Boston Launches Deep Learning Test Drives Powered by NVIDIA Tesla P100s

The most advanced GPU accelerators yet
Monday, 14 November 2016    Source: In House

St. Albans, United Kingdom (14th November, 2016) - Boston Limited are pleased to announce the launch of the Boston NVIDIA® Tesla® P100 GPU test drive as part of their participation at SC16, Salt Lake City, Utah, USA 14-17th November.

Boston are taking advance bookings for test drives, for access to our remote benchmarking facility and are absolutely free and simple to try. Participants can run their own code or one of the preloaded applications.

To register your interest in an NVIDIA® Tesla® P100 test drive either visit the Boston Stand at SC16 (Hall 2, Stand 3634) or contact Boston directly via [email protected].

Boston will also be exhibiting the latest weapon to their machine learning armoury in the guise of the Boston ANNA Pascal, a new NVIDIA® Tesla® GPU-based solution. The revolutionary NVIDIA® Pascal™ architecture is purpose-built to act as the engine of computers that learn, see, and simulate our world.

By introducing four ground-breaking technologies, the appliance enables the system to deliver lightning fast, absolute performance to HPC and deep learning workloads with infinite computing needs.

  • New Pascal Architecture: Delivering 5.3 of double precision or 10.6 TeraFLOPS of single precision for HPC, or 21.2 TeraFLOPS of FP16 for deep learning.
  • NVLink™: World's first high-speed Interconnect for multi-GPU scalability with 5x boost in performance.
  • CoWoS® with HBM2: Unifying data and compute into single package for up to 3X memory bandwidth over prior-generation solution.
  • Page Migration Engine: Parallel programming is simplified by enabling datasets beyond the physical limits of GPU memory.

The Boston ANNA Pascal redefines what is possible for the research community and the industry; helping solve many big data problems such as computer vision, speech recognition, and natural language processing.

Machine learning experts leverage the power of the GPU to make significant improvements to a multitude of applications. Deep learning is the fastest-growing field within this sphere and today's advanced deep neural networks use algorithms, big data, and the computational power of GPUs to reduce time-to-solution and to improve the accuracy of results.

The new offering from Boston Limited is an industry leading, latest-generation Tesla-based server and a masterclass of server design and innovation. The streamlined architecture eliminates complex cabling and GPU pre-heat for maximum airflow, cooling and performance-per-watt. The high-density 1U server includes 2 x PCI-E Gen 3 slots for InfiniBand to enable strong RDMA performance and can support up to 4x GPUs, making it the most optimal system for scalable GPU acceleration and density.

"NVIDIA® Tesla® accelerators enable a new class of servers that can deliver the performance of hundreds of CPU server nodes," said Roy Kim, Group Product Manager of Accelerated Computing at NVIDIA. "With support from the Tesla platform based on our new innovative Pascal architecture, Boston is delivering innovative, high-powered solutions to tackle the most demanding HPC and artificial intelligence workloads."

Available immediately, the Boston ANNA Pascal is suitable to a variety of use cases, particularly scientists looking for both on-premise or cloud based off-premise solutions for their deep learning algorithms.

RSS Feed

Sign up to our RSS feed and get the latest news delivered as it happens.

click here

Test out any of our solutions at Boston Labs

To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available

Contact us

ISC 2024

Latest Event

ISC 2024 | 13th - 15th May 2024, Congress Center, Hamburg

International Super Computing is a can't miss event for anyone interested in HPC, tech, and more.

more info