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900-2G133-0080-000: NVIDIA L40S 48GB GDDR6 PCIe 4.0 GPU Accelerator (Ada Lovelace architecture, dual-slot, passive cooling)

MPN: 900-2G133-0080-000|By: NVIDIA

NVIDIA L40S 48GB GDDR6 PCIe 4.0 GPU Accelerator (Ada Lovelace architecture, dual-slot, passive cooling)

Price

Quoted on request

Current pricing within 48 business hours.

In Stockships worldwide

Condition:
New (authorized channel)
Warranty:
Full manufacturer warranty

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  • Authorized & warrantied

    Sourced through authorized distribution, with the full manufacturer warranty.

  • Compatibility checked

    Validated against your server platform before dispatch.

  • Delivery & lead time

    Confirmed with your quote, including expedited freight where available.

  • Business & public sector

    POs, net terms and volume pricing for qualified organizations, government and edu.

Product overview

900-2G133-0080-000 is a NVIDIA L40S 48GB GDDR6 PCIe 4.0 GPU accelerator (ada lovelace architecture, dual-slot, passive cooling). Passively cooled accelerators need chassis airflow to survive and will throttle or shut down in a workstation. Tell us where it is going and we will confirm the cooling before you order.

No price is published here because the market for this part moves week to week; ask and we will give you a current one rather than a stale one.

Specifications

General

Manufacturer part number
900-2G133-0080-000
Product Type
GPUs & Accelerators
Manufacturer
NVIDIA

Technical specifications

Memory
48GB

The table below is what the GPU accelerator is documented as, not what we have inferred from the part number. If the figure you need is missing, ask and we will source it from the manufacturer.

Where the NVIDIA 900-2G133-0080-000 is deployed

  • Like-for-like replacement of 900-2G133-0080-000 in an existing system
  • Building a training or inference node to a fixed budget
  • Replacing a failed accelerator in a production node

Who this part is for

  • Research groups sizing a training or inference node to a budget
  • ML teams adding accelerators to servers that are already racked
  • Procurement buying accelerators on a purchase order at lead time

What you get ordering this from us

Ordered by part number

900-2G133-0080-000 is what is quoted and 900-2G133-0080-000 is what ships; where an alternate code is genuinely the same part we name it rather than swap it silently.

Answered by a human

A quote comes back with the reasoning attached, including the cases where we think you should buy something else.

No substitutions without asking

If we cannot supply the exact code we tell you what we can supply and why, rather than shipping an equivalent and letting you find out.

Questions buyers ask about this part

Is 900-2G133-0080-000 genuine and is the warranty intact?

Yes. It ships new in NVIDIA packaging, which is what keeps the warranty and the firmware entitlement valid. Anything we cannot supply that way we tell you about before you order.

Will 900-2G133-0080-000 work in my server?

Send the chassis model. Slot width, auxiliary power connectors and airflow decide this before the silicon does, and a passively cooled card in the wrong chassis will throttle or shut down.

Do you accept purchase orders and quote at volume?

Yes, POs from qualified organisations, net terms on approval, and banded pricing once the quantity is worth banding. Send the number and we will price it properly.

Compare other GPUs & Accelerators we stock

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Intel Data Center GPU Flex 140 12GB GDDR6 PCIe AcceleratorIntelMemory: 12GB GDDR6In Stock$935
Dell NVIDIA L4 24GB GPU Kit with Riser and Bracket for PowerEdge ServersDell TechnologiesMemory: 24GB GDDR6In Stock$4,420
HPE NVIDIA L4 24GB Accelerator Kit with Riser Cage for ProLiant ServersHPEMemory: 24GB GDDR6In Stock$4,485
Xilinx Alveo U50 Data Center Accelerator CardXilinxN/AIn Stock$7,930
ASRock Intel Arc Pro B70 Creator 32GB graphics cardASRockMemory: 32GBIn StockRequest quote

Browse all GPUs & Accelerators or everything we stock from NVIDIA.

Specifying a system, not just the part?

Accelerators are usually bought as part of a node rather than on their own, because the chassis, power and cooling have to match the card.