buying questions

48GB does not remove runtime limits.

Weights are only part of the memory budget. Context, batch, activations, KV cache and application overhead still decide whether the workload fits.

Choose L40S whenOne card needs 48GB and the workload mixes inference, fine-tuning, image, video, rendering or graphics.
Check another path whenThe workload requires NVLink, MIG, an HBM training topology or more than 48GB on one card.
Is L40S better than L4 for inference?

It can be when the workload needs more than 24GB or benefits from the larger L40S resource envelope. Test the same model, precision, context, batch and concurrency target.

Does L40S support NVLink or MIG?

No. NVIDIA lists NVLink and MIG as unsupported on L40S. Multi-GPU software must work without assuming those features.

Can L40S run rendering and visual AI workloads?

Yes, subject to the quoted driver, application support, remote-display path, host storage and licensing required by the actual workflow.

Does adding a second L40S create one 96GB memory pool?

No. Two cards remain separate memory devices unless the application explicitly partitions and coordinates the workload across them.

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