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| Product Introduction | The MLU270F4 is one of the AI accelerator cards in the Siyuan 270 series. It is designed for AI inference scenarios outside of data centers, features an active cooling solution, and is suitable for industrial environments, edge computing, and workstation deployment. |
| Name | MLU270F4 16GB |
| Benchmark Product | Comparable to T4 |
| INT8 Performance | 256 TOPS |
| FP16 Performance | 128 TOPS |
| FP32 Performance | 24 TFLOPS |
| VRAM Type | HBM2E (High Bandwidth Memory, approximately 30% higher bandwidth compared to HBM2) |
| Chip Fabrication | TSMC 7nm FinFET process, paired with 2.5D CoWoS advanced packaging |
| DirectX Support | Compatible with DirectX 12 (including 12_1 features) |
| Memory Frequency | Effective frequency 3600MHz (800GB/s bandwidth) |
| Memory Bus Width | 2048-bit |
| Video Memory Speed | 0.55 ns |
| Output Interface | No traditional video output interfaces (focused on data center inference/computing) |
| Bus Type | PCIe Gen4.0 x16 (bidirectional bandwidth 64GB/s) |
| Form Factor | FHFL dual-slot |
| Weight | 1064g |
Cyber Resilience
Operational Efficiency
Sustainability
Security is integrated into every phase, including protected supply chain and factory-to-site integrity assurance. Silicon-based root of trust anchors end-to-end boot resilience.
Increase efficiency and accelerate operations. Systems management portfolio delivers a secure, efficient, and comprehensive solution for server environments.
From recycled materials in products and packaging to energy efficiency, the portfolio is designed to reduce the carbon footprint and lower operation costs.
MLU270F4 16GB Enterprise Deployment
Designed for 24x7 enterprise data center operations, it features enterprise-grade components and energy-efficient hardware optimized for deployment at scale. Supports Secure Boot with Hardware Root of Trust technology, providing an extra layer of security. The passively cooled, energy-efficient design fits a wide range of systems from OEM vendors and is easy to integrate into existing data center infrastructure.
