AibleClaw applies serverless GPU economics to scheduled agent workloads, using NVIDIA Cloud Functions as part of the NVIDIA DSX OS software portfolio to help reduce operating costs for governed, long-running enterprise AI agents.
SAN FRANCISCO, CA, June 2, 2026 – (ACN Newswire) – Aible, the enterprise agentic AI leader, today announced that AibleClaw, its enterprise solution for governed, long-running AI agents or Claws, integrates with NVIDIA Cloud Functions, – bringing serverless GPU economics to enterprise AI workloads and significantly reducing Total Cost of Ownership (TCO.). Building on Aible’s early adoption of NVIDIA Cloud Functions (NVCF), a key component of NVIDIA DSX OS. Aible’s October 2024 benchmark demonstrated how serverless GPUs can improve end-to-end GenAI TCO by up to 200X.
Claws, typically scheduled workloads, are naturally suited to run on NVCF and capture the full economic benefits of serverless inference. Following the recent launches of AibleClaw with NVIDIA Nemotron 3 Super for governed long-running enterprise agents and AibleClaw with NVIDIA Nemotron 3 Nano Omni for multimodal reasoning at the edge, today’s announcement details how AibleClaw unlocks the full Total Cost of Ownership (TCO) benefits of NVCF and delivers secure private AI for business users at fixed and predictable cost.
Today’s launch builds on Aible’s recent announcement on Secure AI for Business Users, which set out the broader context for fixed-cost, on-prem private AI in an era of rising token prices and growing security concerns with frontier models.
“Just last week Aible developers spent two days at NVIDIA headquarters working closely with NVIDIA teams to adapt and adopt the latest NVIDIA technologies. During the two day hackathon, the two teams collaborated across NVCF, Nemotron 3 Ultra, NVIDIA NemoClaw, the NVIDIA OpenShell secure runtime for autonomous agents, and other NVIDIA Agent Toolkit software.”, said Arijit Sengupta, Founder & CEO of Aible.
He added, “Enterprise AI is evolving so fast that it is almost impossible to keep up with the pace. This is where our co-innovation with NVIDIA as part of the NVIDIA Inception Program has been crucial to our success.”
