Industry-leading open, full-stack AI-native architecture
delivers new AI solutions to enable enterprises to accelerate AI
model development and deployment
Hewlett Packard Enterprise collaborates with NVIDIA to deliver
an enterprise-class GenAI solution
Hewlett Packard Enterprise (NYSE: HPE) announced at HPE Discover
Barcelona 2023 the next series of AI-native and hybrid cloud
offerings for machine learning development, data analytics,
AI-optimized file storage, AI tuning and inferencing and
professional services. These solutions bring together HPE’s
leadership in hybrid cloud, supercomputing and AI/ML software to
enable organizations to become AI-powered businesses. This is all
delivered based on an open, full-stack AI-native architecture that
incorporates a curated mix of software and infrastructure designed
specifically to accelerate the AI lifecycle. The new offerings
reduce the barriers of IT and deliver full-stack AI-native
solutions that enable organizations to effectively train, tune and
inference their AI models, from edge to cloud.
“With the emergence of GenAI, enterprises are quickly realizing
that the data and computational demands to effectively run AI
models require a fundamentally different approach to technology,”
said Antonio Neri, president and CEO, at HPE. “HPE will bring its
market-leading hybrid cloud, supercomputing and AI capabilities
more broadly to the enterprise to enable an AI-powered
transformation, where customers can develop AI models securely with
their proprietary data. Through HPE’s AI-native and hybrid cloud
solutions, organizations will be able to fully capitalize on the
insights from their data to revolutionize product innovation,
customer engagement, and overall realize the full power of GenAI to
transform their businesses and industries.”
New AI-native architecture and hybrid cloud solutions for
GenAI
Generative AI (GenAI) workloads are computationally intensive
and require the ability to efficiently process massive amounts of
data. For enterprises to effectively incorporate GenAI, deep
learning, computer vision or classical machine learning models into
their business, they will need to extend their cloud-native
environment to include an AI-native approach. The HPE GreenLake
cloud platform is strategically positioned to deliver this
evolution in IT through an industry-leading open, full-stack
AI-native architecture that includes the following attributes:
- Data-first pipeline to manage public and proprietary
data across multi-gen IT
- AI lifecycle management software to accelerate workflows
for training, tuning and inferencing
- Hybrid by design to run AI anywhere from edge to cloud
with data protection
- High-performance interconnects for intelligent
connectivity and traffic management for large clusters
- Supercomputing DNA built into the entire portfolio,
sustainable by design, to train the largest models
- Open ecosystem for freedom of choice with no
lock-in
At HPE Discover Barcelona 2023, HPE announced the latest series
of AI-native offerings:
AI-native solution stacks with NVIDIA to accelerate time to
value
HPE collaborates with NVIDIA to deliver an
enterprise-class, full-stack GenAI solution: HPE announced an
expanded strategic collaboration with NVIDIA to build an enterprise
computing solution for generative AI (GenAI). The co-engineered,
pre-configured AI tuning and inferencing solution enables
enterprises of any size to quickly customize foundation models
using private data and deploy production applications anywhere,
from edge to cloud. The offering removes the complexity of
developing and deploying GenAI infrastructure with a full-stack AI
tuning and inferencing solution from HPE and NVIDIA.
HPE accelerates AI training with new
turnkey solution powered by NVIDIA: HPE recently announced a
new supercomputing solution for generative AI designed for large
enterprises, research institutions, and government organizations to
train and tune models and develop AI applications. The turnkey
solution improves time to value and accelerates training and tuning
of AI models using private data sets by providing supercomputing
technology and the software tools to build faster AI applications
and ML models.
“Generative AI is inspiring enterprises to reinvent their
businesses using their own data as the rocket fuel for
transformation,” said Manuvir Das, vice president of enterprise
computing, NVIDIA. “Our extended collaboration with HPE will help
enterprises everywhere harness full-stack, accelerated computing
and software from NVIDIA to supercharge the power of generative
AI.”
AI-native infrastructure, software and services for AI model
development and deployment
HPE GreenLake for File Storage increases
performance density and throughput for demanding AI workloads:
HPE GreenLake for File Storage, an efficient all-flash unstructured
data platform with a cloud operational experience, keeps pace with
customers’ large-scale AI workloads as they grow and evolve. New
enhancements will speed AI model training and tuning, including
GenAI and large language models (LLMs), plus accelerate data
aggregation and data preparation. Support for 30TB NVMe SSDs and
connectivity to new NVIDIA Quantum-2 InfiniBand for GPU-centric
compute are available to order today. Upcoming enhancements will
increase the capacity density and throughput by seven times*, and
will be available early first half of 2024.
