High-performance AI inference stack for your enterprise.
Run inference for any model on infrastructure you own instead of renting it per request: language, vision, speech or recommendation. We set up the complete inference stack on your hardware, make it fast on your accelerators and operate it with you, so costs stay predictable and your data stays yours.
Everything in Enterprise, run with you.
One stack, fully yours.
Four layers for any kind of inference. The top and bottom are yours, the two in between come from us, and the whole stack runs inside your own boundary.
Daisyflow runs on hardware you already own or choose to buy: on premise, in your data center or a private cloud. Because Daisytuner Enterprise handles the porting, you pick accelerators by price, availability and fit, not by what the software supports.
- NVIDIA, AMD, Intel and Tenstorrent
- On premise, data center or private cloud
- No lock-in to a single chip vendor
Below sits our optimization layer: Daisytuner Enterprise, running inside your walls. It compiles each model into native code for your accelerator and supplies the fastest known kernels for that model and chip, measured on real hardware and tuned around the clock.
- New models on new chips without hand-written kernels
- Auto-tuned and benchmarked on your hardware
- Backed by our SLA and long-term support
The core of Daisyflow: serving for any model, from language and vision to speech and recommendation, built on proven open runtimes such as vLLM. It routes each request to the right model, keeps your accelerators busy and coordinates multi-step workflows.
- Any model type: language, vision, speech, tabular
- Batching and scheduling for high utilization
- Routing: each request to the best-fitting model
- Multi-step and agent workflows in one call
Everything your teams build sits on top: assistants and agents, search, vision and speech pipelines, recommendations and forecasting. They connect through standard APIs, so existing tools and SDKs keep working.
- Standard APIs, OpenAI-compatible for language models
- Requests, data and outputs stay in-house
- You own the models, the data and the apps
Your hardware, your rules.
We install Daisyflow on hardware you own or choose to buy, in your data center or on premise. Requests and data never leave, and the platform ports your models to any chip, so you buy accelerators by price and availability, not by software support.
.svg){kind=logo}
Run with you, end to end.
You don't need an in-house performance team. We take it from kickoff to production and stay on to keep it fast.
- 01
Assess
We size your workloads, hardware and costs together.
- 02
Deploy
We install Daisyflow on your hardware, on premise or in your data center.
- 03
Port
We make your models fast on your accelerators.
- 04
Run
We operate and tune it with you, and new models follow.