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Hewlett Packard Enterprise Rides AI Wave With Major Cloud and Networking Upgrades

MarketDash Editorial Team
5 days ago
HPE stock climbed Wednesday after unveiling sweeping updates to its AI-native networking and cloud platform, including partnerships with Nvidia and AMD that position the company at the center of enterprise AI adoption.

Hewlett Packard Enterprise Company (HPE) is making serious moves in the AI infrastructure space, and investors noticed. Shares climbed Wednesday as the company rolled out a comprehensive set of upgrades to its cloud and networking products that read like a greatest hits compilation of enterprise AI buzzwords—except these actually matter.

The centerpiece is an expansion of HPE's GreenLake cloud platform, which is designed to help companies modernize their IT infrastructure while wrestling with the exponential growth of AI workloads. If you're running a large enterprise, the challenge isn't just adopting AI—it's figuring out how to manage the compute, storage, and networking demands without your infrastructure collapsing under the weight.

HPE introduced several upgrades to address exactly that problem: CloudPhysics Plus, Cloud Commit, and a redesigned Marketplace. These tools aim to simplify hybrid cloud operations, improve visibility for partners, and add much-needed cost transparency to the equation. Because nothing kills an AI project faster than surprise cloud bills.

The company emphasized that GreenLake remains focused on building secure, agile, high-performance IT environments. HPE also showcased its full-stack AIOps capabilities spanning networking and compute through HPE OpsRamp Software. According to the company, Morpheus, OpsRamp, and Zerto can be deployed individually or bundled together as part of the HPE CloudOps Software suite to streamline operations and optimize resources.

Teaming Up With Nvidia

HPE also announced new AI-focused innovations developed in partnership with Nvidia Corp (NVDA), aimed at helping organizations securely adopt AI while managing data more efficiently. The collaboration brings some serious hardware to the table.

The HPE Alletra Storage MP X10000 Data Intelligence Nodes leverage Nvidia's AI Data Platform reference design to create what HPE calls an "active data layer" that enriches information in real time for AI pipelines. Translation: your AI models get better data, faster.

More notably, HPE Private Cloud AI now features Nvidia's RTX PRO 6000 Blackwell Server Edition GPUs across all configurations. The offering includes STIG-hardened and FIPS-enabled Nvidia AI Enterprise software specifically designed for air-gapped environments—critical for defense, government, and highly regulated industries that can't simply pipe their data to the public cloud.

On the financial side, HPE Financial Services is extending new financing options that let customers spread payments over three years for CloudOps, Morpheus, OpsRamp, and Zerto. Customers buying Alletra Storage, including the MP X10000, can save up to 10% and defer their first two months of payments. Not exactly revolutionary, but it helps ease the sticker shock of enterprise AI infrastructure.

Building an AI-Native Networking Portfolio

In a separate announcement, HPE revealed the expansion of its AI-native networking portfolio, bringing together its Aruba and Juniper assets to enable self-driving operations, boost AI workload performance, and simplify hybrid cloud IT with agentic AI through GreenLake Intelligence.

Rami Rahim, executive vice president and president of Networking at HPE, explained the vision: "By delivering autonomous, high-performing networks, HPE is poised to disrupt the networking industry with future-ready solutions that redefine user experiences and provide robust, secure connectivity across all environments."

The integration of Aruba and Juniper represents a significant strategic bet for HPE. The company is essentially arguing that the future of enterprise networking isn't just faster switches and routers—it's networks that can manage themselves using AI, adapting to workload demands in real time.

The AMD Connection

As if that weren't enough, HPE announced Tuesday that it will be among the first companies to offer Advanced Micro Devices Inc.'s (AMD) "Helios" AI rack-scale architecture with an expandable Ethernet network. That's another partnership aimed squarely at enterprises building out massive AI compute clusters without wanting to bet everything on a single chip vendor.

All of this activity reflects a broader truth about the AI infrastructure market: it's wide open, fiercely competitive, and growing fast. Companies like HPE are racing to assemble comprehensive stacks that combine compute, storage, networking, and management software into packages that enterprises can actually deploy. The winners will be the ones who can deliver performance, security, and operational simplicity all at once.

HPE Price Action: Hewlett Packard shares traded up 0.73% at $22.08 during premarket trading on Wednesday, according to market data.

