
The NVIDIA L40 (900-2G133-0010-000) is an Ada Lovelace–generation datacenter GPU widely specified by system integrators and OEMs for AI inference, edge AI, and professional visualization deployments. With 48GB GDDR6 on a 384-bit bus and an approximate ~70W power draw (guidance only — validate board-level consumption against your host platform), it is a strong candidate for GPU servers in power- and space-constrained enterprise environments. The passive thermal solution requires rack-mount chassis with directed front-to-back airflow and is not intended for desktop cases.
Wholesale Overview
This SKU is stocked for volume distribution to resellers, VARs and IT procurement teams. Units are sourced in consistent factory batches, so mixed-batch concerns are minimized for multi-unit orders — an important factor when deploying GPU fleets that must show uniform firmware and revision levels. Current inventory levels, batch codes, and unit pricing at various quantities are provided on request.
Export-ready units carry CE, FCC and RoHS compliance documentation, suitable for cross-border procurement and tender submissions. Standard commercial warranty applies with structured RMA handling: faulty units are processed through a defined return window with replacement or credit, keeping downstream end-customer commitments manageable for resellers. Typical lead times depend on order volume and destination; confirmed orders are allocated from on-hand stock whenever possible, with backorder ETAs quoted up front.
Key specifications (table)
| Parameter | Specification |
| Part number | 900-2G133-0010-000 |
| GPU family | NVIDIA L40 (Ada Lovelace architecture generation, datacenter/professional line) |
| Memory capacity | 48GB GDDR6 |
| Memory interface | 384-bit |
| TDP | ~70W (guidance only; actual system power requirements depend on host platform and configuration) |
| Cooling | Passive heatsink (requires server chassis with directed airflow) |
| Form factor focus | Compact, space-saving design for tight enclosures |
| Target workloads | Edge AI, AI inference, energy-constrained enterprise deployments |
| Framework support | TensorFlow, PyTorch, ONNX and other major AI frameworks |
| Positioning | Enterprise-ready build with long-term availability and software support |
Good to know for integrators
- Passive cooling means the target chassis must provide sufficient directed airflow; this board is designed for rack servers, not desktop enclosures. Factor slot clearance and airflow validation into your pre-deployment checklist.
- Within the L-series lineup, the L40 sits below higher-power sibling SKUs; it is best suited to low-power, inference-oriented builds rather than maximum-throughput training clusters. Quote the correct SKU per workload when structuring customer proposals.
- Confirm driver and framework compatibility (CUDA versions for TensorFlow/PyTorch/ONNX) against the end customer’s software stack, and validate power budget and PCIe slot clearance on the chosen motherboard before committing to volume.
- Serial numbers and batch codes can be supplied with shipment documents for asset tracking and warranty registration.
Wholesale & Procurement Notes
- MOQ negotiable — minimum order quantities can be discussed based on project size and delivery schedule.
- Tiered volume pricing — unit cost steps down with quantity; request a quote for your target volume.
- Typical lead time — in-stock orders ship within a few business days; larger allocations quoted with confirmed ETA.
- Packing & shipping — anti-static retail/bulk packaging options, consolidated or split shipments, DHL/FedEx/forwarder delivery.
- RMA window — DOA and warranty returns accepted within the standard RMA period; replacements or credit issued after verification.
For current stock, batch information, and volume pricing on the NVIDIA L40 900-2G133-0010-000, please request a wholesale quote and our sales team will respond with a tailored offer.
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