HPE Apollo 6500 Gen11

Brand: HPE | Category: Servers

SKU: 867471-B21 | Part #: 867471-B21 | MPN: 867471-B21

Contact for Pricing — Request a Quote

At 240 processor cores and 16TB of DDR5 memory capacity, the HPE Apollo 6500 Gen11 (part number 867471-B21) exists at the upper boundary of what single-socket and multi-socket server architectures can deliver in a 4U form factor. This is not hyperbole about scale—these are the actual ceiling numbers that determine whether infrastructure can absorb growth or requires a fork-lift upgrade eighteen months into deployment. For storage architects and AI infrastructure teams planning large-scale model training, vector database clusters, or high-concurrency analytics workloads, those three numbers—core count, memory headroom, and 120 NVMe drive bays—are the conversation starters that either unlock a deployment path or force a redesign.

HPE engineered the Apollo 6500 Gen11 around Intel Xeon Scalable processors (4th and 5th generation), a pairing that lets organisations build compute estates without fragmenting across different instruction sets or microarchitecture assumptions. The 240-core configuration represents a meaningful jump over prior generations, and when paired with the native DDR5 support across all DIMM slots, the memory bandwidth available to applications reaches levels previously seen only in custom-built systems or specialised research platforms. In production environments where data scientists or infrastructure teams need to move multi-terabyte datasets through cache hierarchies without bottlenecking, that DDR5 bandwidth is operational—not marketing messaging. The Apollo 6500 Gen11 part number 867471-B21 is engineered to absorb that load without thermal or power delivery trade-offs that would force clock-speed throttling during sustained workloads.

Storage positioning within this platform deserves explicit attention because 120 drive bays in a 4U chassis forces architectural decisions that ripple through the entire storage tier. NVMe-only configurations at that scale mean organisations can retire SATA-era assumptions about tiering and instead build all-flash strategies where capacity and performance are no longer orthogonal concerns. HPE's drive bay density in the Apollo 6500 Gen11 makes sense only if you have workloads that justify it—not because the bays exist, but because applications like machine learning model serving, real-time analytics, or multi-tenant vector databases genuinely consume that I/O throughput. Network engineers and storage architects at hyperscalers, AI labs, and large financial institutions are the personas who spec this hardware; they arrive at 120 bays because their workloads demand it, not because they're buying empty capacity.

Connectivity is equally scaled: the Apollo 6500 Gen11 ships with 8 ports of 100GbE networking, a configuration that assumes you're building systems where the server itself will not become a network bottleneck even under sustained, parallel I/O patterns. That density—combined with 20 GPU slots for accelerated compute—positions this platform as a focal point for distributed training, inference serving at scale, or batch processing pipelines where a single system can absorb the work of clusters built on smaller platforms. HPE designed this architecture so that procurement, space, power, and cooling budgets concentrate into fewer, denser systems; the trade-off is that you must actually need that density. For sysadmins evaluating multi-node versus consolidated strategies, the Apollo 6500 Gen11 part number 867471-B21 often tips the analysis toward consolidation when workloads are sufficiently demanding and co-location is operationally feasible.

The decision to deploy HPE infrastructure at this scale is architectural, not incremental. Organisations commit to the Apollo 6500 Gen11 because they've mapped their compute roadmap—whether in AI, analytics, or high-frequency applications—and concluded that maximum cores, maximum memory, and maximum storage in a single chassis reduce operational complexity more than it creates it. That clarity requires partnership with suppliers who understand the nuances of large-scale deployments and can navigate procurement, configuration, and integration in markets where lead times and local support matter. Omnixon Global holds HPE inventory and expertise across the GCC and extended Asia-Pacific regions; we work directly with data-centre teams, AI research groups, and enterprise infrastructure organisations to validate specifications, confirm availability, and structure deployments that match both technical requirements and budget cycles. To explore configurations, confirm stock position, or discuss deployment scenarios for the Apollo 6500 Gen11, submit a request for quotation through our technical sales team.

Compute and Memory Architecture

• 240 processor cores via Intel Xeon Scalable 4th and 5th generation processors with native DDR5 support across all DIMM slots
• 16TB maximum memory capacity, enabling large-scale in-memory datasets and concurrent multi-threaded workloads without paging overhead
• 120 NVMe drive bays in SFF form factor, supporting all-flash storage strategies with high aggregate I/O throughput
• 20 GPU slots for accelerated compute, distributed training, or inference serving workloads alongside CPU-intensive operations
• 8 ports of 100GbE networking to eliminate network I/O as a scaling constraint in high-bandwidth applications
• 4U form factor balancing density with thermal and power delivery management in standard data-centre rack environments
• Part number 867471-B21 configuration certified for HPE ProLiant and Apollo product ecosystems, with published BIOS and firmware roadmaps