Discover how HPE Machine Learning Inference Software bridges the gap between developing a model and successfully transitioning it to production efficiently, reliably, and cost effectively.
HPE combines and enhances the best ideas from the marketplace to execute workloads within your preferred environment, embracing open standards and flexibility to support a broad array of AI projects while providing a special focus on generative AI solutions.
Our strong foundation in AI toolsets, including HPE Machine Learning Data Management Software and HPE Machine Learning Development Environment Software, allow HPE to support your AI journey from data to deployment. HPE Machine Learning Inference Software represents the third pillar of our strategic vision, paving the way for the comprehensive integration of AI/ML model development and deployment into a single platform.
HPE and NVIDIA team up to offer enterprises a fully managed, production-grade AI factory. NVIDIAโs advanced AI technologies produce unparalleled AI value for enterprises, and HPEโs operational and services expertise lets organizations capture that value to differentiate their business.
HPE Machine Learning Inference Software makes it easy to use best-in-class optimized toolsets like NVIDIAโs AI Enterprise Inference Microservices (NIM), for efficient model deployment at scale. Pre-trained models from NVIDIA and their partner ecosystem can be directly imported and used without further optimization, offering low code or no code deployments.
Solving the challenges to deploying models
Speed: Reduce complexities by minimizing dependencies and simplifying connectivity to deployment services, enabling teams to cut deployment times from weeks to minutes.
Control: Gain greater flexibility with easy access to NVIDIA NIM inference microservice, NVIDIA foundation models, and NVIDIA inference frameworks (Triton and TensorRT-LLM). Import and deploy models directly from Hugging Face and NGC.
Scale: Efficiently automate scaling models to handle increased loads while tracking model versions. Built-in optimization technologies improve latency and resource utilization.
With HPE Machine Learning Inference Software, your teams can focus on solving core AI challenges rather than expending valuable efforts on infrastructure management and operations.
The integrated retriever workflow ensures your enterprise can unlock insights hidden in your data through accessible generative AI tools.
Powerful features:
- Enterprise-grade security with RBAC and secure authentication
- Streamlined setup via industry-standard Helm charts
- Simplified model packaging with built-in containerization
- Diverse framework compatibility to leverage existing models
- Comprehensive monitoring and management for system health and performance
HPE Machine Learning Inference Software was purpose-built to overcome the challenges that slow down the efforts of MLOps and ITOps teams to publish AI models quickly and cheaply.
We want you to be able to rapidly integrate AI into your workflows without having to transmute your team into Kubernetes experts or write and maintain tidbits of glue code to manually tie disparate tools and processes together. AI will drive the winners and losers of the next generation of business, HPE provides the tools to drive success.
Learn more about HPE Software.
Piyush is responsible for driving critical and challenging artificial intelligence and machine learning initiatives that support HPE's industry leadership in this space. During his 20-year career in high tech, he has been a frequent expert speaker at industry events, where he presented on topics such as analytics, hybrid cloud, container-based solutions, and VDI. Recognized as a visionary marketing leader, he has a solid reputation for delivering innovative products to HPE customers.
HPE Experts
Hewlett Packard Enterprise
twitter.com/hpe
linkedin.com/company/hewlett-packard-enterprise
hpe.com
HPE_Experts
Our team of Hewlett Packard Enterprise experts helps you learn more about technology topics related to key industries and workloads.
