Coder Legion - Recent posts tagged hpe

HPE Refreshes Its Private Cloud and Storage Portfolio for the AI Era

Tue, 12 May 2026 13:00:00 +0000

The company's latest GreenLake updates take aim at virtualization complexity, fragmented data management, and the growing pressure to support AI workloads on premises.

Managing enterprise infrastructure has gotten more complicated over the past few years. Cloud costs keep climbing, AI workloads are sprawling across the organization, and the tools IT teams use to manage it all often don't talk to each other. HPE is addressing all three with a round of updates to its GreenLake portfolio, announced May 12, 2026.

The news spans private cloud, storage, and data protection — and the common thread is simplification. HPE is betting that enterprises want fewer vendors, fewer tools, and more control, especially as more AI work moves back on premises.

A Fourth-Generation Private Cloud

The centerpiece of today's announcement is the HPE Private Cloud PC3000, a rename and significant upgrade of what was previously called HPE Private Cloud Business Edition. This is HPE's fourth-generation private cloud system, and it's built around one idea: give IT teams a single platform to manage virtual machines and Kubernetes containers together.

That might sound straightforward, but it's been a real pain point. Most organizations end up with separate tools and teams for VMs and containers, which creates overhead, slower provisioning, and a lot of finger-pointing when things break. The PC3000 brings both into a single control plane through HPE Morpheus Software.

The hardware foundation is HPE ProLiant Compute Gen12, which delivers better performance per watt and tighter security through HPE Integrated Lights-Out (iLO). Customers can also upgrade to the enterprise edition of Morpheus Software to get multicloud management and hybrid cloud automation — which matters if you're managing workloads across on-premises infrastructure and public cloud.

Data protection is built in, not bolted on. The PC3000 includes integrations with HPE Zerto Software for continuous workload protection and ransomware detection, the Veeam Data Platform for image-based backup and instant VM recovery, and HPE StoreOnce for space-efficient replication with near-zero RPO/RTO.

HPE is also updating the HPE SimpliVity PC1000, its hyperconverged option for edge and distributed environments. It now supports HPE Morpheus VM Essentials and extended backup through HPE StoreOnce Gen5 — making it a viable option for organizations that want consistent operations across distributed locations without deploying a full data center stack.

New Storage for AI Data Pipelines

HPE also announced updates to its Alletra Storage MP platform, which now covers both structured and unstructured workloads across two hardware personalities.

The HPE Alletra Storage MP X10000 is the big one. HPE is adding native file storage to a platform that previously focused on object storage. That's a meaningful addition. AI pipelines typically need to pull from multiple data sources — object, file, and block — and having all three accessible from a single platform reduces complexity and latency.

The X10000 scales to 16 nodes and 23 petabytes of raw capacity, which gives it a wide range. You can start small and grow without migrating to a different platform. HPE is also extending its 100% data availability guarantee to the X10000 — a commitment it previously offered only on the B10000. RDMA support for file storage is also coming, building on existing RDMA support for S3 object. In benchmarks with an HPE partner, the X10000 delivered 20x faster time-to-first-token for AI inference workloads. That's a meaningful number if you're running large language models on premises.

The HPE Alletra Storage MP B10000, the block storage platform, gets agentic AI support in this release. The system can now autonomously detect, analyze, and resolve infrastructure issues without human intervention. HPE is also introducing a 5:1 data reduction guarantee and expanding the maximum controller node count from four to six — which adds 50% more performance and improves fault tolerance.

Data Fabric and Zerto Get AI Upgrades Too

HPE Data Fabric Software, which the company describes as a federated data layer that spans edge, core, and cloud, is getting a conversational interface and an agentic AI assistant. In practice, that means IT teams can query the global namespace in plain language, automate data movement with policy-based rules, and get better visibility into how data is being used. Support for Apache Polaris adds governance and compliance capabilities across platforms.

This is an area that often gets overlooked in storage announcements, but it matters. Knowing where your data is, who's accessing it, and whether it's being used appropriately is becoming a baseline requirement — especially for organizations that are feeding that data into AI models.

HPE Zerto Software version 10.9 rounds out the data protection story. Zerto now includes an AI assistant that helps teams identify risk and plan recovery. New recovery Runbooks automate complex, multi-step workflows for both cyber incidents and disaster scenarios. And Zerto has been integrated with Microsoft Defender for real-time threat visibility and faster recovery. HPE also added support for the HPE VM hypervisor within Morpheus, so customers transitioning away from VMware can maintain continuous protection across both environments during the migration.

The Bigger Picture

HPE's pitch here is straightforward: enterprises are trying to modernize without ripping everything out and starting over. They want to keep running existing virtualized workloads while building out container-based and AI-native applications — and they want to do it with fewer tools and less risk.

These announcements don't require a major architectural shift to be useful. Most of the updates extend existing platforms and integrate with tools customers are already using. That's a deliberate choice. And for IT leaders who are tired of managing fragmented infrastructure while also fielding AI requests from every business unit, that might be exactly the right approach.

HPE Discover is next month in Las Vegas, where the company is expected to announce additional updates across networking, AI, and hybrid cloud.

HPE Brings NVIDIA Vera Rubin and Vera CPU to AI Factories and Supercomputers at GTC 2026

Mon, 16 Mar 2026 21:41:30 +0000

HPE used NVIDIA GTC 2026 to announce the most significant refresh of its AI infrastructure portfolio since the company started building exascale systems. The updates span two product lines — HPE's supercomputing platform and its AI Factory portfolio — and introduce both NVIDIA's new Vera Rubin architecture and the first Vera CPU compute blade from any vendor.

