Brand: NVIDIA | Category: GPUs
SKU: 900-5G132-2350-000 | Part #: 900-5G132-2350-000 | MPN: 900-5G132-2350-000
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The NVIDIA RTX 5000 Ada Generation is a professional-grade graphics card built on the Ada Lovelace architecture, delivering exceptional compute performance for enterprise visualization, simulation, and AI inference workloads. Equipped with 12,800 CUDA cores, 400 fourth-generation Tensor cores, and 100 third-generation RT cores, it provides substantial parallel processing capability across graphics, compute, and ray tracing pipelines. The 32 GB GDDR6 frame buffer connected via a 256-bit memory interface supports large-scale datasets and complex scene management without memory bottlenecks.
Designed for the PCIe form factor in a dual-slot profile, the RTX 5000 Ada Generation operates within a 250 W TDP and supports ECC memory for data integrity in mission-critical environments. It features four DisplayPort 1.4a outputs, supporting up to four 4K displays simultaneously or multi-display configurations for control rooms and simulation environments. NVIDIA NVLink support enables multi-GPU configurations that double the available frame buffer to 64 GB, allowing professionals to tackle even larger models and datasets.
The card fully supports NVIDIA RTX technology including DLSS 3, AV1 hardware encode and decode, and the NVIDIA Omniverse platform for collaborative 3D design. For AI and data science workflows, the Tensor cores accelerate mixed-precision training and inference with support for FP32, TF32, FP16, BF16, INT8, and INT4 precisions. Targeted at workstation deployments in engineering, media and entertainment, healthcare imaging, and enterprise AI, the RTX 5000 Ada Generation represents a high-density professional compute solution built for sustained throughput in demanding datacenter and on-premises environments.
| Manufacturer | NVIDIA |
| Manufacturer Part Number | 900-5G132-2350-000 |
| GPU Architecture | Ada Lovelace |
| CUDA Cores | 12,800 |
| Tensor Cores | 400 (4th Generation) |
| RT Cores | 100 (3rd Generation) |
| Memory Size | 32 GB |
| Memory Type | GDDR6 |
| Memory Interface | 256-bit |
| Memory Bandwidth | 576 GB/s |
| ECC Memory Support | Yes |
| TDP | 250 W |
| Form Factor | Dual-Slot PCIe |
| PCIe Interface | PCIe 4.0 x16 |
| Display Outputs | 4x DisplayPort 1.4a |
| Maximum Simultaneous Displays | 4 |
| NVLink Support | Yes (64 GB combined with 2-GPU configuration) |
| FP32 Single-Precision Performance | 65.3 TFLOPS |
| RT Core Performance | 202.4 TRTFLOPS |
| Tensor Performance (TF32) | 524.3 TFLOPS |
| Supported Precisions | FP64, FP32, TF32, FP16, BF16, INT8, INT4 |
| Cooling | Active (Fan) |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | NVIDIA |
| Category | GPUs |
| SKU | 900-5G132-2350-000 |
| Part Number | 900-5G132-2350-000 |
| Condition | New |
| Manufacturer Part Number | 900-5G132-2350-000 |
| GPU Architecture | Ada Lovelace |
| CUDA Cores | 12,800 |
| Tensor Cores | 400 (4th Generation) |
| RT Cores | 100 (3rd Generation) |
| Memory Size | 32 GB |
| Memory Type | GDDR6 |
| Memory Interface | 256-bit |
| Memory Bandwidth | 576 GB/s |
| ECC Memory Support | Yes |
| TDP | 250 W |
| Form Factor | Dual-Slot PCIe |
| PCIe Interface | PCIe 4.0 x16 |
| Display Outputs | 4x DisplayPort 1.4a |
| Maximum Simultaneous Displays | 4 |
| NVLink Support | Yes (64 GB combined with 2-GPU configuration) |
| FP32 Single-Precision Performance | 65.3 TFLOPS |
| RT Core Performance | 202.4 TRTFLOPS |
| Tensor Performance (TF32) | 524.3 TFLOPS |
| Supported Precisions | FP64, FP32, TF32, FP16, BF16, INT8, INT4 |
| Cooling | Active (Fan) |
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.