PRESS RELEASES
Latest news about NumascaleNumascale Appoints Goutam Debnath Vice President, Business Development
Oslo, Norway, Jan. 25th, 2016 – Numascale today announced the appointment of Goutam Debnath as Vice President, Business Development. Goutam joins the executive management team reporting to CEO Morten Toverud. “Numascale’s strategy and direction is solid,...Numascale Selected to Partner with 1degreenorth to Deploy On-Demand Big Data Analytics Infrastructure for Singapore’s National Computer Center
Numascale Selected to Partner with 1degreenorth to Deploy On-Demand Big Data Analytics Infrastructure for Singapore’s National Computer Center Numascale, 1degreenorth, and BlueData to utilize R, Apache Hadoop, Apache Spark, and analytics databases MonetDB and Neo4j in...Numascale’s NumaConnect-2 Expands Performance and Features, Provides Ongoing Flexibility for Large Memory Systems
Numascale’s NumaConnect-2 Expands Performance and Features, Provides Ongoing Flexibility for Large Memory Systems NumaConnect-2 designed to improve ongoing analytics performance in applications with large data sets by allowing for frequent hardware updates via Altera...Numascale Tops World Record STREAM Benchmark
Numascale Tops World Record STREAM Benchmark System pushes the absolute limits of scalability by supporting more cores than any other single system (5,184) and 20.7 TBytes of shared memory, handles massive amounts of data. Frankfurt, July 13, 2015 – Numascale today...MonetDB Solutions and Numascale team up to enter the In-Memory Big Data Analytics Market
Amsterdam, February 3, 2015: The Dutch database technology company MonetDB Solutions and the Norwegian appliance company Numascale have joined forces to develop out-of-the-box database appliances for in-memory Big Data analytics. The NumaQ MonetDB appliances,...Numascale, Supermicro, and AMD Announce the World’s Largest Shared Memory System to Date
Numascale, Supermicro, and AMD Announce the World’s Largest Shared Memory System to Date. System features 5184 CPU cores and 20.7 TBytes of shared memory, handles massive amounts of data as the first part of a new large cloud computing facility for Big Data Analytics.