Brand: Gigabyte | Category: GPUs
SKU: GV-NL40-48G | Part #: GV-NL40-48G | MPN: GV-NL40-48G
Contact for Pricing — Request a Quote
Designed for AI training and inference workloads, the Gigabyte NVIDIA L40 leverages PCIe Gen4 architecture to deliver enterprise-grade GPU acceleration for demanding computational tasks. This server-class accelerator card combines substantial memory capacity with professional-grade power delivery, making it the preferred choice for AI infrastructure teams building scalable training clusters and inference pipelines.
The Gigabyte GV-NL40-48G (part number GV-NL40-48G) features 48 GB of GDDR6 ECC memory, enabling researchers and engineers to work with large datasets and complex neural networks without memory constraints. With support for up to 4 GPUs per platform configuration, this card scales efficiently in multi-GPU systems, delivering the parallelism required for production-grade machine learning environments. The server-class 12V dual 6-pin and 16-pin power connectors ensure stable, reliable operation under sustained computational loads. Built by Gigabyte and engineered to OEM specifications, this GPU accelerator integrates seamlessly into existing enterprise infrastructure while maintaining thermal and electrical stability.
For enterprise IT procurement teams evaluating GPU solutions, contact Omnixon Global for a detailed request for quotation (RFQ) on the Gigabyte NVIDIA L40 48GB accelerator and volume pricing options.
| Brand | Gigabyte |
| Category | GPUs |
| SKU | GV-NL40-48G |
| Part Number | GV-NL40-48G |
| Condition | New |
| GPU Model | L40 |
| GPU Memory | 48 GB |
| Memory Type | GDDR6 |
| Form Factor / Interconnect | PCIe Gen4 |
| GPU Count (platform) | 4 |
| Power Connector | 12V-2x6 / 16-pin (server-class) |
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.