HPE GreenLake for File Storage
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Simplify data management and transform faster with enterprise-grade, scale-out file storage. Empower your data science teams with rich data services as you speed time to insight, drive innovation, and gain competitive advantage.
Enterprise performance at scale is essential for modern, data-intensive applications such as artificial intelligence
(AI), machine learning (ML), Big Data, deep learning (DL), high-performance computing (HPC), large data lakes, and
high–speed access to data archives. These applications span a wide range of industry verticals—including life sciences,
financial analytics, and media and entertainment—and process enormous volumes of file data.
To achieve performance at AI scale, file storage must have an architecture that breaks through performance
bottlenecks. HPE GreenLake for File Storage has just such an architecture.
HPE demonstrates leadership in storage for AI with NVIDIA DGX BasePOD™ certification and NVIDIA OVX™ storage
validation for HPE GreenLake for File Storage. NVIDIA DGX BasePOD is a fully validated reference architecture with
a proven server, networking, and storage framework. This reduces the deployment and operational complexity of AI
workloads, providing a fast track to AI success.
With this certification, customers can confidently use HPE GreenLake for File Storage as the storage component of the
NVIDIA DGX BasePOD reference architecture to run the most impactful, mission-critical AI use cases. These include
Health and Life Sciences, Financial Services, Energy, Telecommunications, and Large Language Models (LLMs).
HPE GreenLake for File Storage accelerates AI, GenAI, and GPU-intensive workloads at scale with NVIDIA® AI
Computing by HPE and is included in the HPE Private Cloud AI portfolio.
Enterprise performance at AI scale
When HPE announced HPE GreenLake for File Storage, it was to address the need for enterprise performance at scale,
which is essential for AI workloads because they are the most data-intensive. Enterprise performance at AI scale breaks
through the limits of current systems and goes way beyond where they begin to fall short.
Get file storage performance at AI scale
HPE GreenLake for File Storage gives you scalable performance
(AI), machine learning (ML), Big Data, deep learning (DL), high-performance computing (HPC), large data lakes, and
high–speed access to data archives. These applications span a wide range of industry verticals—including life sciences,
financial analytics, and media and entertainment—and process enormous volumes of file data.
To achieve performance at AI scale, file storage must have an architecture that breaks through performance
bottlenecks. HPE GreenLake for File Storage has just such an architecture.
HPE demonstrates leadership in storage for AI with NVIDIA DGX BasePOD™ certification and NVIDIA OVX™ storage
validation for HPE GreenLake for File Storage. NVIDIA DGX BasePOD is a fully validated reference architecture with
a proven server, networking, and storage framework. This reduces the deployment and operational complexity of AI
workloads, providing a fast track to AI success.
With this certification, customers can confidently use HPE GreenLake for File Storage as the storage component of the
NVIDIA DGX BasePOD reference architecture to run the most impactful, mission-critical AI use cases. These include
Health and Life Sciences, Financial Services, Energy, Telecommunications, and Large Language Models (LLMs).
HPE GreenLake for File Storage accelerates AI, GenAI, and GPU-intensive workloads at scale with NVIDIA® AI
Computing by HPE and is included in the HPE Private Cloud AI portfolio.
Enterprise performance at AI scale
When HPE announced HPE GreenLake for File Storage, it was to address the need for enterprise performance at scale,
which is essential for AI workloads because they are the most data-intensive. Enterprise performance at AI scale breaks
through the limits of current systems and goes way beyond where they begin to fall short.
Get file storage performance at AI scale
HPE GreenLake for File Storage gives you scalable performance
Consider the following analogy of two different vehicles. One is a
race car, which is a complex, highly customized system driven by a
solitary, highly skilled driver. The car can set a record by reaching a
breakthrough speed for a few seconds but has no practical, day-to-day
transportation value.
On the other hand, a vehicle that is also fast and can easily transport
many people is more effective, even if it doesn’t set a land speed
record. In this analogy, the passengers represent the data that’s our
real concern because of its value. Enterprise performance at AI scale
isn’t simply flat-out performance that reaches an unprecedented
instantaneous peak for a small data set. Instead, it’s a fast and sustained
performance that spans the entire scale of your data and all the stages
of AI to support workloads that process extremely high volumes of data.
Another way to understand enterprise performance at scale is to
imagine a sprinter who can run a marathon at a world-class 100-meter
pace. It’s a sustained, high-speed performance over a long stretch. And
this is just what HPE GreenLake for File Storage delivers. Where legacy
NAS infrastructure hits a limit and can’t keep going, HPE GreenLake
for File Storage continues to scale and sustain performance even as it
processes huge amounts of data.
race car, which is a complex, highly customized system driven by a
solitary, highly skilled driver. The car can set a record by reaching a
breakthrough speed for a few seconds but has no practical, day-to-day
transportation value.
On the other hand, a vehicle that is also fast and can easily transport
many people is more effective, even if it doesn’t set a land speed
record. In this analogy, the passengers represent the data that’s our
real concern because of its value. Enterprise performance at AI scale
isn’t simply flat-out performance that reaches an unprecedented
instantaneous peak for a small data set. Instead, it’s a fast and sustained
performance that spans the entire scale of your data and all the stages
of AI to support workloads that process extremely high volumes of data.
Another way to understand enterprise performance at scale is to
imagine a sprinter who can run a marathon at a world-class 100-meter
pace. It’s a sustained, high-speed performance over a long stretch. And
this is just what HPE GreenLake for File Storage delivers. Where legacy
NAS infrastructure hits a limit and can’t keep going, HPE GreenLake
for File Storage continues to scale and sustain performance even as it
processes huge amounts of data.
