NVIDIA L4 GPU capacity in India.
Monthly L4 capacity for inference, video processing and computer-vision workloads that fit within 24GB per card.
- Monthly price
- One allocated L4 GPU card for one month.
- System details
- Exact variant, card count, host CPU, RAM, storage, network, location and topology.
The 24GB limit is the decision.
A model can load on L4 and still run out of memory when context, cache or concurrency rises. Size the runtime, not only the weights.
Can two L4 GPUs act as one 48GB GPU?
No. Each L4 has its own 24GB memory pool. A framework can distribute work across two cards, but it must handle partitioning and communication explicitly.
Is L4 suitable for production inference?
Yes when the model, precision, context, batch and concurrency fit inside the usable runtime memory and meet an agreed throughput target.
When should I move from L4 to L40S?
Evaluate L40S when one card needs more than 24GB or the workload benefits from a larger visual-compute and media resource envelope.
Can L4 be used as a virtual GPU?
The hardware supports virtual-workstation use cases, but the quote must state the host, tenancy, NVIDIA software profile and licence boundary actually supplied.