Private cloud, customer cloud, and hardware-backed on-prem deployment
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When prompts, internal documents, source code, or operational knowledge are sensitive, public-hosted inference is not always the right answer. SourceLens helps organizations deploy open-weight models into environments they control so that privacy, release behavior, and data handling are aligned to enterprise requirements rather than generic public-service defaults. This offering is 100% based in and delivered from Australia.
Private hosting is not just about keeping data private. It is also about engineering the platform around the workload you actually have. That includes tokens-per-second targets, concurrency, prompt length, generation length, context-window choice, GPU sizing, and the real commercial profile of the workload. Instead of accepting a shared public endpoint profile, you can choose an architecture that matches your throughput, latency, and governance goals.
Some customers want a fast single-tenant rollout in a managed private cloud. Others want deployment into their own AWS, Azure, or GCP account. Others want 100% on-prem infrastructure with hardware-backed options using enterprise accelerator classes such as H200, A100, and similar GPU platforms. We can help shape the platform, benchmark the model families, and map the deployment path that fits your security, performance, and operational constraints.