Huawei Atlas 300T A2 Inference Card
Brand: Huawei | Category: GPUs
SKU: 02414HAH | Part #: 02414HAH | MPN: 02414HAH
Contact for Pricing — Request a Quote
About the Huawei Atlas 300T A2 Inference Card
The Huawei Atlas 300T A2 Inference Card delivers 32 TOPS at INT8 and 16 TFLOPS at FP16, establishing a clear performance tier for enterprise AI inference workloads across multiple precision formats including INT4, INT8, FP16, and BF16. Built around Huawei's Ascend 310B AI processor, this PCIe 4.0 x8 accelerator combines 8 GB of on-card LPDDR4x memory with 51.2 GB/s memory bandwidth to sustain real-time model inference at scale. The half-height half-length (HHHL) form factor and compact 167.65 mm × 68.90 mm footprint enable dense multi-card deployments in standard server chassis, while passive cooling keeps thermal complexity minimal—relying on standard server airflow and consuming just 75 W maximum power. Part number 02414HAH ships with support for CNN, RNN, and transformer-based models, backed by Huawei's MindSpore and CANN (Compute Architecture for Neural Networks) frameworks.
AI infrastructure teams and enterprise procurement groups evaluating inference acceleration for production Linux environments will recognize the Atlas 300T A2 as a purpose-built alternative to mainstream GPU options. Compatibility spans EulerOS, CentOS, and Ubuntu distributions, allowing straightforward integration into existing Huawei or multi-vendor AI stacks. The card operates across industrial temperature ranges (0°C to 55°C), and its efficient 75 W envelope reduces power provisioning and cooling costs in large-scale deployment scenarios where inference throughput per watt matters.
Omnixon Global stocks the Huawei Atlas 300T A2 Inference Card (SKU 02414HAH) and partners with enterprise buyers across the UAE and broader Middle East region to architect inference solutions aligned with your compute, memory, and power budgets. To discuss specifications, compatibility, volume pricing, or system integration, submit your request for quotation through Omnixon Global today.
Technical Specifications
| Brand | Huawei |
| Category | GPUs |
| SKU | 02414HAH |
| Part Number | 02414HAH |
| Condition | New |
| Manufacturer Part Number | 02414HAH |
| Product Name | Atlas 300T A2 Inference Card |
| AI Processor | Ascend 310B |
| AI Processing Performance (INT8) | 32 TOPS |
| AI Processing Performance (FP16) | 16 TFLOPS |
| On-Card Memory | 8 GB LPDDR4x |
| Memory Bandwidth | 51.2 GB/s |
| Host Interface | PCIe 4.0 x8 |
| Form Factor | Half-Height Half-Length (HHHL) |
| Cooling | Passive (server airflow dependent) |
| Maximum Power Consumption | 75 W |
| Supported Precision Formats | INT4, INT8, FP16, BF16 |
| Operating Temperature | 0°C to 55°C |
| Software Framework Support | MindSpore, CANN (Compute Architecture for Neural Networks) |
| Model Support | CNN, RNN, Transformer-based models |
| Operating System Compatibility | Linux (EulerOS, CentOS, Ubuntu) |
| Dimensions | 167.65 mm × 68.90 mm |
| Product Category | PCIe AI Inference Accelerator |
Frequently Asked Questions about Huawei Atlas 300T A2 Inference Card
What does the Huawei Atlas 300T A2 Inference Card do?
The Huawei Atlas 300T A2 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.
Is the Huawei Atlas 300T A2 Inference Card compatible with my infrastructure?
The Huawei Atlas 300T A2 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.