Brand: Gigabyte | Category: GPUs
SKU: GV-NL4-24G | Part #: GV-NL4-24G | MPN: GV-NL4-24G
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This low-profile, single-slot Gigabyte NVIDIA L4 24GB GPU delivers passive thermal efficiency without requiring auxiliary power connectors, making it ideal for dense rack deployments where space and power budgets are constrained. Built on the NVIDIA Ada Lovelace architecture, the GV-NL4-24G combines 7,680 CUDA cores with 240 4th-generation Tensor cores and 60 3rd-generation RT cores to accelerate compute and inference workloads across enterprise environments. With 24 GB of GDDR6 memory on a 192-bit interface providing 300 GB/s bandwidth, this card supports multiple precision formats—FP32, FP16, BF16, TF32, FP8, INT8, and INT4—enabling flexible model deployment from training to quantized inference.
The card's PCIe Gen 4 x16 interface integrates seamlessly into modern server architectures, while its 72 W thermal design power ensures compatibility with standard enterprise cooling infrastructure. ECC memory support protects against data corruption in mission-critical applications, and the 8th-generation NVENC and 5th-generation NVDEC engines handle video encoding and decoding tasks with efficiency. Gigabyte's proven engineering extends to full vGPU software support, enabling virtualized GPU access across multiple workloads on shared infrastructure. IT procurement teams and AI infrastructure architects evaluating inference and analytics acceleration platforms will find this card's combination of performance density and thermal footprint valuable for large-scale deployments. Contact Omnixon Global to request a quotation for the Gigabyte NVIDIA L4 (part number GV-NL4-24G).
| Brand | Gigabyte |
| Category | GPUs |
| SKU | GV-NL4-24G |
| Part Number | GV-NL4-24G |
| Condition | New |
| Manufacturer Part Number | GV-NL4-24G |
| GPU Architecture | NVIDIA Ada Lovelace |
| CUDA Cores | 7,680 |
| Tensor Cores | 240 (4th Generation) |
| RT Cores | 60 (3rd Generation) |
| Memory Capacity | 24 GB GDDR6 |
| Memory Interface Width | 192-bit |
| Memory Bandwidth | 300 GB/s |
| TDP (Thermal Design Power) | 72 W |
| Auxiliary Power Connector | None required |
| PCIe Interface | PCIe Gen 4 x16 |
| Form Factor | Low-Profile, Single-Slot |
| Display Outputs | None (compute/inference optimized) |
| Video Encode Engine | NVENC 8th Generation |
| Video Decode Engine | NVDEC 5th Generation |
| Supported Precision Formats | FP32, FP16, BF16, TF32, FP8, INT8, INT4 |
| vGPU Support | Yes (NVIDIA vGPU software required) |
| NVLink Support | No |
| ECC Memory Support | Yes |
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.