Stardock adds Hivemind to Clairvoyance for shared local AI inference
Stardock released Clairvoyance 0.90 on November 5, embedding Hivemind—a feature that pools idle GPUs across a team’s machines for local AI inference. The update extends Locama, its local-model manager, to distribute workloads across Windows, macOS, and Linux systems, targeting routine tasks like procurement and legal operations. The company argues this reduces reliance on cloud services by…
Key points
- Hivemind shares idle GPUs across a team’s machines for local AI inference, reducing cloud dependency
- Clairvoyance 0.90 adds a benchmark measuring prefill, decoding, and response times for local models
- Professional plan costs $20/month with Hivemind; Enterprise at $100/seat/month includes team features
Hivemind’s value hinges on balancing hardware availability with task-specific performance, as routing requests may introduce latency. Clairvoyance also includes a Local AI Benchmark measuring prefill, decoding, and response times, with public results tied to user-submitted hardware configurations. The product integrates with Qualcomm’s GenieX runtime, expanding local compute options beyond traditional GPUs. Pricing starts at $20/month for Professional (including Hivemind) and $100/seat/month for Enterprise, with a free tier for non-commercial use.
Stardock’s Clairvoyance Adds Hivemind to Share Idle GPUs for Local AI
Unite.AI · 5 November 2026
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This text was published by Unite.AI and written by Theo Nash, AI Infrastructure & Compute, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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