Brand: ASUS | Category: GPUs
SKU: PE800-RTX5000ADA | Part #: PE800-RTX5000ADA | MPN: PE800-RTX5000ADA
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The ASUS PE800-RTX5000ADA is a professional-grade PCIe enterprise GPU built on NVIDIA's Ada Lovelace architecture, delivering substantial compute throughput for demanding datacenter, AI inference, and professional visualization workloads. Powered by the NVIDIA RTX 5000 Ada Generation GPU, it integrates 12,800 CUDA cores, 400 Tensor cores (4th generation), and 100 RT cores (3rd generation), supporting FP32, FP16, INT8, and INT4 precision modes to accommodate a broad range of AI and scientific computing pipelines.
With 32 GB of ECC-protected GDDR6 memory on a 256-bit memory bus, the PE800-RTX5000ADA provides the memory capacity required for large model inference, multi-stream video processing, and complex simulation tasks. The card supports PCIe 4.0 x16 connectivity and conforms to standard dual-slot form factor specifications suitable for rack-mount enterprise servers. DisplayPort 1.4a outputs are available for professional visualization deployments, and NVIDIA NVLink support enables multi-GPU configurations for workloads that demand expanded memory pools.
Designed for continuous enterprise operation, the PE800-RTX5000ADA incorporates active cooling engineered to ASUS enterprise reliability standards, supporting sustained workloads in thermally constrained server environments. Its compatibility with NVIDIA CUDA, cuDNN, TensorRT, and the broader NVIDIA software ecosystem makes it directly deployable across AI training pipelines, virtual desktop infrastructure, CAD and DCC rendering, and real-time simulation environments. Omnixon Global supplies this product to enterprise buyers across the UAE, GCC, EMEA, and APAC regions.
| Manufacturer | ASUS |
| Part Number | PE800-RTX5000ADA |
| GPU Architecture | NVIDIA Ada Lovelace |
| GPU Model | NVIDIA RTX 5000 Ada Generation |
| CUDA Cores | 12800 |
| Tensor Cores | 400 (4th Generation) |
| RT Cores | 100 (3rd Generation) |
| Memory Capacity | 32 GB GDDR6 ECC |
| Memory Bus Width | 256-bit |
| Memory Bandwidth | 576 GB/s |
| Interface | PCIe 4.0 x16 |
| Form Factor | Dual-slot |
| Display Outputs | 4x DisplayPort 1.4a |
| NVLink Support | Yes (NVIDIA NVLink Bridge compatible) |
| TDP (Thermal Design Power) | 250 W |
| Power Connector | 1x 16-pin (PCIe 5.0 / 600W adapter included) |
| Cooling Solution | Active (triple-fan enterprise cooling) |
| Supported APIs | CUDA, OpenCL, OpenGL 4.6, DirectX 12 Ultimate, Vulkan 1.3 |
| ECC Memory | Yes |
| Operating System Support | Windows 10/11, Windows Server 2019/2022, Linux (major enterprise distributions) |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | ASUS |
| Category | GPUs |
| SKU | PE800-RTX5000ADA |
| Part Number | PE800-RTX5000ADA |
| Condition | New |
| GPU Architecture | NVIDIA Ada Lovelace |
| GPU Model | NVIDIA RTX 5000 Ada Generation |
| CUDA Cores | 12800 |
| Tensor Cores | 400 (4th Generation) |
| RT Cores | 100 (3rd Generation) |
| Memory Capacity | 32 GB GDDR6 ECC |
| Memory Bus Width | 256-bit |
| Memory Bandwidth | 576 GB/s |
| Interface | PCIe 4.0 x16 |
| Form Factor | Dual-slot |
| Display Outputs | 4x DisplayPort 1.4a |
| NVLink Support | Yes (NVIDIA NVLink Bridge compatible) |
| TDP (Thermal Design Power) | 250 W |
| Power Connector | 1x 16-pin (PCIe 5.0 / 600W adapter included) |
| Cooling Solution | Active (triple-fan enterprise cooling) |
| Supported APIs | CUDA, OpenCL, OpenGL 4.6, DirectX 12 Ultimate, Vulkan 1.3 |
| ECC Memory | Yes |
| Operating System Support | Windows 10/11, Windows Server 2019/2022, Linux (major enterprise distributions) |
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.