Ignite Your Innovation with Generative AI
Together with our partners, we deliver what enterprises need to seize the full potential of AI.
Introducing VMware Private AI
Private AI helps organizations realize value from their generative AI initiatives faster while maintaining the privacy and control you expect for your sensitive data, whether it resides in a data center, public cloud, or at the edge.
New VMware Intelligent Assist Capabilities
VMware Private AI Ecosystem
The VMware Private AI Foundation with NVIDIA addresses customer concerns about the cost, confidentiality, data privacy and control of generative AI. It integrates VMware infrastructure solutions with the NVIDIA AI Enterprise software platform, including the NVIDIA NeMo™ framework to provide an easy, cost-effective, fast and secure way to adopt generative AI.
VMware solutions are being optimized with Intel’s AI software suite for GenAI platforms to take advantage of new AI accelerators on 4th Gen Intel Xeon processors. This combination of hardware and software addresses the needs of AI professionals, from data scientists who want to customize and fine-tune their models to ML engineers who want to quickly integrate and deploy models into applications.
The Hugging Face SafeCoder solution uses AI to assist with software development. VMware works with Hugging Face to streamline model delivery, training, tuning, inferencing and operations on VMware’s Private AI Reference Architecture and Private AI Foundation with NVIDIA. SafeCoder runs on-premises and is tuned against customers’ code repos while ensuring data confidentiality and privacy.
VMware is bringing the widely adopted open-source Ray unified compute framework to VMware Cloud environments. Ray on VMware Cloud Foundation makes it easy for data scientists and MLOps engineers to scale AI and Python workloads effortlessly by utilizing their current compute footprints for ML workloads instead of defaulting to the public cloud.
DKube is an industry leading enterprise MLOps platform based on innovations of Kubeflow and MLFlow. VMware works with DKube to bring together the IT and data science communities at their enterprise clients so that their AI/ML projects can successfully be deployed and maintained in production.
Domino Data Lab is a leading provider of Enterprise MLOps. Together, VMware and Domino deliver robust AI-ready infrastructure and multi-cloud management with full model lifecycle capabilities that accelerate model innovation at scale. VMware, Domino and NVIDIA have teamed to provide a unified analytics, data science, and infrastructure platform that is optimized, validated and supported—purpose-built for AI/ML deployments in the financial services industry.
Unleashing the Power of AI with Ethical Integrity
At VMware, our adoption of ethical AI principles must align with both our EPIC2 values and our ESG goals to build trustworthy and safe AI systems, which respect privacy, security and content ownership policies, and behave in a fair and transparent manner.