It's possible to deploy multiple instances of Redis on the same server and use them as different servers, at some point, one server isn't enough anyway, so if you want to use multiple CPUs, you can consider sharding.
Although Redis is single-threaded, it can take advantage of multiple CPU cores to improve performance. Here are the steps to improve your multi-core CPU utilization:
Use Redis Cluster: Redis Cluster is a distributed architecture that spreads data across multiple nodes. Each node can run on a different CPU core, increasing the system's concurrent processing capacity. Use Redis Sentinel: Redis Sentinel is part of the Redis High Availability solution. It can deploy multiple Redis instances, running in master-slave mode. These instances can run on different CPU cores, increasing the system's concurrent processing capabilities. Use multiple Redis instances: Run multiple Redis instances on the same machine, each of which can run on a different CPU core. This approach requires the use of different ports and configuration files, but can increase the concurrency processing capacity of the system. Use multiple Redis processes: Divide the Redis server into multiple processes, each of which can run on a different CPU core. This can be done by modifying the"daemonize"option. For example, let's say you have a computer with 8 CPU cores and you can deploy a Redis Cluster in it. Each node runs on a different CPU core, and the cluster can handle more concurrent requests. If higher performance is required, the concurrent processing capacity of the system can be further increased by increasing the number of nodes.