Here's what shipped and why it matters for developers and engineers building on large-scale AI infrastructure.

Supercomputing: First Vera CPU Blade and Quantum-X800 Networking

HPE is adding two new capabilities to the HPE Cray Supercomputing GX5000, its second-generation exascale platform designed to unify AI and HPC workloads.

The first NVIDIA Vera CPU compute blade. The HPE Cray Supercomputing GX240 is a liquid-cooled blade featuring up to 16 NVIDIA Vera CPUs per blade. The Vera CPU is NVIDIA's successor to the Grace CPU, built on custom ARM-based "Olympus" cores with 88 cores per chip. A single rack supports up to 40 blades — that's 640 Vera CPUs and 56,320 ARM cores per rack. HPE claims industry-leading density on the Vera platform.

For developers working on CPU-intensive AI workloads — data preprocessing, feature engineering, inference serving, simulation — this is the ARM density story reaching a new scale. The Vera CPU is purpose-built for AI data center workloads, not repurposed from another market.

NVIDIA Quantum-X800 InfiniBand networking. The GX5000 now supports Quantum-X800 InfiniBand switches with 144 ports of 800 Gb/s connectivity per port. For teams running distributed training or large-scale inference across thousands of GPUs, the networking fabric determines how efficiently you can scale. Quantum-X800 also includes power-efficiency features such as low-power link state and power profiling — relevant when your electricity bill is a meaningful line item.

HPE has built the three most powerful exascale supercomputers in the world (validated by the November 2025 TOP500). This update keeps the Cray platform up to date with NVIDIA's latest silicon.

AI Factory: Vera Rubin NVL72 and Double-Density GPU Servers

The AI Factory portfolio targets service providers, sovereign entities, and large enterprises running AI at scale. Two new systems stand out.

NVIDIA Vera Rubin NVL72 by HPE. This is the flagship: a rack-scale AI system engineered for frontier models exceeding 1 trillion parameters. Each rack includes 36 Vera CPUs, 72 Rubin GPUs, NVLink interconnects, ConnectX-9 SuperNIC, and BlueField-4 networking. HPE provides liquid-cooling integration, services, and data-center design expertise.

The Vera Rubin platform represents a generational leap. NVIDIA claims 3.3x to 5x inference performance improvement over Blackwell in FP4 workloads, a 10x reduction in inference token costs, and 4x fewer GPUs needed to train equivalent Mixture-of-Experts models. For developers building large-scale AI applications, the math changes — workloads that required massive GPU clusters on Blackwell become tractable on smaller Vera Rubin deployments.

HPE Compute XD700. This is an OCP-inspired AI server built on NVIDIA HGX Rubin NVL8. Each rack supports up to 128 Rubin GPUs — double the GPU density of the previous generation (the HPE ProLiant XD685). The design targets reduced space, power, and cooling costs while increasing training and inference throughput.

For teams that don't need a full NVL72 rack but want high-density GPU access for model training and inference, the XD700 is the more practical entry point.

Enterprise: Security, Multi-Tenancy, and Agentic AI

The enterprise announcements focus on HPE Private Cloud AI, the company's turnkey AI factory for organizations that need on-premises AI infrastructure.

Scaling to 128 GPUs. New network expansion racks let HPE Private Cloud AI deployments scale up to 128 GPUs while maintaining a consistent operational experience. Previously, Private Cloud AI topped out at lower GPU counts, limiting the size of models organizations could run on-prem.

Air-gapped configurations. For sovereign deployments and regulated industries, HPE Private Cloud AI is now available in an air-gapped configuration — fully isolated from external networks. If your data can't leave the building, this is the hardware option that makes AI possible under those constraints.

Confidential AI. HPE ProLiant DL380a Gen12 servers and Private Cloud AI systems are being certified for Fortanix Confidential AI, built on NVIDIA Blackwell Confidential Computing GPUs. Sensitive data gets processed without exposure.

CrowdStrike integration. CrowdStrike delivers agentic security for HPE Private Cloud AI — AI-powered threat detection protecting AI infrastructure, models, and the AI agents running across enterprise environments. As organizations deploy more autonomous AI agents, securing the infrastructure on which those agents run becomes a distinct problem.

NVIDIA AI-Q and Omniverse blueprints. Private Cloud AI ships with updated NVIDIA blueprints, including AI-Q for building customizable AI agents and Omniverse for digital twins. These are pre-configured stacks — hardware and software together — that reduce time to first deployment.

Agentic AI services hub. HPE Services is launching an agents hub for structured enterprise adoption of agentic AI, developing and validating agents powered by NVIDIA Nemotron models. This creates reusable patterns for organizations that want to deploy AI agents but need a structured approach rather than experimentation.

What Developers Should Know

Three things matter most from these announcements.

The Vera CPU is real and shipping in blades. HPE is the first vendor to put it in a compute blade product. If you're building for ARM-based AI infrastructure, the 88-core Olympus architecture, with 640 CPUs per rack, sets a new density benchmark.

Vera Rubin changes the economics. A 10x reduction in inference token costs and 4x fewer GPUs for MoE training means workloads that were cost-prohibitive on Blackwell become viable. For AI startups and research labs, the cost-per-token math is the number that determines what you can build.

Enterprise AI security is becoming a product category. Air-gapped configurations, confidential computing certification, CrowdStrike agentic security integration — these aren't afterthoughts. They're shipping alongside the compute hardware as part of the same product stack. As AI agents proliferate in enterprise environments, the infrastructure securing those agents matters as much as the infrastructure running them.

HPE's full GTC 2026 portfolio is available starting today. Initial Vera Rubin samples are expected to ship to tier-one customers by late 2026, with full production in early 2027.