Brand: Huawei | Category: GPUs
SKU: HUAW-02414BRC | Part #: 02414BRC | MPN: 02414BRC
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The Huawei Atlas 300T Pro AI Inference Card from Huawei is enterprise-grade GPUs hardware built for data centers. PCIe-native Ascend 310P4 AI inference accelerator delivering 64 TOPS INT8 for in-server deployment without dedicated AI infrastructure. Available in brand new condition. Huawei gpus products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
| Brand | Huawei |
| Category | GPUs |
| SKU | HUAW-02414BRC |
| Part Number | 02414BRC |
| Condition | New |
| Product Line | Atlas 300T Pro |
| AI Processor | Ascend 310P4 SoC (Da Vinci Architecture) |
| INT8 Performance | 64 TOPS |
| FP16 Performance | 16 TFLOPS |
| FP32 Performance | 8 TFLOPS |
| On-board Memory | 16 GB LPDDR4X |
| Memory Bandwidth | Up to 119.4 GB/s |
| Host Interface | PCIe Gen 4.0 x16 |
| Form Factor | Half-Height Half-Length (HHHL) PCIe Card |
| Thermal Design Power (TDP) | 75 W (passive cooling, no auxiliary power connector required) |
| Power Connector | None (slot-powered via PCIe x16) |
| Video Encode | H.264 / H.265 hardware encoder — up to 32 channels @ 1080p 30fps |
| Video Decode | H.264 / H.265 hardware decoder — up to 64 channels @ 1080p 30fps |
| Software Framework Support | MindSpore, TensorFlow, PyTorch, MXNet, ONNX (via CANN runtime adapters) |
| AI Software Stack | CANN (Compute Architecture for Neural Networks), MindX DL |
| Supported Precision Formats | INT4, INT8, FP16, FP32, BF16 |
| Operating System Support | Linux (CentOS, Ubuntu, openEuler); Windows Server support via driver package |
| Maximum Cards per Server | Up to 8 cards (dependent on available PCIe slots and server platform) |
| Operating Temperature | 0°C to 55°C |
| Storage Temperature | -40°C to 70°C |
| Card Dimensions | 167.65 mm × 68.9 mm (HHHL standard) |
| Launch Generation | 2025 Q1 |
The Huawei Atlas 300T Pro AI Inference Card accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
Key specifications for the Huawei Atlas 300T Pro AI Inference Card: new condition; manufacturer Huawei; product line Atlas 300T Pro; ai processor Ascend 310P4 SoC (Da Vinci Architecture); int8 performance 64 TOPS; fp16 performance 16 TFLOPS; fp32 performance 8 TFLOPS. Manufacturer part number 02414BRC. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The Huawei Atlas 300T Pro AI Inference Card requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.