Original sourceVentureBeat
Summary
Thinking Machines released Inkling 2 Small, the second generation of its Inkling model, positioned near frontier performance on enterprise benchmarks. The model is a 594B-parameter sparse architecture activating only about 17B parameters per token, available for inference and customization via the…
Key points
- For enterprises that want to build their own agents while retaining a self-hosting option, this is a new choice in sparse large models and licensing terms.
- A sparse architecture plus an open-weights commitment could lower inference costs and vendor lock-in risk for enterprise agent deployments.
- When evaluating agent platforms, enterprises can factor in per-token active parameters, self-hosting, and licensing terms in cost and compliance comparisons.
Editorial note
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