Huawei Atlas 300T Pro

Huawei Atlas 300T Pro

Brand: Huawei | Category: GPUs

SKU: 02414AHX | Part #: 02414AHX | MPN: 02414AHX

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About the Huawei Atlas 300T Pro

The Huawei Atlas 300T Pro is a high-performance AI inference accelerator card built on Huawei's Ascend 910 series neural processing architecture, engineered for demanding enterprise datacenter and large-scale AI production environments. The card leverages Huawei's Da Vinci AI core architecture, delivering high INT8 and FP16 throughput optimized for deep learning inference tasks across computer vision, natural language processing, and multi-modal AI model serving at scale.

Designed as a PCIe form-factor accelerator, the Atlas 300T Pro integrates tightly with Huawei's MindSpore AI framework and supports standard industry frameworks including TensorFlow, PyTorch, and ONNX through the CANN (Compute Architecture for Neural Networks) software stack. This enables enterprises to deploy heterogeneous AI workloads without rearchitecting existing pipelines, while taking advantage of Huawei's operator fusion and graph-level optimization for maximum throughput per watt in production inference clusters.

The Atlas 300T Pro is positioned for hyperscale AI inference deployments in intelligent video analytics, autonomous systems, financial risk modeling, and cloud-native AI service platforms. Its passive cooling design and standard PCIe interface make it suitable for dense rack integration within existing enterprise server infrastructure across UAE, GCC, EMEA, and APAC datacenter environments, where high-density AI inference capacity is a critical operational requirement.

Ideal for

  • Large-scale deep learning inference serving for enterprise AI platforms and cloud-native model APIs
  • Intelligent video analytics and real-time image recognition pipelines in smart city and security infrastructure
  • Natural language processing inference for enterprise virtual assistants, document processing, and multilingual AI services
  • Financial services risk scoring and fraud detection requiring low-latency, high-throughput model inference
  • Medical imaging AI inference for diagnostic support systems in healthcare enterprise environments
  • Autonomous and assisted driving perception model inference in automotive and transportation industry compute clusters

Technical specifications

ManufacturerHuawei
Manufacturer Part Number02414AHX
Product SeriesAtlas 300T Pro
AI ProcessorAscend 910 series (Da Vinci architecture)
Software StackCANN (Compute Architecture for Neural Networks)
Supported FrameworksMindSpore, TensorFlow, PyTorch, ONNX
Form FactorPCIe accelerator card
InterfacePCIe
Cooling SolutionPassive cooling
Precision SupportFP16, INT8
Target WorkloadAI inference (deep learning, computer vision, NLP)
Deployment EnvironmentEnterprise datacenter, AI inference cluster
Operating System SupportLinux (EulerOS, CentOS, Ubuntu)
Regional AvailabilityUAE, GCC, EMEA, APAC

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

Technical Specifications

BrandHuawei
CategoryGPUs
SKU02414AHX
Part Number02414AHX
ConditionNew
Manufacturer Part Number02414AHX
Product SeriesAtlas 300T Pro
AI ProcessorAscend 910 series (Da Vinci architecture)
Software StackCANN (Compute Architecture for Neural Networks)
Supported FrameworksMindSpore, TensorFlow, PyTorch, ONNX
Form FactorPCIe accelerator card
InterfacePCIe
Cooling SolutionPassive cooling
Precision SupportFP16, INT8
Target WorkloadAI inference (deep learning, computer vision, NLP)
Deployment EnvironmentEnterprise datacenter, AI inference cluster
Operating System SupportLinux (EulerOS, CentOS, Ubuntu)
Regional AvailabilityUAE, GCC, EMEA, APAC

Frequently Asked Questions about Huawei Atlas 300T Pro

What server platforms accept the Huawei Atlas 300T Pro?

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.