AVGPC 2U 24-Bay 2x Xeon 4310 128GB DDR4 1TB NVME 2x 8TB SSD
- 128 GB
- 1 TB
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A rack-mount server with two 2.9 GHz Xeon Gold 6226R processors, 256 GB DDR4 ECC memory, a Smart Array P408 SAS controller, dual 10 GbE and dual 1 GbE networking.
The HPE ProLiant ML350 Gen10 8SFF arrives with two Xeon Gold 6226R processors at 2.9 GHz, 16 cores each and 22 MB cache, plus 256 GB DDR4 ECC registered memory across 16 modules. It targets workloads that need strong multi-threaded performance and high memory density in a 4U rack footprint.
The chassis includes two 500 W Flex Slot power supplies and an Intel I350/X540 quad-port card delivering two 10 GbE and two 1 GbE links. Verify your rack PDU connectors, switch port speeds and available 4U space; a rail kit is offered separately and is not installed.
The onboard P408 SAS controller manages the eight front bays; no drives are installed so you choose capacity and redundancy. Integrated graphics handle console output, while iLO Advanced provides remote management. Memory scales to 3 TB when the workload grows.
Measured against everything we stock in Rack & Tower Servers, at today’s prices. Recalculated every night.
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| Product | |
|---|---|
| Brand name | HP |
| Product line | ProLiant |
| Model name | Rack Mount |
| Product type | Rack |
| Processor | |
| Processor | Intel Xeon |
| Processor speed | 2.9 GHz |
| Installed CPUs | 2 |
| Max supported CPUs | 2 |
| Memory | |
| Installed RAM | 256 GB |
| Type of memory | DDR4 |
| Maximum RAM capacity | 3 TB |
| Storage | |
| Installed storage | 4,80 |
| Disk controller | HPE Smart Array P408 SAS Controller |
| Drive interface | SAS |
| Graphics | |
| Graphics chip | Integrated Graphics |
| Size & build | |
| Product dimensions | 36 × 24 × 10 in |
| More details | |
| Management controller | HPE iLO Advanced |
The chassis holds eight 2.5" bays and no drives are installed; you must add SAS drives separately.
Two Xeon Gold 6226R processors are installed, each with 16 cores running at 2.9 GHz.
256 GB is installed across 16 slots, leaving room to expand up to 3 TB for larger datasets.
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