Supercomputer aids machine learning

AI analytics leader enhances scale, develops new capabilities with new deployment.

Microway has provided an NVIDIA® DGX-1™ supercomputer and Microway NumberSmasher® Tesla® GPU Server to deep-learning leader Vyasa Analytics. The new hardware enables Vyasa Analytics’ next phase of growth.

The NVIDIA® DGX-1™ Deep Learning Appliance delivers the fastest performance available when training neural networks and running production-scale classification workloads. The system leverages the power of eight built-in NVIDIA® Tesla® V100 GPUs with NVIDIA® NVLink™ Technology and Tensor Cores to boost the speed of deep learning training. NVIDIA® DGX-1™ performs 140X faster deep learning training when compared to a CPU-only server.

The system includes NVIDIA’s Deep Learning software stack and NGC containers. Immediately after installation, the system was ready to train models and scale Vyasa’s software. The easy-to-use DIGITS deep learning training system and interface available on DGX-1™ helps users manage training data, monitor performance, and design, compare, and select networks.

Microway’s NumberSmasher® Tesla® GPU Servers integrate 1–10 NVIDIA® Tesla® V100 GPUs with flexible GPU density. These servers are fully configurable for any customized workload. The Vyasa Analytics deployment utilized this configurability to deploy early R&D environments and test new concepts—scaled up onto the DGX-1™ when ready.

Vyasa Analytics provides a deep learning analytics platform for leading organizations in the life sciences, healthcare, business intelligence, and legal verticals. Vyasa’s highly-scalable deep learning software, Cortex, operating on NVIDIA® GPUs and Microway server hardware, applies deep learning-based analytics to enterprise data of a variety of types: text, image, chemical structure, and more. Use cases include analyzing multiple large-scale text sources and streams that include millions of documents in order to discover patterns, relationships, and trends for patent analysis, competitive intelligence or drug repurposing.

“These systems have enabled us to branch out into a number of R&D areas that were really critical for us to be able to innovate and build out new types of deep learning approaches,” says Dr. Christopher Bouton, founder and CEO of Vyasa Analytics. “As a company working in the deep learning space, we see Microway and NVIDIA® as key partners in our ability to build innovative novel deep learning algorithms for a wide range of content types.”


Gemini CLI's integration with Zed enhances development with seamless AI interaction and real-time...
Vertiv Holdings Co strengthens digital infrastructure through strategic acquisition of Waylay NV,...
MariaDB strengthens its cloud offerings by re-integrating SkySQL's advanced serverless...
Discover how RTX PRO Servers are revolutionising AI infrastructure across various industries.
Databricks strengthens its AI agent capabilities by acquiring Tecton, integrating lightning-fast...
The rapid adoption of AI in businesses, especially SMEs, raises significant concerns about...
Capgemini is set to acquire Cloud4C, enhancing its cloud managed services with automation and...
Five9 unveils case studies showcasing AI's pivotal role in enhancing customer experiences and...