“Nimbix has tremendous experience in GPU cloud computing, going all the way back to NVIDIA’s Fermi architecture,” said Steve Hebert, CEO of Nimbix. “We are looking forward to accelerating deep learning and analytics applications for customers seeking the latest generation GPU technology available in a public cloud.”
“Delivering optimized technology capabilities to different communities is key to a successful public cloud offering”, said Nimbix Chief Technology Officer Leo Reiter. “With this unified approach, Nimbix delivers discrete product capabilities to different audiences while maximizing value to all parties with the underlying power of the JARVICE platform.”
“PushToCompute is the easiest and most advanced DevOps pipeline for high performance applications available today”, said Nimbix CTO Leo Reiter. “It seamlessly enables serverless computing of even the most complex workflows, greatly simplifying application deployment at scale, and eliminating the need for any platform orchestration or user interface work. Developers simply focus on their specific functionality, rather than on building cloud capabilities into their applications.”
Today HPC cloud provider Nimbix announced a significant increase in their presence in the machine learning market space as more customers are using their JARVICE platform to help address the need for an easier, more cost efficient way of working with machine learning. “The Nimbix Cloud was a great choice for our research tasks in conversational AI. They are one of the first cloud services to provide NVIDIA Tesla K80 GPUs that were essential for computing neural networks that are implemented as part of Luka’s AI,” said Phil Dudchuck, Co-Founder at Luka.ai.
Today Nimbix announced the release of its JARVICE 2.0 cloud platform. As Nimbix’s Platform-as-a-Service for big data and HPC applications, JARVICE simplifies compute-intensive engineering/simulation, rendering and analytics by reducing complex configuration and tedious data movement.