HPE Machine Learning Development
Environment Software as a managed service on AWS and other cloud
providers: HPE Machine Learning Development Environment
Software is now available as a managed service with a complete,
adaptable, cloud-managed experience for AI/ML model training.
- Accelerate and securely implement GenAI initiatives in days
with a flexible managed service that supports any stage of a
company’s AI/ML journey
- Reduce the complexity and operational overhead with an AI/ML
model training managed service to accelerate the time to model
development
- Future-proof AI/ML model training infrastructure to help
relieve management staffing and processing burdens
- Increase AI adoption with new generative AI studio capabilities
to rapidly prototype and test models
HPE Ezmeral Software provides a
future-proof hybrid SaaS foundation for data, analytics and AI:
New enhancements to HPE Ezmeral Software further simplify and
accelerate enterprise data, analytics and AI with a comprehensive,
end-to-end platform that seamlessly operates across hybrid
multi-cloud environments.
- Speed up time to insight across the entire analytics lifecycle
with the power of a hybrid data lakehouse that is now GPU- and
CPU-optimized and can manage, access and analyze data across any
NFS- or S3-compliant solution
- Enhanced model training and tuning in HPE Ezmeral Unified
Analytics Software via deep integration with HPE Machine Learning
Development Environment Software
- Optimize NVIDIA GPU allocations across workloads and users with
GPU-aware capabilities in HPE Ezmeral Unified Analytics
Software
- Access expanded third-party integrations with Whylogs for model
observability and Voltron Data for GPU-accelerated queries
Also available as an HPE GreenLake Flex
Solution: The new enterprise computing solution for GenAI is
also available as an HPE GreenLake Flex Solution that includes HPE
GreenLake for File Storage with Zerto Cyber Resilience Vault
software to protect AI models and data sources and OpsRamp software
to provide visibility and automation across the AI lifecycle in
multi-vendor, multi-cloud environments.
HPE Services to advance an enterprise's
journey to AI: HPE Services now provides a broad portfolio of
consulting services, workforce training and deployment solutions.
The new AI services take customers through every step of the
journey: from GenAI and LLM discovery to implementation, where
customers develop the optimum operational models and hybrid cloud
data strategies needed to build, deploy and scale solutions into
transformative outcomes. These comprehensive services are supported
by new Global Centers of Excellence for AI and Data now open in
Spain, United States, Bulgaria, India and Tunisia.
Taiga Cloud partners with HPE to power its GenAI
cloud
Taiga Cloud, a Northern Data Group company, has partnered with
HPE to power cloud services using HPE Cray XD supercomputers. Taiga
Cloud now provides access to over 27,000 NVIDIA H100, A100 and
NVIDIA RTX A6000 GPUs, connected using NVIDIA BlueField DPUs and
the NVIDIA Quantum-2 InfiniBand platform.
“The data intensity of generative AI workloads necessitates a
different approach to cloud computing allowing a single workload to
process massive amounts of data. We chose to partner with HPE to
build Europe’s first 100% carbon-neutral Generative AI cloud
because HPE understands the importance of a sustainable approach
and a new way of thinking. Their unique AI-native architecture
reflects our changing world where supercomputing with open
ecosystems must intersect with sustainability to democratize AI and
enable the most innovative ideas to come to life,” said Karl
Havard, managing director, Taiga Cloud.
Availability
The enterprise computing solution for generative AI will be
orderable in Q1CY24.
The HPE Services for AI, managed services for HPE Machine
Learning Development Environment Software and updates to HPE
Ezmeral Software are generally available.
References
*HPE GreenLake for File Storage
Additional Resources
Blog: HPE GreenLake for File Storage
Blog: HPE Services’ new services for AI Blog: HPE
Machine Learning Development Environment Software Blog: HPE
Ezmeral Software
About Hewlett Packard Enterprise
Hewlett Packard Enterprise (NYSE: HPE) is the global
edge-to-cloud company that helps organizations accelerate outcomes
by unlocking value from all of their data, everywhere. Built on
decades of reimagining the future and innovating to advance the way
people live and work, HPE delivers unique, open and intelligent
technology solutions as a service. With offerings spanning Cloud
Services, Compute, High Performance Computing & AI, Intelligent
Edge, Software, and Storage, HPE provides a consistent experience
across all clouds and edges, helping customers develop new business
models, engage in new ways, and increase operational performance.
For more information, visit: www.hpe.com
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version on businesswire.com: https://www.businesswire.com/news/home/20231130478449/en/
Victor O’Brien victor.obrien@hpe.com
Hewlett Packard Enterprise (NYSE:HPE)
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