Nvidia Agent Toolkit enables enterprises to build domain-specific AI agents

Nvidia's dominance in supercomputing underscores its pivotal role in shaping future AI and energy-efficient technologies, influencing market dynamics. The post Nvidia powers 81% of TOP500 supercomputers, leads in efficiency appeared first on Crypto Briefing.

Nasdaq declines for second day with companies such as Nvidia under pressure

In this tutorial, we build a multilingual ASR and speech translation pipeline with NVIDIA Canary-1B-v2. We load the model on a GPU-enabled runtime, prepare audio into 16 kHz mono, and run English ASR. We then translate speech into French, German, Spanish, and Italian, and extract word and segment timestamps. We export translated subtitles as an SRT file, test long-form transcription, run batch processing, and benchmark inference speed. The post How to Use NVIDIA Canary-1B-v2 for ASR, Translation, and Automatic SRT Subtitle Export in Python appeared first on MarkTechPost.

CHICAGO, June 23, 2026 — NVIDIA has announced NVIDIA Halos for Robotics, the industry’s first full-stack, comprehensive safety system for robotics and physical AI that unifies AI compute and safety. […] The post NVIDIA Announces Halos for Robotics, the Industry’s 1st Full-Stack Safety System for Physical AI appeared first on AIwire.

Nvidia has unveiled a warm-water cooling system it says can eliminate virtually all water consumption inside AI data centres, with chief sustainability officer Josh Parker telling Axios that the water consumption challenge for data centres is largely solved. The system circulates coolant in a closed loop at 45°C through server racks, emerging at 55°C and […]

PRESS RELEASE. The next bull run will be shaped by DeFi but let’s be honest: not every narrative deserves to survive it. AI agents, yield, wallet super-apps, stablecoins on DEXs, cross-chain everything—every cycle brings a new set of “inevitable” futures and quietly buries a few of them. The hard part is to understand which narratives […]

Prosus launched ToqanClaw, a no-code AI platform positioned as an European alternative to AI agents like OpenClaw.

Separating transactional databases from analytical systems was, until recently, considered good architecture. Now, as enterprises adopt AI agents that continuously read, reason over, and act on business data, data warehouse and database vendors are increasingly deciding that separation has become a liability. Just weeks after Databricks unveiled its Lakehouse Transaction and Analytical Processing (LTAP) offering based on Neon Postgres to bring operational (OLTP) and analytical (OLAP) processing closer together, EnterpriseDB (EDB) has introduced converged analytics capabilities for its managed EDB Postgres AI database service with the same intent. Both vendors are responding to the same pressure of enabling AI agents for enterprises to operate on fresh operational data without waiting for pipelines and replicas, but EDB argues its approach starts from a fundamentally different place. “Databricks is building from the lakehouse outward, trying to pull transactional capability in through L