Brand: Gigabyte | Category: GPUs
SKU: 900-2G133-0060-000 | Part #: 900-2G133-0060-000 | MPN: 900-2G133-0060-000
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The Gigabyte NVIDIA RTX 4000 Ada Generation GPU Accelerator (MPN: 900-2G133-0060-000) is built on NVIDIA's Ada Lovelace architecture, delivering 20 GB of GDDR6 ECC memory across a 160-bit memory interface. Engineered for professional visualization and compute workloads, it integrates 6,144 CUDA Cores, 192 Tensor Cores (4th Generation), and 48 RT Cores (3rd Generation), enabling simultaneous execution of ray tracing, AI inference, and traditional rasterized rendering pipelines within a single low-profile PCIe form factor.
Designed to fit within a single-slot, low-profile bracket configuration and operating within a 130 W TDP envelope, the RTX 4000 Ada is purpose-built for dense rack-mount enterprise deployments where thermal and physical space constraints are critical factors. The card supports PCIe 4.0 x16 connectivity, providing high-throughput bandwidth to the host system, and includes NVIDIA's full professional driver ecosystem—NVIDIA RTX Enterprise drivers, vGPU software compatibility, and support for NVIDIA Omniverse and CUDA 12.x toolchains.
The RTX 4000 Ada Generation targets enterprise IT infrastructure teams requiring GPU acceleration for AI-assisted simulation, CAD/CAM visualization, virtual workstation deployments, and media production pipelines. Its ECC memory subsystem ensures data integrity under continuous compute loads, making it appropriate for scientific and engineering applications where computational accuracy is non-negotiable. Omnixon Global supplies this GPU accelerator to enterprise buyers across the UAE, GCC, EMEA, and APAC regions.
| Manufacturer | Gigabyte |
| Manufacturer Part Number | 900-2G133-0060-000 |
| GPU Architecture | NVIDIA Ada Lovelace |
| CUDA Cores | 6,144 |
| Tensor Cores | 192 (4th Generation) |
| RT Cores | 48 (3rd Generation) |
| Memory Capacity | 20 GB GDDR6 |
| Memory Interface Width | 160-bit |
| ECC Memory Support | Yes |
| TDP (Thermal Design Power) | 130 W |
| PCIe Interface | PCIe 4.0 x16 |
| Form Factor | Low-Profile, Single-Slot |
| Display Outputs | 4x DisplayPort 1.4a |
| Max Display Resolution | 7680 x 4320 (8K) |
| API Support | DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.3, CUDA 12.x |
| vGPU Software Support | Yes (NVIDIA vGPU software compatible) |
| NVLink / NVLink Bridge Support | No |
| Power Connector | 1x 16-pin (PCIe Gen 5 adapter included) |
| Operating System Support | Windows 10/11 (64-bit), Linux 64-bit |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | Gigabyte |
| Category | GPUs |
| SKU | 900-2G133-0060-000 |
| Part Number | 900-2G133-0060-000 |
| Condition | New |
| Manufacturer Part Number | 900-2G133-0060-000 |
| GPU Architecture | NVIDIA Ada Lovelace |
| CUDA Cores | 6,144 |
| Tensor Cores | 192 (4th Generation) |
| RT Cores | 48 (3rd Generation) |
| Memory Capacity | 20 GB GDDR6 |
| Memory Interface Width | 160-bit |
| ECC Memory Support | Yes |
| TDP (Thermal Design Power) | 130 W |
| PCIe Interface | PCIe 4.0 x16 |
| Form Factor | Low-Profile, Single-Slot |
| Display Outputs | 4x DisplayPort 1.4a |
| Max Display Resolution | 7680 x 4320 (8K) |
| API Support | DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.3, CUDA 12.x |
| vGPU Software Support | Yes (NVIDIA vGPU software compatible) |
| NVLink / NVLink Bridge Support | No |
| Power Connector | 1x 16-pin (PCIe Gen 5 adapter included) |
| Operating System Support | Windows 10/11 (64-bit), Linux 64-bit |
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.