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conifer
$ install
simple sdk powerful performance

An elegant operating system for local AI.

Conifer handles model setup, storage, memory, performance engineering, and hardware-aware execution — so local inference feels natural, rather than a backup option from the cloud.

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act 01  ·  the cone, in motif

Naturally simple
runtime.

One hundred and forty-four scales form a beautiful flower on a phyllotaxic spiral. The same should apply to your model. Conifer handles packages, sharding, weights, and kernels so you can focus on what matters.

CPUGPUacceleratormemoryplannerscheduler
keep scrolling — the runtime layer pins

One runtime.
Three lanes.
One memory.

Your device is not a server rack — so stop treating it like one. Conifer is the first hardware-aware operating system, prioritizing latency, power, and privacy rather than amortizing your request in an off-site data center.

unified CPU–GPU space
CPUGPUshared address space
accelerator · systolic mesh
unified memory · one heap
weightsKV cacheactivations
decode · logits → emit
logitssampleemit
act 03  ·  the surrounding work

You pick the model. We handle the rest.

  • fetch
    multi-GB tensors over flaky links · content-addressed · deduplicated across runtimes
  • fit
    quantization the device will tolerate, generation after generation
  • route
    every layer placed across CPU, GPU, and accelerator · KV resident in unified memory
  • survive
    partial download · corrupted weights · OS sleep · app reload · broken update
scroll · runtime ready