CARLSBAD, Calif.– Edge-to-core AI platform company GigaIO today announced the next phase of its partnership with d-Matrix to deliver an inference solution for enterprises deploying AI at scale. Integrating d-Matrix’s Corsair inference platform into GigaIO’s SuperNODE architecture creates a solution designed to eliminate “the complexity and performance bottlenecks traditionally associated with large-scale AI inference deployment.” […]
Four Ways to Exponentially Multiply Your Enterprise AI Success
December 30, 2024 by
In this contributed article, Jesse Todd, CEO of EncompaaS, discusses the first steps for an organization wishing to harness the inherent value of its data and multiply AI success.
Snowflake Unveils Snowflake Intelligence: The Future of Data Agents for Enterprise AI
November 16, 2024 by
Snowflake, the AI Data Cloud company, announced Snowflake Intelligence (in private preview soon), a new platform that will enable enterprises to easily ask business questions across their enterprise data to unlock data-driven answers, and in just a few steps, create data agents that take action on those insights.
Seekr Launches Self-Service AI Enterprise Platform to Accelerate Time to Market
September 4, 2024 by
Seekr today announced the launch of SeekrFlow, as a complete end-to-end AI platform for training, validating, deploying, and scaling trusted enterprise AI applications through an intuitive and simple to use web user interface (UI).
New Global Survey Finds Enterprises Lack Direction and Training for Workers on the Use of GenAI Tools
June 12, 2024 by
UiPath (NYSE: PATH), a leading enterprise automation and AI software company, published its annual Global Knowledge Worker Survey that uncovers how employees are using generative AI (GenAI), the shortcomings and risks of the technology, and the opportunity for combining GenAI with business automation.
Hammerspace Unveils the Fastest File System in the World for Training Enterprise AI Models at Scale
March 4, 2024 by
Hammerspace, the company orchestrating the Next Data Cycle, unveiled the high-performance NAS architecture needed to address the requirements of broad-based enterprise AI, machine learning and deep learning (AI/ML/DL) initiatives and the widespread rise of GPU computing both on-premises and in the cloud. This new category of storage architecture – Hyperscale NAS – is built on the tenants required for large language model (LLM) training and provides the speed to efficiently power GPU clusters of any size for GenAI, rendering and enterprise high-performance computing.
BRV China-backed HPC-AI Tech Completes $6M Seed and Angel Round Financing
September 15, 2022 by
BEIJING, Sept. 14, 2022 — HPC-AI Tech, an artificial intelligence high-performance optimization platform, recently closed $6 million seed and angel rounds with BlueRun Ventures China (BRV China) acting as the lead investor for the angel round. The funds, which were raised within a year, will be mainly used to bring in more talented teams and […]
