Brand: Gigabyte | Category: GPUs
SKU: GV-NA16-64G | Part #: GV-NA16-64G | MPN: GV-NA16-64G
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Designed for AI inference, virtualisation, and high-performance compute workloads, the Gigabyte NVIDIA A16 64GB GPU leverages the NVIDIA Ampere architecture to deliver exceptional performance in multi-tenant and containerised environments. This quad-GPU single card features 4x NVIDIA A16 GPU dies, each equipped with 16GB GDDR6 memory and 640 CUDA cores, totalling 2560 CUDA cores and 64GB of combined memory across a single PCIe Gen4 x16 interface. The card supports NVIDIA Multi-Instance GPU (MIG) technology, enabling up to 4x isolated 16GB MIG instances per card, maximising resource utilisation in virtualised deployments. With a 128-bit memory interface per GPU die, ECC memory support, and passive fanless cooling, the Gigabyte model GV-NA16-64G is engineered for integration into dense server environments where reliability and thermal efficiency are paramount.
Data centre architects, cloud service providers, and AI infrastructure teams select this card to consolidate multiple workloads onto a single, power-efficient accelerator. The 250W total board power consumption and single 8-pin auxiliary PCIe power connector simplify deployment logistics, while support for NVIDIA Virtual PC (vPC), Virtual Applications (vApps), and RTX Virtual Workstation (vWS) software unlocks flexible virtualisation strategies. DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.3 compatibility ensure broad software ecosystem support. The dual-slot, full-height full-length form factor fits standard server chassis, and passive thermal design eliminates fan noise—ideal for environments requiring silent, maintenance-minimal operation.
Omnixon Global supplies the Gigabyte NVIDIA A16 64GB GPU (part number GV-NA16-64G) to enterprise customers across the UAE and broader region. Whether you are evaluating acceleration hardware for virtualised inference, multi-tenant cloud platforms, or HPC clusters, our team can provide detailed specifications, compatibility assessments, and volume pricing. Please submit an RFQ through Omnixon Global to discuss your requirements and explore stock availability.
```| Brand | Gigabyte |
| Category | GPUs |
| SKU | GV-NA16-64G |
| Part Number | GV-NA16-64G |
| Condition | New |
| Manufacturer Part Number | GV-NA16-64G |
| GPU Architecture | NVIDIA Ampere |
| GPU Configuration | 4x NVIDIA A16 GPU dies (quad-GPU single card) |
| Total GPU Memory | 64GB GDDR6 |
| Memory Per GPU Die | 16GB GDDR6 |
| Memory Interface | 128-bit per GPU die |
| MIG Support | Yes — up to 4x 16GB MIG instances |
| CUDA Cores (Total) | 2560 (640 per GPU die) |
| PCIe Interface | PCIe Gen4 x16 |
| Form Factor | Dual-slot, full-height full-length (FHFL) |
| Thermal Design | Passive (fanless) — requires server chassis airflow |
| Total Board Power (TDP) | 250W |
| Power Connector | Auxiliary PCIe power connector (8-pin) |
| Display Output | None (compute and virtualisation only) |
| NVIDIA vGPU Software Support | NVIDIA Virtual PC (vPC), Virtual Applications (vApps), RTX Virtual Workstation (vWS) |
| ECC Memory Support | Yes |
| DirectX | 12 Ultimate |
| OpenGL | 4.6 |
| Vulkan | 1.3 |
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.