Back to News

Hewlett Packard Enterprise Rides AI Wave With Major Cloud and Networking Upgrades

MarketDash Editorial Team
5 days ago
HPE stock climbed Wednesday after unveiling sweeping updates to its AI-native networking and cloud platform, including partnerships with Nvidia and AMD that position the company at the center of enterprise AI adoption.

Hewlett Packard Enterprise Company (HPE) is making serious moves in the AI infrastructure space, and investors noticed. Shares climbed Wednesday as the company rolled out a comprehensive set of upgrades to its cloud and networking products that read like a greatest hits compilation of enterprise AI buzzwords—except these actually matter.

The centerpiece is an expansion of HPE's GreenLake cloud platform, which is designed to help companies modernize their IT infrastructure while wrestling with the exponential growth of AI workloads. If you're running a large enterprise, the challenge isn't just adopting AI—it's figuring out how to manage the compute, storage, and networking demands without your infrastructure collapsing under the weight.

HPE introduced several upgrades to address exactly that problem: CloudPhysics Plus, Cloud Commit, and a redesigned Marketplace. These tools aim to simplify hybrid cloud operations, improve visibility for partners, and add much-needed cost transparency to the equation. Because nothing kills an AI project faster than surprise cloud bills.

The company emphasized that GreenLake remains focused on building secure, agile, high-performance IT environments. HPE also showcased its full-stack AIOps capabilities spanning networking and compute through HPE OpsRamp Software. According to the company, Morpheus, OpsRamp, and Zerto can be deployed individually or bundled together as part of the HPE CloudOps Software suite to streamline operations and optimize resources.

Teaming Up With Nvidia

HPE also announced new AI-focused innovations developed in partnership with Nvidia Corp (NVDA), aimed at helping organizations securely adopt AI while managing data more efficiently. The collaboration brings some serious hardware to the table.

The HPE Alletra Storage MP X10000 Data Intelligence Nodes leverage Nvidia's AI Data Platform reference design to create what HPE calls an "active data layer" that enriches information in real time for AI pipelines. Translation: your AI models get better data, faster.

More notably, HPE Private Cloud AI now features Nvidia's RTX PRO 6000 Blackwell Server Edition GPUs across all configurations. The offering includes STIG-hardened and FIPS-enabled Nvidia AI Enterprise software specifically designed for air-gapped environments—critical for defense, government, and highly regulated industries that can't simply pipe their data to the public cloud.

On the financial side, HPE Financial Services is extending new financing options that let customers spread payments over three years for CloudOps, Morpheus, OpsRamp, and Zerto. Customers buying Alletra Storage, including the MP X10000, can save up to 10% and defer their first two months of payments. Not exactly revolutionary, but it helps ease the sticker shock of enterprise AI infrastructure.

Building an AI-Native Networking Portfolio

In a separate announcement, HPE revealed the expansion of its AI-native networking portfolio, bringing together its Aruba and Juniper assets to enable self-driving operations, boost AI workload performance, and simplify hybrid cloud IT with agentic AI through GreenLake Intelligence.

Rami Rahim, executive vice president and president of Networking at HPE, explained the vision: "By delivering autonomous, high-performing networks, HPE is poised to disrupt the networking industry with future-ready solutions that redefine user experiences and provide robust, secure connectivity across all environments."

The integration of Aruba and Juniper represents a significant strategic bet for HPE. The company is essentially arguing that the future of enterprise networking isn't just faster switches and routers—it's networks that can manage themselves using AI, adapting to workload demands in real time.

The AMD Connection

As if that weren't enough, HPE announced Tuesday that it will be among the first companies to offer Advanced Micro Devices Inc.'s (AMD) "Helios" AI rack-scale architecture with an expandable Ethernet network. That's another partnership aimed squarely at enterprises building out massive AI compute clusters without wanting to bet everything on a single chip vendor.

All of this activity reflects a broader truth about the AI infrastructure market: it's wide open, fiercely competitive, and growing fast. Companies like HPE are racing to assemble comprehensive stacks that combine compute, storage, networking, and management software into packages that enterprises can actually deploy. The winners will be the ones who can deliver performance, security, and operational simplicity all at once.

HPE Price Action: Hewlett Packard shares traded up 0.73% at $22.08 during premarket trading on Wednesday, according to market data.