News room

Press Release

Kinetica Unveils Accelerator Solutions for Installing and Deploying Applications on its GPU Database

Combined software and services offering jump-starts the scale, cost savings and simplicity of real-time analysis on streaming data Kinetica, provider of the fastest, in-memory database...

October 31, 2016

In the news

Kinetica aims to speed users onto its graphics chip database train

Kinetica can process over a billion simple operations – such as calculating minimum and maximum values in a data store – in less than a second

October 31, 2016

In the news

Kinetica Unveils Solutions and Services to Jumpstart Application Deployment on its GPU-Accelerated Database

Kinetica has introduced two new software and services offerings designed to help customers ingest and use streaming datasets through use of GPUs

October 31, 2016

Press Release

Kinetica to Speak at Upcoming GPU Technology Conference and SC16

Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced its executives will speak about accelerated analytics, simplifying streaming analytics and GPU databases...

October 26, 2016

In the news

Interview: Jim McHugh, GM of the Deep Learning Group at NVIDIA

I just think it’s just exciting to watch people’s eyes when they say, “Oh, can you really explore that fast?”

October 18, 2016

In the news

Kinetica gets serious about performance, joins emerging GPU-enabled database market

Kinetica strengths lie in its ability to provide a high-performance and highly scalable offering that makes great use of GPUs that work well for high cardinality workloads.

October 17, 2016

In the news

Kinetica Makes Case for In-Memory Database Hosted on GPUs

"As GPUs become viable across a much broader number of use cases, the hardware debate in the enterprise now involves a much more diverse set of options than any time in recent memory."

October 6, 2016

In the news

“Above the Trend Line” – Your Industry Rumor Central for 10/3/2016

October 3, 2016

In the news

Could the GPU be the sleeper hit of the new cognitive computing world?

Hear Mark Brooks on the "NVIDIA GPU-accelerated databases, visualization, and analytics" panel

September 27, 2016

Press Release

Kinetica Adds $6 Million in Acceleration Funding and Expands Management Team

Financing led by database industry veteran Ray Lane, Managing Partner of GreatPoint Ventures; New appointments bring best of breed from big data powerhouses to drive...

September 26, 2016

In the news

Kinetica Raises $6M in Funding

The round was led by existing backer Ray Lane, Managing Partner of GreatPoint Ventures and former Oracle President and Managing Partner of KPCB

September 26, 2016

In the news

Kinetica Raises $6M in Funding

New VC funding led by Ray Lane

September 26, 2016

In the news

Pushing Database Scalability Up And Out With GPUs

You can’t even see the lag with the Kinetica database. It is well under sub-second response time.

September 22, 2016

Press Release

Kinetica Unveils GPU-accelerated Database for Analyzing Streaming Data with Enhanced Performance, Visualization and High Availability

Kinetica today 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...

September 21, 2016

In the news

GPU-accelerated Database Analyzes Streaming Data with Enhanced Performance, Visualization, and High Availability

Kinetica uniquely addresses the new paradigm of data by accelerating the data center infrastructure

September 21, 2016

In the news

IBM’s new Power8 server packs in Nvidia’s speedy NVLink interconnect

Nvidia's NVLink interface in IBM's new server gives a five-fold speed boost to communications between CPUs and GPUs

September 8, 2016

In the news

IBM & NVIDIA present the NVLink server you’ve been waiting for

September 8, 2016

In the news

Real-Time Analytics Streamlines USPS Operations

Kinetica supports 15,000 concurrent users and analyzes data from more than 213,000 scanning devices in order to streamline business processes.

August 8, 2016