Kioxia America, Inc. today announced the successful demonstration of high-dimensional vector search scaling to 4.8 billion vectors on a single server using its open-source KIOXIA AiSAQ(TM) approximate ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The graphics processing unit-accelerated database market has established itself as a substantial startup niche. However, it’s not clear if or when GPU-accelerated databases will ever move into ...

There is an arms race in the nascent market for GPU-accelerated databases, and the winner will be the one that can scale to the largest datasets while also providing the most compatibility with ...

For the past decade, flash has been used as a kind of storage accelerator, sprinkled into systems here and crammed into bigger chunks there, often with hierarchical tiering software to make it all ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data set analytics startup SQream Technologies today announced it has ...

The parallel processing power of the GPU is being brought to analytics by some innovative startups, promising new levels of performance The SQL database dates back to the 1970s and has been an ANSI ...

Brytlyt, a leading GPU-accelerated database & analytics platform, is now offering a real-time visualization analytical tool, SpotLyt, designed for massive data sets. It allows data scientists and ...

According to the new market research report "GPU Database Marketby Application (GRC, Threat Intelligence, CEM, Fraud Detection and Prevention, SCM), Tools (GPU-accelerated Databases and ...

Kinetica announced the newest release of its distributed, in-memory database accelerated by GPUs that simultaneously ingests, explores, and visualizes streaming data. Version 6.0 features advances in ...

When you absolutely, positively need to crunch numbers as quickly as possible, you turn to a GPU. Small wonder that most math-intensive applications, including some machine learning frameworks, draw ...