Huawei Atlas 300T Pro AI Inference Card

The Huawei Atlas 300T Pro is a half-height, half-length PCIe Gen 4.0 x16 AI inference card built on the Ascend 310P4 SoC, purpose-engineered to bring high-throughput neural network inference directly into standard rack servers. The card delivers up to 64 TOPS of INT8 compute performance alongside 16 TOPS of FP16 precision, leveraging Huawei's Da Vinci architecture neural processing units to accelerate a broad range of vision, NLP, and multimodal AI models with deterministic low-latency characteristics. The Ascend 310P4 integrates dedicated on-chip AI cores, a high-bandwidth LPDDR4X memory subsystem, and hardware-accelerated video codec engines, enabling the card to handle concurrent AI inference and media pre-processing pipelines within a single device.

Designed explicitly for mainstream rack servers, the Atlas 300T Pro eliminates the operational and capital overhead associated with dedicated GPU inference clusters. Its passive cooling profile and 75 W maximum TDP allow deployment in standard PCIe slots without auxiliary power connectors, making it straightforward to insert into existing compute nodes across diverse enterprise data center environments. The card is compatible with Huawei's MindX software stack, CANN (Compute Architecture for Neural Networks) heterogeneous computing platform, and supports widely adopted inference frameworks including TensorFlow, PyTorch, MXNet, and ONNX via runtime adapters.

The Atlas 300T Pro targets production AI inference scenarios where latency, throughput density, and server form-factor constraints matter most — including intelligent video analytics, real-time recommendation engines, OCR pipelines, and medical imaging classification. By supporting up to eight cards per server through standard PCIe topology, organizations can scale inference capacity incrementally within existing server hardware, achieving a modular and operationally efficient path to enterprise AI deployment at scale.

Ideal for

• Intelligent video analytics and surveillance: accelerating concurrent multi-stream object detection, face recognition, and behavioral analysis directly within edge or data center servers
• Natural language processing inference: deploying BERT, transformer-based, and large language model inference endpoints for real-time text classification, sentiment analysis, and document processing
• Medical imaging AI: running radiology image classification, CT scan anomaly detection, and pathology slide analysis within hospital-grade servers without specialized GPU infrastructure
• Recommendation system serving: powering low-latency personalized content, product, and advertisement recommendation models in e-commerce and media platforms
• Optical character recognition and document intelligence: processing high-volume document digitization, form extraction, and handwriting recognition workloads in banking, insurance, and government sectors
• Industrial quality inspection: enabling real-time defect detection and visual inspection AI models on manufacturing floor servers integrated with existing automation systems

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.