GS-GPU-06Engineering datasheet

NVIDIA L40S

Statusshipping
Verified2026-07-10

The L40S is NVIDIA's Ada Lovelace generation, air cooled PCIe accelerator: 48 GB of GDDR6 with ECC, 864 GB/s of bandwidth, no NVLink, and a 350 W ceiling in a standard dual-slot server card. It predates the Blackwell RTX PRO 6000 Server Edition by two years and remains in active production and wide OEM and channel distribution. It is the default air cooled PCIe workhorse GPU Smith specs into single node and small cluster inference builds under about eight GPUs when a model comfortably fits in 48 GB and budget or lead time rules out the newer, pricier Blackwell part.

48 GB GDDR6 ECC
Memory
864 GB/s
Memory bandwidth
733 TFLOPS
FP8 tensor · dense, 1,466 TFLOPS with sparsity
350 W
TDP
Dual-slot, passive
Form factor · 4.4 in x 10.5 in
PCIe Gen4 x16
Interconnect · no NVLink
Compute01/05
CUDA cores18,176
Tensor cores568 · 4th generation
RT cores142 · 3rd generation
FP3291.6 TFLOPS
TF32 tensor183 TFLOPS · 366 TFLOPS with sparsity
FP16 / BF16 tensor362 TFLOPS · 733 TFLOPS with sparsity
FP8 tensor733 TFLOPS · 1,466 TFLOPS with sparsity
RT core throughput209 TFLOPS
Memory02/05
Capacity48 GB GDDR6 · ECC
Bandwidth864 GB/s
MIGNot supported
Interconnect & form factor03/05
PCIeGen4 x16 · 64 GB/s bidirectional
NVLinkNot supported
Dimensions4.4 in x 10.5 in · dual-slot
Power connector16-pin
Video engines3x NVENC, 3x NVDEC · includes AV1 encode and decode
Display outputs4x DisplayPort 1.4a
Power & thermal04/05
Max power350 W
CoolingPassive · requires server chassis airflow
NEBSLevel 3 ready · telecom/edge deployment qualified
Platform & software05/05
vGPUSupported
Secure BootWith Root of Trust
MIGNot supported
Server densityUp to 8-10 GPUs per node · per reference OEM configs, e.g. Thinkmate QH16-24E9-10GPU
Field notes
  • No NVLink, same constraint as the RTX PRO 6000 Server Edition: any multi-GPU tensor-parallel split rides PCIe and the host, so plan L40S nodes as pipeline-parallel or one-model-per-GPU, not as a tensor-parallel training pod.
  • 48 GB is the real ceiling: a 70B model in FP8 needs at least two cards. The L40S is cost-effective for whatever fits on one card, roughly up to 30B-class in FP8 depending on context length and KV cache.
  • VRAM per dollar is worse than the RTX PRO 6000 Server Edition on paper (48 GB vs 96 GB, at a narrower price gap than 2x), but the L40S wins on maturity: broader driver validation, wider OEM support, and no GDDR7 shortage premium.
  • No MIG means you cannot hard-partition one card into isolated tenant slices the way the newer Blackwell part allows; use time-slicing or software-level multiplexing (Triton, vLLM multi-model serving) instead.
  • Passive cooling, same as every other data center Ada or Blackwell PCIe card: it lives in a qualified server chassis only, never a generic tower.
Questions we get on this part

How much does an L40S cost?

Reported street pricing runs about $7,500 to $10,000 per card, with at least one reseller listing at $7,569 marked down from a $9,450 baseline. Bulk or OEM pricing typically comes in below single-unit list.

L40S vs RTX PRO 6000 Server Edition for inference?

The RTX PRO 6000 Server Edition roughly doubles memory (96 GB vs 48 GB) and adds FP4 support, and NVIDIA claims up to 5x higher LLM inference throughput over the L40S in agentic AI workloads. The L40S remains the cheaper, more mature, higher-availability choice for models that comfortably fit in 48 GB.

Does the L40S support NVLink or multi-GPU scaling?

No. The L40S has no NVLink; multi-GPU setups communicate over PCIe Gen4 x16 and the host system, which is adequate for running independent model replicas across cards but not for low-latency tensor-parallel splits of a single large model.

Is the L40S being discontinued now that the RTX PRO 6000 Server Edition has shipped?

NVIDIA has not published an end-of-life notice for the L40S; it remains listed as an active, shipping product alongside the newer Blackwell Server Edition, which NVIDIA positions as a performance upgrade rather than a replacement that forces L40S retirement.