Apache OpenWhisk + Kubernetes: A Perfect Match for Your Serverless Platform Ying Chun Guo guoyingc@cn.ibm.com Zhou Xing xingzhou@qiyi.com Agenda • What is serverless? • Kubernetes + Apache

or momentum are geared towards model convergence. However, they all work in conjunction to produce better models faster. Let's say that we are optimizing the validation loss, , for a given dataset on a important hyperparameters. Important hyperparameters have a larger number of subspaces or subranges than unimportant parameters that need to be searched for an optimal value. For example, in the US presidential benefit from a more aggressive focus (search) on the counties in swing states (important parameters) than those in the rest of the states (unimportant parameters). Figure 7-2: A comparison of hyperparameter

advanced compression techniques. By ‘advanced’ we mean that these techniques are slightly more involved than quantization (as discussed in the second chapter). But that doesn’t mean they are harder to learn quantizing is not uniformly distributed, i.e. the data is more likely to take values in a certain range than another equally sized range. It creates equal sized quantization ranges (bins), regardless of the sparsified weight matrix size. As shown in the output below, the sparsified compressed matrix is smaller than the regular compressed matrix by nearly 50%. weights = np.random.normal(size=(100, 100)).astype(np

application that employs a high quality model with a reasonable translation accuracy would garner better consumer support. In this chapter, our focus will be on the techniques that enable us to achieve metrics). We designate a new model training setup to be more sample efficient, if it achieves similar or better performance with fewer data samples when compared to the baseline. Think of it as teaching a child efficient and/or label efficient training setup, can we exchange some of this to achieve a model with a better footprint? The next subsection elaborates it further. Using learning techniques to build smaller

it can be rewarding to go back to the drawing board and experiment with another architecture that better suits the task. As an analogy, when renovating a house to improve the lighting, it is possible to have been domesticated for a while and are safe. These two animals are more similar to each other than to a random animal like a chimp. Similarly, we know that we should maintain our distance from a snake Guardians of the Galaxy?), but it is not the safest animal to be in close proximity, though still safer than a snake or a bear. A domestic mouse on the other hand is not cute but nor very dangerous, but you

the engine will be reused. You may notice that the time cost for connection here is much shorter than the last round. If you use a different user to create a new connection, another engine will be started Basics Deploy Kyuubi On Kubernetes Requirements If you want to deploy Kyuubi on Kubernetes, you’d better get a sense of the following things. • Use Kyuubi official docker image or build Kyuubi docker image automatically load this config file to its classpath. This version of configuration has lower priority than those in $KYUUBI_HOME/conf/kyuubi-defaults.conf. Via JDBC Connection URL We can pass Hive primitives

the engine will be reused. You may notice that the time cost for connection here is much shorter than the last round. If you use a different user to create a new connection, another engine will be started Basics Deploy Kyuubi On Kubernetes Requirements If you want to deploy Kyuubi on Kubernetes, you’d better get a sense of the following things. • Use Kyuubi official docker image or build Kyuubi docker image automatically load this config file to its classpath. This version of configuration has lower priority than those in $KYUUBI_HOME/conf/kyuubi-defaults.conf. Via JDBC Connection URL We can pass Hive primitives

the engine will be reused. You may notice that the time cost for connection here is much shorter than the last round. If you use a different user to create a new connection, another engine will be started Basics Deploy Kyuubi On Kubernetes Requirements If you want to deploy Kyuubi on Kubernetes, you’d better get a sense of the following things. • Use Kyuubi official docker image or build Kyuubi docker image automatically load this config file to its classpath. This version of configuration has lower priority than those in $KYUUBI_HOME/conf/kyuubi-defaults.conf. Via JDBC Connection URL We can pass Hive primitives

the engine will be reused. You may notice that the time cost for connection here is much shorter than the last round. If you use a different user to create a new connection, another engine will be started Basics Deploy Kyuubi On Kubernetes Requirements If you want to deploy Kyuubi on Kubernetes, you’d better get a sense of the following things. • Use Kyuubi official docker image or build Kyuubi docker image automatically load this config file to its classpath. This version of configuration has lower priority than those in $KYUUBI_HOME/conf/kyuubi-defaults.conf. Via JDBC Connection URL We can pass Hive primitives

the engine will be reused. You may notice that the time cost for connection here is much shorter than the last round. If you use a different user to create a new connection, another engine will be started Basics Deploy Kyuubi On Kubernetes Requirements If you want to deploy Kyuubi on Kubernetes, you’d better get a sense of the following things. • Use Kyuubi official docker image or build Kyuubi docker image automatically load this config file to its classpath. This version of configuration has lower priority than those in $KYUUBI_HOME/conf/kyuubi-defaults.conf. Via JDBC Connection URL We can pass Hive primitives