We recently shared with you part 1 of our roadmap, covering new and improved features in the areas of cloud robustness, application software, and licensing. This blog post will go over the rest of our 2018 product roadmap, covering development in the areas of desktop and visualization, HPC workflows, enterprise organization administration, security and compliance, data transfer and management (in a multi-cloud, multi-region network), and hardware and providers. We have exciting things in store for everyone!

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This article was written by Dave Anselmi.

 

 

 

 

 

 

As we move into 2018, here at Rescale we’re excited to keep our momentum as one of Silicon Valley’s fastest growing enterprise software companies, and more specifically keep advancing the state of the art for HPC in the cloud.

Our product team was busy in 2017. Last year we added the following to our platform: 25 new architectures including Skylake, access to the newest NVIDIA GPU offerings P100 and V100, new bare metal providers and integration partners. Enhancing our HPC workflow support, we introduced reusable clusters and in-browser SSH, added support for large DOEs, and made significant optimization framework and ANSYS RSM improvements. Licensing-wise, we added on-demand, pay-per-use licensing for ANSYS and for LS-DYNA, provided license availability-based queuing for STAR-CCM+ and ANSYS, and introduced license server access automation (via our new startup program). We introduced in-browser desktops for native cloud pre- and post-processing. For enterprise administrators, we introduced deposit pricing support, expanded spot pricing regions, and increased administrative control of workflows, budgets, and data limits. To keep your data secure, we also added advanced connection security and outbound internet blocking for companies. And finally, we provided early access to Intel’s latest architectures via our ScaleX Labs.

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This article was written by Dave Anselmi.

Rescale just added NVIDIA’s newest, most advanced GPU, the Tesla V100, to the ScaleX platform. This is NVIDIA’s first GPU based on the latest Volta architecture. Starting November 13, 2017, all platform users are able to select the V100s as part of the ScaleX standard batch workflow.

V100

Optimized for Deep Learning
Rescale’s V100-powered systems come with 1, 4, or 8 V100 GPUs, all connected with 300GB/s NVLink interconnect. The V100 Volta architecture is optimized for deep learning workloads with deep learning-tuned, half-precision Tensor Cores. These systems can train deep learning models more than 2x faster than previous generation P100 systems as shown in these Caffe2 ResNet50 trainer benchmark results:

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This article was written by Mark Whitney.

Rescale just added NVIDIA’s most advanced GPU yet, the Tesla P100, to the ScaleX big compute platform. Beginning today (September 13, 2017), all platform users are able to select the P100s as part of our standard batch workflow.

P100

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This article was written by Rescale.