cnvrg.io and Supermicro have announced a collaboration that will maximize Supermicro systems for Artificial Intelligence (AI) workloads. cnvrg.io along with Supermicro AI purpose-built servers would produce a coordinated, managed, and easy to use machine learning infrastructure.
Data scientists and AI practitioners will get a unified control plane to create, deploy and manage machine Learning (ML) workloads via cnvrg.io running on Supermicro servers. Data scientists will also be able to keep a keen eye on models on top of the Supermicro AI purpose-built solutions and skyrocket the production of models with high impact with the help of cnvrg.io.
Supermicro And cnvrg.io’s Integration
The brand-new Supermicro X12 GPU systems work on dual 3rd Gen Intel Xeon Scalable chipset and the latest NVIDIA A100 GPUs. The system provides maximum processing acceleration for highly compute-intensive workloads with the maximum density available. No doubt it is a perfect system for deep learning/AI, high-performance computing platforms, and scientific virtualization. Data scientists and engineers can spin up optimized CPU workloads and it also boosts the performance with a best-in-class user experience with cnvrg.io native and Intel’s OneContainer catalog’s integration.
With Intel-certified containers and cnvrg.io’s integration, the latter can easily provide consistent and complete resource utilization on Intel compute architecture. cnvrg.io AI OS is a compute-agnostic one, which complements the standard off-the-shelf design of Supermicro systems.
cnvrg.io would provide smooth operations of diverse workloads in a single software platform. All the individual stages of a pipeline in cnvrg.io can be attached to different resources. This includes the support of heterogeneous and multi-cluster compute pipelines. cnvrg.io will also help in boosting the use of enterprise infrastructure. Along with that, Supermicro offers top-notch performance for AI training, deployment workloads, and inferencing.
Machine Learning And cnvrg.io
In the last two years, machine learning has excelled to a great extent. According to the stats, 7% of AI practitioners are able to deploy and scale over business units while around 70% of them are exploring AI use cases. According to the prediction by Gartner, in the upcoming two years, a minimum of 50% of IT leaders will put more effort to move their AI predictive projects past proof of concept to a production level of maturity.
cnvrg.io provides an operating system for machine learning that offers IT and Data Science practitioners a unified control plane while helping in managing diverse DL and ML workloads and activates ML in production at scale.
Co-founder and CEO at cnvrg.io, Yochay Ettun, said that managing and allocating resources and maximizing the potential of the hardware can come up as a big challenge as most of the AI-driven enterprises are scaling their infrastructure for deep and machine learning. He further said that the end-to-end solution created with cnvrg.io software on Supermicro hardware boosts the application of servers and it also maximizes the performance for AI training and inferencing at scale.
“Supermicro offers the broadest portfolio of compute, GPU, and storage systems and cnvrg.io makes it easy to run and scale AI machine learning software infrastructure with its container-based optimization of available compute resources,” said Raju Penumatcha, SVP and Chief Product Officer at Supermicro. “Together, cnvrg.io and Supermicro offer customers fully tested solutions for optimal scalable performance with best out-of-the-box experience for AI/ML deployment.”
“cnvrg.io running on Supermicro purpose-built servers, delivers an end-to-end ML solution with both hardware and software optimized to accelerate time to value for AI projects,” said Monica Livingston, AI Sales Director at Intel Corporation. “This solution is prebuilt with software optimizations for Intel XPU’s, enabling customers to quickly drive optimal performance out of their Intel hardware and improve utilization of their servers. We’re happy to collaborate with cnvrg.io and Supermicro to deliver state-of-the-art technology that is helping customers streamline their AI projects, efficiently use their infrastructure and bring their AI models to production faster.”