Verne Global’s hpcDIRECT to power RenderNation’s high-performance compute

Today Verne Global announced it is partnering with RenderNation, the render farm specialist renowned for computer generated imagery (CGI) and visual effects (VFX). The partnership enables RenderNation to boost its rendering capabilities through access to hpcDIRECT – Verne Global’s HPC compute solution that is powered by 100 percent renewable energy. “We’re passionate about delivering the best quality service to our clients, on short notice and under tight deadlines. We have no appetite to expend time and resources to manage or maintain hardware and infrastructure” said Dan Thomason, Director, RenderNation. ”With Verne Global, we can harness the power of hpcDIRECT, knowing it’s supported by a world-class, HPC-optimised data center and a skilled team of engineers, and at a predictable cost. This ensures we always have the compute capacity we need on-demand to meet our clients’ needs on-time and on-budget, every time.”

Verne Global Offers Sustainable HPC in the Cloud

In this video from SC19, Tate Cantrell from Verne Global describes how the company delivers sustainable HPC in the Cloud. “Verne Global delivers true high performance computing solutions in an optimized environment, built upon renewable resources. Our expert team provides full life-cycle support to enable maximum performance and flexibility for customer workloads, whilst offering significant cost savings.”

Reflections on Deep Learning, DNNs, and AI on Wall Street

In this special guest feature, Bob Fletcher from Verne Global reflects on the recent HPC and AI on Wall Street conference. “Almost every organization at the event talked about their use of machine learning and some indicated what would make them extend it into full-scale deep learning. The most important criteria were the appropriateness of the DNN training techniques.”

Brent Gorda from Arm looks back at ISC 2019

In this special guest feature, Brent Gorda from Arm shares his impressions of ISC 2019 in Frankfurt. “From the perspective of Arm in HPC, it was an excellent event with several high-profile announcements that caught everyone’s attention. The Arm ecosystem was well represented with our partners visible on the show floor and around town.”

Video: Moving HPC Workloads to Verne Global in Iceland

In this video, Tate Cantrell from Verne Global describes how the company is taking advantage of the nearly unlimited power and cooling available in Iceland for their datacenters running HPC workloads. “Whether deployed as stand-alone compute or used as an extension to existing in-house HPC infrastructure, hpcDIRECT from Verne Global offers a top specification (x86 and ARM), bare metal solution combining best-in-class design and an HPC optimised, low cost environment and location.”

Verne Global Steps up to G-10 Framework for Scientific Computing in the UK

Today HPC Cloud provider Verne Global announced that it has been approved by the Crown Commercial Service as a UK government supplier under the G-Cloud 10 (G10) framework. “From advances in AI and machine learning right through to breakthroughs in engineering, genetics and life sciences, HPC is critical to driving innovation and gathering intelligence,” said Spencer Lamb, Director of Research, at Verne Global. “The G-Cloud 10 certification of our hpcDIRECT platform provides the UK’s world-class science, technology, weather and medical research institutions with a technically excellent, highly scalable and environmentally sound alternative to running their applications in-house.”

Verne Global Launches hpcDIRECT, an HPC as a Service Platform

Today Verne Global in Iceland announced hpcDIRECT, a powerful, agile and efficient HPC-as-a-service (HPCaaS) platform. hpcDIRECT provides a fully scalable, bare metal service with the ability to rapidly provision the full performance of HPC servers uncontended and in a secure manner.“With hpcDIRECT, we take the complexity and capital costs out of scaling HPC and bring greater accessibility and more agility in terms of how IT architects plan and schedule their workloads.”