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NVIDIA L40S vs NVIDIA RTX PRO 6000 Blackwell Server Edition: Comparison

NVIDIA L40S and NVIDIA RTX PRO 6000 Blackwell Server Edition separate most on tdp: NVIDIA L40S at 350 W, NVIDIA RTX PRO 6000 Blackwell Server Edition at 600 W, 71% in favour of NVIDIA L40S. Memory Bandwidth splits them by another 52%, this time favouring NVIDIA RTX PRO 6000 Blackwell Server Edition. They match on 6 other specifications, including gpu brand, tier and ray tracing support.

NVIDIA L40S
NVIDIANVIDIA L40S
NVIDIA RTX PRO 6000 Blackwell Server Edition
NVIDIANVIDIA RTX PRO 6000 Blackwell Server Edition

Specs

Specification
NVIDIA L40S
NVIDIA L40S
NVIDIA RTX PRO 6000 Blackwell Server Edition
NVIDIA RTX PRO 6000 Blackwell Server Edition
GPU BrandNVIDIANVIDIA
SeriesRTX Ada GenerationRTX PRO Blackwell
Board PartnerNVIDIA Reference (data center/OEM only, passive cooling)NVIDIA Reference (OEM server/rackmount, passive cooling)
VRAM48 GB-50%96 GB
TierFlagshipFlagship
Memory TypeGDDR6GDDR7
Boost Clock2520 MHz-1%2550 MHz
Ray Tracing Supporttruetrue
TDP350 W600 W-71%
ArchitectureAda LovelaceBlackwell
Process NodeTSMC 4NTSMC 4N
Card Length267 mm267 mm
Slot Width22
Memory Bus Width384 bit-25%512 bit
Memory Bandwidth864 GB/s-52%1792 GB/s
Recommended PSU600 W850 W-42%
Power Connector1x 16-pin (12VHPWR)1x 12V-2x6
MSRP85008565
Launch Date2023-082025-05
Base / Game Clock735 MHz1900 MHz
PCIe InterfacePCIe 4.0 x16PCIe 5.0 x16
CUDA Cores1817624064
Display Outputs4x DisplayPort 1.4a (rarely used in server deployment)None (server edition ships display-less)
Media Engine3x NVENC (8th gen), 3x NVDEC, AV1 encode/decode4x NVENC (9th gen), 4x NVDEC, AV1 encode/decode

Verdict

NVIDIA L40S

8.9 / 10 Expert Rating

One of the most widely deployed data center GPUs of its generation - a genuinely strong middle ground between pure graphics cards and dedicated AI accelerators.

NVIDIA RTX PRO 6000 Blackwell Server Edition

9.4 / 10 Expert Rating

The most VRAM-dense Blackwell professional GPU NVIDIA sells outside the B-series data center parts - a serious tool for AI infrastructure teams, wasted in a single desktop.

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