Vultr, the cloud computing platform, announced a significant expansion to its Vultr Serverless Inference platform, providing organizations with the essential infrastructure needed for agentic AI.
Vultr Unveils Advanced Serverless Capabilities for Agentic AI for the Enterprise
October 21, 2024 by
New Research: AI-oriented Financial Services Organizations Outperforming Peers in Business Outcomes
September 25, 2024 by
Vultr just released the latest iteration of its AI Maturity report, “Unlocking the Power of AI in Financial Services,” which covers the impacts of AI implementation in the financial services industry, and how organizations can overcome industry challenges to make the most of their AI deployment.
HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
September 11, 2024 by
Vultr, the privately held cloud computing platform, announced a partnership with GPU-accelerated analytics platform provider HEAVY.AI. Integrating Vultr’s global NVIDIA GPU cloud infrastructure into its operations, HEAVY.AI can interactively query and visualize massive datasets, enabling faster, more efficient decision-making for customers across diverse sectors.
New Research: Healthcare + Life Sciences Leading Industries in AI Adoption
August 22, 2024 by
Vultr’s latest industry report, Unlocking the Power of AI in Healthcare & Life Sciences, outlines the AI adoption and maturity successes the Healthcare & Life Sciences (H&LS) sector have implemented to positively impact enterprises and their finances.
AI-based Small Molecule Therapeutics Pioneer Athos Therapeutics Selects Vultr for Secure AI Training in the Cloud
June 18, 2024 by
Vultr, the large, privately-held cloud computing platform, today announced that Athos Therapeutics, Inc. (“Athos”), a clinical-stage biotechnology company, has chosen Vultr Cloud GPU to run its AI model training, tuning, and inference. Powered by NVIDIA HGX H100 systems and running on Dell Technologies’ PowerEdge XE9680 servers, Vultr now offers Athos the needed security and confidentiality for their intellectual property, omics data, and proprietary AI algorithms.
