Wasmer is a market leader for enabling WebAssembly on the server. It nearly eliminates all the challenges developers must deal with for deploying machine learning applications in and outside of data center environments.
It is difficult and expensive to collect data or deploy models to heterogeneous infrastructure and devices.
More devices mean more data must be collected, processed, and incorporated into ML/AI models.
High-speed networks are not always available, or devices may be offline for extended periods.
Training ML/AI models require significant infrastructure resources and power that may not always be available outside data centers.
ML/AI applications on IoT devices are especially susceptible to common security risks like data poisoning or transfer learning attacks where existing trained models are hijacked for malicious intent.
WebAssembly enables universal binaries, and the Wasmer Runtime ensures ML/AI Wasm apps run on any device.
Wasmer's headless and architecture-specific compilation options scale down to the more resource-constrained devices.
Wasmer provides multiple engines and compilers to help developers optimize their deployments for their specific performance requirements.
Isolate server-side WebAssembly from host devices explicitly enabling access only to required components or sensor data.
Wasmer is an open-source runtime for executing WebAssembly on the Server.