Topic
Private Inference
a16z Backs Conway's Underdog, an On-Device Personal AI
Sigil Wen's Conway Research launched Underdog, a fully on-device personal AI, with backing from a16z and Khosla Ventures. The round size was not disclosed.
zkAPI launches on Ethereum: pay for AI APIs without an identity
The Ethereum Foundation and Open Anonymity launched zkAPI, paying metered AI APIs with zero-knowledge proofs instead of an API key tied to an account.
NEAR AI's TEE gateway puts frontier models behind hardware attestation
X is amplifying NEAR AI's claim that a TEE gateway routes to frontier models so providers never see prompts. Latency and deployment figures are self-reports.
Cohere Model Vault adds confidential computing for inference
Cohere's Model Vault now runs inference inside hardware-encrypted TEEs it says even it cannot read, with attestation tokens and an open-source pledge.
152,137 exposed Ollama servers found in year-long scan
A year-long internet scan counted 152,137 publicly reachable Ollama servers on port 11434, and barely 3% patched known flaws. Self-hosters must act.
Latham & Watkins builds its own AI stack on open-weight Nemotron 3
Latham & Watkins bought Nvidia GPU servers and is fine-tuning open-weight Nemotron 3 on its own legal data. X calls it the enterprise sovereign-AI template.
NEAR AI Cloud puts private inference in Intel and NVIDIA TEEs
NEAR AI Cloud now runs open models inside Intel TDX and NVIDIA GPU enclaves with per-message signatures, so users can verify prompts stayed sealed.
What Is Private AI Inference? Policies, TEEs & Proof (2026)
Private AI inference: prompts that can't be read, stored, or trained on. Policy vs enforcement — TEEs, attestation, and how to tell which you're getting.
OpenRouter vs Morpheus for Open Models (2026): Side by Side
OpenRouter vs Morpheus on 10 identical criteria: trust, privacy, cost, catalog, reliability, tooling — and the 2-line change that switches between them.
What Is Decentralized AI Inference? A Builder's Guide (2026)
Decentralized AI inference runs open-weight models across independent GPU operators instead of one cloud. Learn how the 3-layer stack works and when to switch.
