Huawei Atlas 300I Duo Inference Card
Brand: Huawei | Category: GPUs
SKU: Atlas-300I-Duo-A2 | Part #: Atlas-300I-Duo-A2 | MPN: Atlas-300I-Duo-A2
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About the Huawei Atlas 300I Duo Inference Card
AI inference workloads demand specialized acceleration architecture, and the Huawei Atlas 300I Duo Inference Card delivers dual-processor performance in a compact half-height, half-length form factor. This card features 2× Huawei Ascend 310B NPUs, enabling parallel inference streams with 16 TOPS peak throughput (INT8) and 8 TFLOPS (FP16), paired with 16 GB total onboard LPDDR4X memory (51.2 GB/s bandwidth per chip). Built for enterprise AI infrastructure teams, the Atlas-300I-Duo-A2 combines low power consumption (75 W TDP) with passive cooling, making it ideal for dense deployment scenarios where thermal efficiency and reliability are critical.
Integration is straightforward across modern Linux environments: CentOS 7.6+, Ubuntu 18.04+, and EulerOS 2.8+ are all supported, while the PCIe 4.0 x16 host interface ensures compatibility with standard server platforms. Huawei's software ecosystem—including MindSpore, MindX DL, MindX SDK, and the Ascend-CANN toolkit—enables rapid model deployment and optimization. The card supports major AI frameworks (TensorFlow, PyTorch via Ascend adapter, and ONNX) and advanced virtualization through SR-IOV and container-based architectures, allowing flexible resource allocation in multi-tenant environments. Operating across 0°C to 55°C, with storage tolerance from -40°C to 70°C, this card meets stringent enterprise reliability standards (CE, FCC, RoHS certified).
Typical Deployment Scenarios
- Real-time video analytics and computer vision inference at the edge or data center
- Batch inference pipelines for fraud detection and recommendation engines
- Containerized microservices requiring isolated GPU resources per tenant
- High-throughput NLP and language model serving with concurrent request handling
- Medical imaging and document processing acceleration in compliance-heavy verticals
For detailed specifications, compatibility verification, and volume pricing on the Atlas-300I-Duo-A2, contact Omnixon Global to submit your RFQ today.
Technical Specifications
| Brand | Huawei |
| Category | GPUs |
| SKU | Atlas-300I-Duo-A2 |
| Part Number | Atlas-300I-Duo-A2 |
| Condition | New |
| Product Line | Atlas 300I Series |
| AI Processors | 2× Huawei Ascend 310B NPU |
| AI Compute (INT8) | 2× 8 TOPS (16 TOPS total) |
| AI Compute (FP16) | 2× 4 TFLOPS (8 TFLOPS total) |
| On-board Memory | 2× 8 GB LPDDR4X (16 GB total) |
| Memory Bandwidth (per chip) | 51.2 GB/s |
| Host Interface | PCIe 4.0 x16 |
| Form Factor | Half-Height, Half-Length (HHHL) |
| Card Power Consumption (TDP) | 75 W |
| Cooling Solution | Passive (requires system airflow) |
| Operating Temperature | 0°C to 55°C |
| Storage Temperature | -40°C to 70°C |
| Supported OS | CentOS 7.6+, Ubuntu 18.04+, EulerOS 2.8+ |
| AI Framework Support | MindSpore, TensorFlow, PyTorch (via Ascend adapter), ONNX |
| Software Ecosystem | Huawei MindX DL, MindX SDK, Ascend-CANN toolkit |
| Concurrent Inference Streams | 2 (one per Ascend 310B processor) |
| Virtualization Support | Supports SR-IOV and container-based deployment |
| Compliance | CE, FCC, RoHS |
Frequently Asked Questions about Huawei Atlas 300I Duo Inference Card
What server platforms accept the Huawei Atlas 300I Duo Inference Card?
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.
How long is the lead time on AI GPUs?
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.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
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.
Can you help with NVIDIA AI Enterprise licensing?
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.