Home
Industry information
solution
About us
Jane | EN
Xuan Yuxin LLM inference card
A professional acceleration card for large language model inference
Let every enterprise have professional-level LLM inference capabilities, and redefine the cost-effectiveness of large language model deployment
Core Performance Specifications
Multi-source data support

Reasoning ability benchmarking

· Performance is benchmarked against the RTX 4090's inference capabilities

· It is deeply optimized for LLM inference scenarios

· Professional inference performance that surpasses general-purpose GPUs

Precise search capabilities

The model supports specifications

· Supports LLMs with parameters of 32B or below

· Covering mainstream open source models: Qwen3, Deepseek-R1, etc

· Quantitative model acceleration is natively supported

· Multi-model parallel inference capabilities

Dynamic update mechanism

Core technical advantages

· Dedicated LLM inference acceleration architecture

· Optimized Transformer computing unit

· Efficient attention mechanism acceleration

· Intelligent memory management system

Breakthrough in business value
Precise search capabilities

Specialized reasoning advantage

Optimized for LLM inference scenarios, the power consumption efficiency is increased by 40%+ compared with general-purpose GPUs, and the inference delay is reduced to millisecond-level response

Precise search capabilities

The model is highly adaptable

Support for Hugging Face mainstream model, self-developed efficient inference computing framework, one-click deployment without complex configuration

Precise search capabilities

Cost-effective optimization

The 32B model can be deployed on a single card, and the multi-card cascade is nearly linear to speed up, and the power consumption control of professional inference cards is more accurate

Precise search capabilities

Ease of deployment

The standard PCIe interface is plug-and-play, the complete inference software stack support, and the rich API interfaces and SDKs

Comparison of technical advantages
Dynamic update mechanism

RTX 4090 General Purpose GPU

·General architecture, inference efficiency is not optimal

·The power consumption is on the high side, and the heat dissipation requirements are strict

·Game card positioning, inference optimization is limited

Dynamic update mechanism

Ascend AI inference card

·Expensive and costly to deploy

·Ecological support is relatively limited

·The development toolchain is complex

·The model adaptation period is long

Dynamic update mechanism

CPU inference scheme

·The speed of reasoning is severely insufficient

·Large model inference is extremely inefficient

·Latency up to seconds response

·Unable to meet the needs of real-time applications

Dynamic update mechanism

Cloud inference service

·Network latency can't be eliminated

·The cost of use continues to grow

·Data privacy security risks

·Strong service dependency

Dynamic update mechanism

Xuan Yuxin LLM inference card

·Dedicated LLM inference acceleration architecture

·The 32B model has complete inference on a single card

·Ultra-low latency for millisecond-level response

·Cost-effective optimized design

·Full ecological toolchain support

📈 Market opportunity

·The demand for large language model applications has exploded

·There is a strong demand for privatization deployment of enterprises

·Inference cost control becomes a key requirement

·Real-time AI application scenarios are rapidly expanding

🎯 Target customers

·AI application development enterprises

·Large model service providers

·Research institutes and universities

·Privatized deployment needs enterprises

Select the LLM inference card
Open a new era of large language model inference!
Buy now
Technical advice
WeChat consultation
- 微信扫码咨询 -