Recently, NVIDIA launched its “NVIDIA Base Command,” a comprehensive platform that manages the end-to-end lifecycle of AI development and reporting dashboards. It is a cloud-hosted development hub designed for large-scale, multi-user, and multi-team AI development workflows hosted on-premises and in the cloud. It helps firms accelerate their expert developers’ productivity and valuable AI infrastructure by simultaneously working on vital computing resources.
Base Command Platform allows easy sharing of resources through a graphical user interface and command-line APIs, and integrated monitoring and reporting dashboards. An extensive range of AI and data science tools helps researchers plan and schedule workloads, polish models, and gain insights instantly. This Platform powers the work of its research teams worldwide.
Manuvir Das, Enterprise Computing head at NVIDIA, states that accessing robust computing infrastructure and other resources is important to bringing AI to every company and its customers. NVIDIA Base Command Platform, deployed as a cloud-hosted solution with NVIDIA-accelerated computing, reduces the complexity of managing AI workflows. This allows scientists and researchers to spend more time developing their AI projects than operating their systems.
AI has now become a crucial part of the digital transformation initiatives of firms. However, deploying and integrating it into the firm can be challenging. The NVIDIA Base Command Platform offers a new subscription plan that provides an easy solution to implement AI with NetApp. Brad Anderson, hybrid cloud group Executive Vice President at NetApp, states that in addition to simplifying workflow management, it also provides NetApp data management, robust performance, and processing power to supercharge their deployments.
In the coming year, Google Cloud plans to collaborate with NVIDIA to support the Base Command Platform in Google Cloud’s Marketplace. Manish Sainani, PM director for ML Infrastructure at Google Cloud, asserts that this collaboration will deliver a true hybrid AI experience for users that will enable firms to access multiple NVIDIA A100 Tensor Core GPUs, speeding AI development for enterprises.
Tanushree Shenwai is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Bhubaneswar. She is a Data Science enthusiast and has a keen interest in the scope of application of artificial intelligence in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.