Prerequisites
Please only run one container instance per machine. Running multiple containers results in vastly reduced performance.
- Container engine, such as Docker (can be installed using the official instructions)
- (GPU only) Nvidia Container Toolkit with Nvidia driver version 515 or higher (can be installed using the following installation guide)
System Requirements
The image comes in two different build flavours:- A compact, CPU-only container that runs on any Intel or AMD CPU and a container with GPU acceleration. The CPU container is highly optimised for the majority of use cases, as the container uses hand-coded AMX/AVX2/AVX512/AVX512 VNNI instructions in conjunction with Neural Network compression techniques to deliver a ~25X speedup over a reference transformer-based system.
- A GPU container is designed for large-scale deployments making billions of API calls or processing terabytes of data per month.
Minimum Requirements
The minimum system requirements for the container image are as follows:
Please visit the recommended concurrency levels page to set the number of concurrent requests optimally.
The Limina image can also run on the new Apple chips, such as the M2. Performance will be degraded however, due to the Rosetta 2 emulation of the AVX instructions.
Recommended Requirements
CPU
While Limina CPU-based container will run on any x86-compatible instance, the below cloud instance types give optimal throughput and latency per dollar:In the event when a lower latency is required, the instance type should be scaled; e.g. using an m7i.2xlarge in place of a m7i.xlarge. While the Limina container solution can make use of all available CPU cores, it delivers best throughput per dollar using a single CPU core machine. Scaling CPU cores does not result in a linear increase in performance.