HPE Alletra 儲存 MP X10000 Release 4 is now generally available, and it delivers the scale-out HPE previewed at its GreenLake update in May: a single cluster now runs up to 16 nodes and 16 JBOFs, roughly twice the performance and twice the capacity of the prior release, and scales to approximately 23PB of raw capacity in one system. Native-namespace NFS lands alongside the platform’s object storage in the same release, so file and object run as first-class protocols on one system with no translation layer and no second silo. The platform also carries the 100% data availability guarantee for file and object deployments that HPE introduced in May, on both CapEx and Flex purchases.
File and Object at Twice the Scale
The 16-node, 16-JBOF ceiling matters most for consolidation. The X10000’s disaggregated design scales compute nodes and JBOF capacity independently, so an organization can add nodes for concurrency or shelves for a larger data lake without a migration, and HPE’s pitch for Release 4 is that AI training, inference, analytics, and large unstructured repositories can now sit on one platform at that size. The NFS addition is what makes that workable for mixed estates. With NFS and S3 sharing a data foundation, the file-based pipelines that most enterprises still run don’t need a separate filer next to the object store.
RDMA for File, GPUDirect Storage, and In-Place Data Intelligence
Release 4 extends the platform’s RDMA acceleration from object to file, adds NVIDIA GPU直存 enablement, and HPE says the release readies the platform for NVIDIA AI Enterprise certifications. The X10000 was the first object storage platform to earn NVIDIA-Certified Storage validation, and HPE cites independent testing of the RDMA-accelerated X10000 for KV cache offload that showed up to 20x faster time to first token and up to 17x higher effective inference throughput.
The Data Intelligence platform that prepares data for AI inside the array also picks up NVIDIA NIM-based multimodal AI capabilities, multi-node data intelligence deployments, and support for customer-developed AI functions, so a customer’s own enrichment or classification logic can run in place against the repository without a separate data preparation stack.
KMIP, TLS 1.3, and Lighter Day-2 Operations
On the security side, Release 4 adds Key Management Interoperability Protocol (KMIP) external key management, TLS 1.3 enhancements, and what HPE describes as additional compliance and security improvements, with expanded support for disconnected and air-gapped deployments. HPE frames these as the door-openers for government and regulated industries that require key custody outside the storage system and operational isolation. Day-2 management includes software update orchestration, automated firmware management, and enhanced supportability and serviceability, and HPE is adding SaaS subscription terms of one, six, and seven years alongside the existing options.
Paired with HPE Data Fabric Software, the X10000 serves as the system of record for data at rest while the fabric handles a federated global namespace, lineage, geofencing, and sovereignty controls across edge, core, and cloud. HPE calls the combination its Unified AI Data Foundation. HPE Alletra Storage MP X10000 Release 4 is available now.
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