#cuda
DeepEP is a special communication library for Mixture-of-Experts (MoE) models. It helps these models work faster and more efficiently by improving how data is shared between different parts of the system. DeepEP supports low-precision operations and can handle data transfer between different types of connections, like NVLink and RDMA. This makes it very useful for both training and using AI models, especially when speed is important. Users benefit from faster processing times and better performance overall.
https://github.com/deepseek-ai/DeepEP
The overall goal of Infection Prevention & Control is to maintain an environment of care that minimises risks of infection for patients, staff & visitors.
These #IPC guidelines must be practised by all #HCWs in public and private primary, secondary & tertiary healthcare facilities.
Read more in the Nigerian Manual of Infection Prevention and Control:
https://ncdc.gov.ng/themes/common/docs/protocols/296_1649340294.pdf
The overall goal of Infection Prevention & Control is to maintain an environment of care that minimises risks of infection for patients, staff & visitors.
These #IPC guidelines must be practised by all #HCWs in public and private primary, secondary & tertiary healthcare facilities.
Read more in the Nigerian Manual of Infection Prevention and Control:
https://ncdc.gov.ng/themes/common/docs/protocols/296_1649340294.pdf
The overall goal of Infection Prevention & Control is to maintain an environment of care that minimises risks of infection for patients, staff & visitors
This #IPC guideline for viral haemorrhagic fevers must be practised by all #HCWs in public & private primary, secondary & tertiary healthcare facilities.
🔗
https://ncdc.gov.ng/themes/common/docs/protocols/341_1707300274.pdf
#TakeResponsibility to #StaySafe