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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11HPE and NVIDIA have expanded their existing enterprise AI collaboration, not announced a new partnership. The latest update, published September 28, 2026, adds plans to integrate NVIDIA’s OpenShell agent runtime into HPE Private Cloud AI and to support NVIDIA BlueField-4 systems across more of HPE’s AI portfolio. The OpenShell integration is planned for Q4 2026; BlueField-4 timing depends on product lead times.
What HPE and NVIDIA announced
The September update focuses on governing AI agents: software that can take actions using tools and access to data. HPE says it is integrating NVIDIA OpenShell into HPE Private Cloud AI, where it is intended to connect agent execution with enterprise identity, policies, approvals, observability and audit. HPE describes OpenShell as an open-source secure runtime that can support different models, harnesses and agents across cloud, hybrid, on-premises and air-gapped environments. HPE planned the integration for Q4 2026; that is an announced schedule, not confirmation that it is available now. HPE’s September 28 announcement gives the company’s account of the work.
The same post describes NVIDIA Sentry as an independent watchdog that monitors agent activity and applies policies out of band. Sentry runs on NVIDIA BlueField-4 data processing units (DPUs) and uses NVIDIA DOCA. HPE plans BlueField-4 support across its servers, AI rack-scale systems, Private Cloud AI, AI Factory at-scale and Sovereign AI Factory offerings. HPE ties timing to product lead times, so the announcement does not mean every listed system already supports it.
How the security layers differ
- Runtime controls: OpenShell is intended to govern what an agent can do and access while it runs, and to connect those actions to organizational policies and records.
- Infrastructure controls: Sentry adds monitoring and policy enforcement at the system layer, using BlueField-4 and DOCA.
These are HPE’s descriptions of the intended roles, not an independent assessment of security effectiveness. HPE also says NVIDIA Confidential Computing is planned for HPE AI Factory solutions through HPE Services in Q4 2026. Its release describes cryptographic attestation and encryption as part of a chain of trust, and says the capabilities can help address CMMC, NIST 800 series, STIG and FIPS requirements. HPE cautions that which requirements are addressed depends on configuration and deployment; this is not a blanket compliance guarantee.
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What NVIDIA AI Computing by HPE includes
NVIDIA AI Computing by HPE is the name for a portfolio of co-developed systems and go-to-market integrations. HPE and NVIDIA introduced it in June 2024, with HPE Private Cloud AI as a central offering. The original announcement described four right-sized configurations combining NVIDIA AI compute, networking and software with HPE storage, compute and GreenLake cloud capabilities for inference, fine-tuning and retrieval-augmented generation. The collaboration has since expanded across several types of infrastructure, rather than becoming one all-purpose machine.
| Offering | Role described by HPE | What to distinguish |
|---|---|---|
| HPE Private Cloud AI | Turnkey private enterprise AI factory | GPU configuration, scale, deployment controls and feature availability; 2026 updates include air-gapped deployment and agent-related capabilities. |
| HPE AI Factory at-scale and Sovereign AI Factory | Full-stack infrastructure for service providers, large enterprises and sovereign deployments | Scale, tenancy, sovereignty and control needs, networking, cooling and deployment timing. |
| HPE Cray Supercomputing GX5000 family | AI alongside high-performance computing and scientific workloads | CPU/GPU architecture, interconnect, workload mix, density, power and cooling. |
| HPE ProLiant DL394 Gen12 | Announced Private Cloud AI server featuring NVIDIA Vera CPU | It is a specific server model, but HPE said it expected availability in 2027; the announcement does not establish current availability. |
The scale figures in HPE’s announcements describe different configurations and should not be combined into a single capacity claim. In March 2026, HPE said Private Cloud AI network expansion racks could scale to 128 GPUs and scheduled them for July 2026. A separate June announcement described multi-node inference for up to 256 GPUs. One is a network-expansion-rack figure; the other is a stated inference capability. The announcements alone do not establish the current shipping status of the July-scheduled racks.
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HPE’s March GX5000 announcement gives another distinct set of product specifications: a GX240 compute blade can feature up to 16 NVIDIA Vera CPUs, and a rack can scale to 40 blades, or 640 Vera CPUs and 56,320 NVIDIA Olympus Arm-compatible cores. HPE also described Quantum-X800 InfiniBand switches with 144 ports, each offering 800 Gb/s connectivity. These are vendor-stated configuration details, not comparisons of real-world performance. HPE’s March 16, 2026 announcement covers the portfolio expansion.
What HPE’s performance claims mean
HPE has published performance figures for particular workloads, but they are not universal outcomes or independent benchmarks. In its June 2026 announcement, HPE reported a 20.4× improvement in time to first token (TTFT) in a test using a ProLiant DL380a Gen12, eight NVIDIA H200 NVL GPUs, Alletra Storage MP X10000 with three controller nodes, and the NVIDIA Nemotron 70B model with KV-cache-aware inference optimization. HPE also reported up to 20% higher token throughput, based on internal data across five standard Hugging Face inference and fine-tuning benchmark tests against three popular large language models on an HPE Private Cloud AI system. Results for a different model, configuration or workload may differ. HPE’s June 16, 2026 release describes these claims and configurations.
How the partnership has expanded
- June 18, 2024: HPE and NVIDIA introduced NVIDIA AI Computing by HPE, with co-developed solutions and joint go-to-market integrations, including HPE Private Cloud AI.
- March 16, 2026: HPE announced expansion across private cloud, AI factories, servers, storage, services and supercomputing. The company said Alletra Storage MP X10000 had become the first NVIDIA-Certified object-based storage platform.
- June 16, 2026: HPE detailed agentic AI governance and production features, additional AI Factory integrations, data services and inference capabilities, and announced the DL394 Gen12 with NVIDIA Vera CPU for expected availability in 2027.
- September 28, 2026: HPE described its OpenShell integration plans and future BlueField-4 support across its AI portfolio.
The dates matter: the latest agent-safety work extends a collaboration announced in 2024, while several 2026 capabilities were given future availability windows rather than being declared generally available. HPE’s announcements describe what it plans to deliver; they do not independently verify subsequent shipping status or security outcomes.
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