Nimbix. An Atos company
Nimbix. An Atos company
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Keyword tags: Big Data Cloud Storage Nimbix unveiled its new combined product strategy for enterprise computing, end users and developers. This new strategy will focus on three key capabilities – JARVICE Compute for high performance processing, including...
AWS to Azure migration included in Microsoft’s hybrid cloud updates. In the run up to its Worldwide Partner Conference, Microsoft rolled out some new and some tweaked cloud features which it hopes partners will proselytize.Building on some of the developments...
DALLAS, TX and AUSTIN, TX—(Marketwired – May 5, 2015) – Nimbix and Mangstor today announced a joint technology offering designed to accelerate high performance data analysis for seismic processing, bioinformatics, and other big data analytics use cases...
(Ping! Zine Web Hosting Magazine) – High Infomart Data Centers, a national wholesale data center provider, announces today that Nimbix, Inc., a leader in cloud-based, High-Performance Computing (HPC) infrastructure and applications, has selected Infomart...
MiniWrites – A hub for your creative projects!
A hub for your creative projects!
SOCRATES Journal is an international, refereed, and indexed scholarly publication focused on public policy, administration, and ph...
1/10/25/40/50/100Gb Ethernet Solutions For Cloud, Storage...
Chelsio is a leading technology company focused on solving high performance networking and storage challenges for virtualized ente...
Nimbix: Empowering Enterprises with HPC-Enabled Secure Cloud Solutions - Eviden
On-demand access to GPU and CPU compute accelerators now and at scale. On-demand access to GPU and CPU compute accelerators now and at scale. Welcome to the Nimbix Cloud As demand for advanced computi...
Meet the supercomputer that’s super easy to use. JARVICE™, the Nimbix Cloud platform, is the high performance cloud built for true accelerated computing.
Benchmarking GPUs in the Nimbix Cloud for Deep Learning Using NVIDIA DIGITS
Benchmarking GPUs in the Nimbix Cloud for training Deep Learning models to compare the performance and economics of the Nvidia K40 and K80.
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