Huakun Zhenyu 910B4 AI Accelerator Card 64G Video Memory High Performance Computing Server Component
Category:
Digital computer/Complete machine, server/Other complete machine servers
Model:
910B4
Brand:
Huakun Zhenyu
Memory capacity:
64GB
Video Memory Type:
HBM
interface type:
PCIe 4.0 x16
Support accuracy:
FP16/BF16/INT8
cooling method:
Active cooling/air cooling
Applicable scenarios:
AI training/reasoning
Compatibility Framework:
TensorFlow/PyTorch
Operating Temperature:
0-45℃
Retail Price
10,000,000.00USD
重量
kg
- Product Description
-
Memory capacity 64GB
Video Memory Type HBM
interface type PCIe 4.0 x16
Support accuracy FP16/BF16/INT8
cooling method Active cooling/air cooling
Applicable scenarios AI training/reasoning
Compatibility Framework TensorFlow/PyTorch
Operating Temperature 0-45℃
Description :
Huakun Zhenyu 910B4 is a high-performance AI acceleration card designed specifically for artificial intelligence training and inference. It mainly solves the problems of insufficient computing power and high data processing delay in large-scale deep learning model training, and is suitable for typical working conditions such as data centers, cloud computing platforms and edge computing nodes. This AI accelerator card is based on advanced architecture design and can provide powerful floating-point computing capabilities. It supports multiple mainstream deep learning frameworks and helps enterprises achieve efficient data analysis and model iteration in fields such as image recognition, natural language processing, and autonomous driving. It is a core component for building modern intelligent computing infrastructure.
In terms of specifications, the Huakun Zhenyu 910B4 is equipped with 64GB of high-speed high bandwidth memory (HBM), ensuring sufficient storage space and extremely high data throughput when processing massive amounts of data. Its core adopts customized AI chip process technology, supporting multiple precision formats such as FP16, BF16, INT8, etc., to meet diverse needs from high-precision training to low latency inference. The product follows strict industrial manufacturing standards, has good heat dissipation design and electromagnetic compatibility, and usually passes international certifications such as CE and FCC to ensure stability and reliability in 7x24 hour high load operating environments. It is compatible with mainstream server chassis and motherboard interface standards.
When selecting, special attention should be paid to the specific requirements of the application scenario for computing power accuracy and video memory capacity. Huakun Zhenyu 910B4 is suitable for large model training scenarios that require large video memory support, such as LLM training with billions of parameters or high-resolution video analysis. If only lightweight inference or traditional CPUs are sufficient for logical processing, there is no need to configure such high-end AI acceleration cards. Compared with general-purpose GPUs, this AI accelerator card has more advantages in optimizing specific AI operators and has a higher energy efficiency ratio; However, compared with some international brand competitors, it is necessary to confirm the compatibility and migration cost of the software stack for specific business codes. It is recommended to conduct small-scale POC testing before actual deployment to verify performance.
When installing the Huakun Zhenyu 910B4, it is necessary to ensure that the server power supply is sufficient and the cooling air duct is unobstructed. It is recommended to use active cooling fans or liquid cooling solutions to maintain the core temperature within a safe range. In daily maintenance, it is necessary to regularly monitor the graphics card driver version and firmware status, and update them in a timely manner to obtain the best performance patches and security fixes. Common faults often manifest as driver loading failure or temperature drop. In this case, it is necessary to check the PCIe slot contact, the degree of dust accumulation in the heat dissipation module, and the error codes in the system log. Reasonable environmental control and standardized operation and maintenance can significantly extend the service life of AI acceleration cards, ensuring continuous and stable business operation.
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