北
与之科技 builds infrastructure for deploying and optimizing large-scale deep learning models, with a tech stack centered on PyTorch, TensorRT, and ARM—a combination indicating focus on edge inference and model compression. The company is actively working on automated pruning and quantization pipelines alongside large-scale model training, but hiring has stalled (zero roles posted in the last 30 days), suggesting either product-stage stability or resource constraints. Pain-point data shows deployment efficiency and cost management are core friction points.
Tech Stack 12 technologies
What 北京与之科技有限公司 Is Building
◆Challenges
- Improving model deployment efficiency
- Accelerating model deployment
- Automating pruning and quantization
- Cost management
- Financial system improvement
- Project cost analysis
▲Active Projects
- Automated pruning and quantization deployment optimization toolchain
- Model deployment process improvement
- Government project delivery
- External cooperation project delivery
- Internal r&d agile process
- Large-scale model training research
- Large-scale training technology deployment
- Deep learning framework documentation
- Create douyin and xiaohongshu interview-type personal ip accounts
- Deep learning platform optimization
Hiring Activity
Minimal7 roles · 0 in 30d
Department
Seniority
Notable leadership hires: Video Director
Company intelligence