Cirrascale Cloud Services Deploys Non-Virtualized Data Science Workstations-as-a-Service for Deep Learning Workflows
LONG BEACH, Calif., June 18, 2019 — Cirrascale Cloud Services, a premier provider of multi-GPU deep learning cloud solutions, today introduced Data Science Workstations-as-a-Service as part of its dedicated, multi-GPU, deep learning cloud offerings. Powered by the latest data science workstation hardware from BOXX Technologies, Cirrascale Data Science Workstations feature NVIDIA Quadro RTX GPUs for up to 260 teraflops of compute performance and 96GB of memory using NVIDIA NVLink interconnect technology, providing the capacity and bandwidth to handle the largest datasets and compute-intensive workloads. Now, Cirrascale customers can receive dedicated, non-virtualized, next-level cloud-based workstations for their deep learning workflows.
“Our customers working with Autonomous Vehicle and Medical Imaging datasets are continuing to transition their deep learning workflows to the cloud,” said Mike LaPan, vice president, Cirrascale Cloud Services. “We were challenged by those who had already adapted 80% of their current workflows to the cloud to move their Data Science Workstations there as well. By providing these dedicated, non-virtualized workstations with the latest Quadro RTX GPUs, we’ve been able to close the loop and deliver to our customers that final piece.”
With its addition of Data Science Workstations-as-a-Service, Cirrascale now provides customers with a complete, dedicated, cloud-based, deep learning workflow consisting of workstations, multi-tiered storage options (hot-tier and object store), as well as multi-GPU development and training servers. With its “no surprises” billing, Cirrascale customers don’t have to worry about volatile hourly billing practices like those offered by other cloud providers. Cirrascale delivers its services at a flat weekly and monthly rate to customers with no egress charges for data transfers. Additionally, with Cirrascale Cloud Services, the customer experience isn’t virtualized, so they receive dedicated access, allowing them to gain the absolute raw horsepower of a modern multi-GPU workstation.
“BOXX is proud to be working closely with Cirrascale to deliver our latest NVIDIA-powered data science workstations via the cloud,” said Bill Leasure, vice president, BOXX Technologies. “As companies begin to scale their cloud-based workflows, we’re excited to be at the forefront with Cirrascale providing the workstations that enable their customers to develop, train, and deploy models quickly and accurately.”
“Equipped with our Quadro RTX GPUs and CUDA-X AI acceleration libraries, the new breed of NVIDIA-powered data science workstations allows data scientists to develop predictive models faster and tap into 3D visualization and VR to get deeper insights,” says Bob Pette, vice president, Professional Visualization, NVIDIA. “With Cirrascale’s WaaS offering, data scientists have a powerful new option to transition their workloads to the cloud and increase productivity and revolutionize their business.”
About Cirrascale Cloud Services
Cirrascale Cloud Services is a premier provider of public and private dedicated, multi-GPU cloud solutions enabling deep learning. The company offers cloud-based solutions for large-scale deep learning operators, service providers, as well as HPC users. To learn more about Cirrascale Cloud Services and its unique dedicated, multi-GPU cloud solutions, please visit www.cirrascale.com or call (888) 942-3800.
About BOXX Technologies
BOXX is the leading innovator of high-performance workstations and rendering systems for data science, visual effects, animation, product design, engineering, architectural visualization, and more. Combining record-setting performance, speed, and reliability with unparalleled industry knowledge, BOXX is the trusted choice for creative professionals worldwide. For more information, visit http://www.boxx.com.
Source: Cirrascale Cloud Services and BOXX Technologies