Hosted AI APIs degrade on someone else's schedule — prices climb, models change under you, rate limits tighten, features you depend on vanish. When the model runs on GPUs you control, it behaves exactly the same tomorrow as it does today. You upgrade when you decide to.
Every prompt sent to a third-party API is your proprietary data leaving your control, training someone else's model, sitting in someone else's logs, subject to someone else's breach. Run inference on dedicated GPU infrastructure you control — on-prem, private cloud, or air-gapped — and your data, your weights, and your prompts stay inside your own security boundary. Compliance becomes simple.
What We Build
Specialists, not generalists. These are the state-of-the-art systems we ship to production.
We deploy and customize open-weight LLMs (Llama, Mistral, Qwen, DeepSeek) on GPU infrastructure you control — private cloud, on-prem, or fully air-gapped. Fine-tuning, quantization, and high-throughput serving with vLLM/TGI, tuned to wring maximum tokens-per-second out of your GPUs. GPT-4-class performance, no per-token tax.
We design, build, and rigorously evaluate multi-agent systems that reason over text, images, and structured data — then take action. Tool-use, orchestration, guardrails, and eval frameworks. Running entirely on infrastructure you control.
State-of-the-art generative AI image and video generation. Custom LoRA training pipelines, ControlNet, workflow automation, and batch rendering — your models, your weights, your GPUs.
Who We Are
TensorGen is senior team. We've designed, built, and operated production systems that served hundreds of thousands of users. We bring that same engineering discipline to squeezing the most out of the infra you control.
Prior experience includes
Why Self-Hosted
External vendors have started increasing their pricing aggressively, making on-premise solutions more attractive and a strategic choice.
GLM, Qwen, DeepSeek and more, now rival frontier APIs on most real workloads. The quality argument for closed APIs has largely evaporated. Workloads like multimodal agents and Stable Diffusion pipelines, open-source is often ahead because it allows for more customization and control.
HIPAA, GDPR, PIPEDA, SOC 2 — all dramatically simpler when inference runs inside your own security boundary instead of a vendor's multi-tenant cloud. Fewer DPAs, fewer sub-processor reviews, far less breach exposure.
Start a Conversation
Tell us what you're building. We'll tell you honestly whether on-premise is the right call — and how to get there.