Vender servidor Dell/Xfusion/Huawei,Da China.
No contexto do rápido desenvolvimento da tecnologia de IA hoje, the deployment of large models has put forward extremely high requirements for computing infrastructure. The Fusion Server G5500 V6 AI server, with its excellent hardware design and optimization capabilities, has become an ideal platform for deploying large-scale AI models such as DeepSeeker R1-70B. Here are its main advantages:
1、 Excellent computing performance support
The Super Fusion G5500 V6 is equipped with the latest generation Intel Xeon scalable processor, apoiando 8 high-performance GPU acceleration cards on a single machine, providing a powerful computing foundation for 70B parameter large models. Its unique heterogeneous computing architecture enables efficient collaboration between CPU and GPU, making it particularly suitable for mixed precision training and inference scenarios such as DeepSeeker R1. Actual test data shows that in the 70B model inference task, the G5500 V6 has improved performance by 40% and reduced latency by 35% compared to the previous generation product.
2、 High speed interconnection and low latency advantages
The server adopts PCIe 5.0 bus technology, providing up to 128GB/s GPU interconnect bandwidth, effectively solving the communication bottleneck of large model parameter synchronization. Its innovative NUMA balanced design can optimize the distribution of 70B model parameters across multiple GPUs, reducing data handling overhead. In distributed inference testing, the cross card communication efficiency of the hyper fusion G5500 V6 is improved by more than 50% compared to ordinary servers, which is crucial for models such as DeepSeeker R1 that require frequent tensor parallelism.
3、 Efficient memory and storage configuration
In response to the memory requirements of the 70B large model, the Super Fusion G5500 V6 supports up to 12TB DDR5 memory and provides sufficient parameter cache space. Its intelligent memory layering technology can automatically retain hotspot parameters in the cache, improving the context window processing efficiency of DeepSeeker R1 by 30%. The equipped NVMe SSD storage array supports a maximum capacity of 56TB, ensuring high-speed access to massive training data and reducing model loading time by 60%.
4、 Advanced heat dissipation and energy efficiency management
By adopting an innovative hybrid cooling scheme of liquid cooling and air cooling, the ultra fusion G5500 V6 can maintain GPU temperature below 75 ℃ even when running the 70B model at full load, avoiding frequency reduction due to overheating. Its dynamic power consumption regulation technology can optimize energy efficiency in real-time based on the model load, saving 30% of electricity consumption compared to traditional servers. No 72 hour DeepSeek-R1 inference stress test, the energy efficiency ratio of the ultra fusion G5500 V6 reached 1.5TFLOPS/W, which is at the forefront of the industry.
5、 Comprehensive software ecosystem support
Hyper Fusion provides a complete AI development ecosystem, including deep optimized TensorFlow/PyTorch frameworks, automatic parallelization tools, and model compression suites. The operator acceleration library specially developed for DeepSeeker R1 can improve inference speed by 20%. Its unified management platform supports the deployment of multiple hyper fusion G5500 V6 clusters, achieving elastic scalability and load balancing of the 70B model, with a fault switching time of less than 10 seconds.
6、 Reliable system stability guarantee
The ultra fusion G5500 V6 has passed rigorous reliability verification, with an MTBF of over 100000 horas. Its key components adopt redundant design, support hot swappable maintenance, and ensure the continuity of 70B model services. The built-in intelligent diagnostic system can predict hardware failures, save model checkpoints in advance, and avoid training interruption losses.