According to Paolo Ardoino, QVAC Workbench is running SmolVLM2 on his phone with approximately 30 tokens per second throughput and about 1.5 seconds time-to-first-token, fully private and on-device, providing concrete mobile inference performance data. Source: Paolo Ardoino on X (Nov 2, 2025). These verified metrics (30 tok/s, ~1.5s TTFT) offer a real-world baseline that traders can use to benchmark claims from AI-crypto projects marketing on-device or edge inference capabilities, especially those emphasizing privacy-first design. Source: Paolo Ardoino on X (Nov 2, 2025). For crypto market context, the disclosure of low-latency, on-device VLM inference may focus attention on AI-related tokens and infrastructure plays tied to edge AI narratives, where comparable mobile performance figures become a due-diligence checkpoint. Source: Paolo Ardoino on X (Nov 2, 2025).

According to @paoloardoino, QVAC Workbench is a 100% local AI product, with the official page shared at qvac.tether.dev/products/workbench, indicating an on-device AI focus that was directly disclosed by the issuer’s executive channel. Source: twitter.com/paoloardoino/status/1981971726163681364. According to @paoloardoino, the announcement associates the tool with Tether via the qvac.tether.dev domain and does not provide further details on pricing, availability, or any crypto token integrations. Source: twitter.com/paoloardoino/status/1981971726163681364. According to @paoloardoino, the presence of an official product link confirms a verifiable release signal for a Tether-affiliated AI workbench, but the post offers no additional specifications to translate into immediate trading metrics, so any positioning would require waiting for further official updates. Source: twitter.com/paoloardoino/status/1981971726163681364.

According to @paoloardoino, Tether announced its first AI launch featuring QVAC Workbench, a mobile and desktop app to run and experiment with multiple AI models locally with 100% privacy (source: https://twitter.com/paoloardoino/status/1981715700260450738). The announcement also introduced QVAC Genesis I, described as the largest synthetic pre-training datasets for LLMs to date (source: https://twitter.com/paoloardoino/status/1981715700260450738; source: https://x.com/Tether_to/status/1981693435208695917). The posts do not provide token launches, pricing, release timelines, or blockchain integrations (source: https://twitter.com/paoloardoino/status/1981715700260450738; source: https://x.com/Tether_to/status/1981693435208695917). For trading context, the update confirms Tether’s entry into on-device AI tooling and LLM data infrastructure under the QVAC brand while offering no direct market action items in the announcement (source: https://twitter.com/paoloardoino/status/1981715700260450738).