Is the RTX Pro 6000 Better Than the L40S?

Q: Is the RTX Pro 6000 better than the L40S for AI inference and training?

For most training and inference the RTX Pro 6000 outperforms the L40S on a single card, thanks to double the memory (96GB vs 48GB), higher bandwidth, and Blackwell FP4, though the lower-power L40S can still suffice when 48GB is enough.

Explore GPU servers

The RP6000 wins when models, training jobs, or batches exceed 48GB on one card, when Blackwell FP4 throughput is valuable for inference, or when consolidating several L40S cards onto fewer, larger-memory GPUs. Its GDDR7 bandwidth (1.79 TB/s vs 864 GB/s) also helps memory-bound inference and training.

An L40S-class card can still be the right fit for inference and fine-tuning that comfortably fit in 48GB, or for power- and density-constrained fleets where roughly 350W per card matters more than peak per-card capability.

OpenMetal carries the RP6000 (not the L40S) and delivers it as single-tenant bare metal with fixed monthly pricing and included egress, so sustained training and always-on serving avoid metered GPU-hour costs. For bandwidth-bound large-scale training, the H200’s HBM3e is the higher tier.