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 ...

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 ...

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 ...

Kinetica, provider of the fast, in-memory database accelerated by GPUs, announced the availability of in-database analytics via user-defined functions (UDFs). This capability makes the parallel ...

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 ...

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 ...

MapD Technologies Inc., one of a group of select companies that offer GPU-accelerated databases, today announced the open sourcing of its MapD Core database. The company is contributing the project to ...

Kinetica, a provider of an in-memory database accelerated by GPUs, has announced the availability of in-database analytics via user-defined functions (UDFs). This capability makes the parallel ...

Hardware accelerated databases are not new things. More than twenty years ago, Netezza was founded and created a hybrid hardware architecture that ran PostgreSQL on a big, wonking NUMA server running ...

Computing technology is seemingly caught between a rock and a hard place these days. The rock is physics, which is preventing the CPU from generating significantly more power using Moore’s Law. The ...

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 ...