OpenMed, SAP's Synthesis Through Simulation, and Microsoft LiteBox push AI onto private infrastructure with stronger data control. Synthetic enterprise data and system sandboxing are becoming core to on-prem AI strategies.
OpenMed 3.0 is an Apache-2.0 open-source AI toolkit for the medical sector, designed to operate exclusively on-premise. Its core philosophy is to keep patient data on local machines, without any reliance on cloud services or external APIs, ensuring p...
NVIDIA is building Boro, a Rust-based CLI for AI-assisted Linux kernel development that runs models locally. The approach shifts the focus from cloud-based coding assistants to on-premise execution, with implications for code privacy, critical infras...
SAP's Synthesis Through Simulation framework generates enterprise synthetic data by having an LLM agent operate against APIs that enforce simulated policies, without accessing database schemas. Structural validity emerges by construction, not extract...
SAP has open-sourced Synthesis Through Simulation, a framework that generates synthetic enterprise data through interaction between LLM agents and APIs in simulated environments. The approach removes the need for database schemas, guaranteeing struct...
Microsoft published the first tagged release of LiteBox, a Rust sandbox to isolate Linux on Linux and Linux on Windows. The signal is maturity: stronger isolation than containers, cross-OS portability, useful for self-hosted LLM pipelines. It reduces...
Microsoft has published the first tagged release of LiteBox, an open-source Rust-based system-level sandboxing project. It uses Linux virtualization and Rust memory safety to isolate Linux applications on Linux and Linux programs on Windows, targetin...
