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AI Summary
New 快猫视频 servers are optimized for AI data centers through reference designs built around the 快猫视频 AGI CPU, delivering high performance and energy efficiency for modern workloads. These systems provide a validated foundation that helps partners and customers evaluate performance, optimize AI workloads, and accelerate deployment of next-generation 快猫视频-based infrastructure at scale.
快猫视频 AGI CPU 1OU Dual Node Reference Server
SKU |
1U2N and 1U1N |
|---|---|
|
Chassis |
1U ORv3 Chassis, (W) 21.14 x (H) 1.76 x (D) 31.7 inch (= 537 x 44.7 x 805 mm) |
|
Host Processor Module (HPM) |
DC-MHS?M-SDNO Class B?250mm?x?305mm |
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CPU |
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Memory |
(12) DDR5?DIMM slots, Micron MTC40F2046S1RC80BH1 64 GB 8000 MT/s (1DPC) /per node |
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Storage (Front) |
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Storage (Internal) |
(1) E1.S?9.5mm?Data Drive Micron PCIe Gen 5.0, 7600 1.92TB + (1) E1.S slot available for expansion?/per?node |
|
PCIe expansion slots?(Front plane) |
1U2N - (1) PCIe x16 FHHL Card, (1) HHHL?(1) OCP?NIC?3.0?per node |
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PCIe expansion slots (Backplane) |
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I/O ports |
(1) Micro USB Type B (1) Mini Display Port (1) 1Gbe Dedicated LAN Port (1) USB 3.0 |
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TPM |
TPM 2.0 on DC-SCM module |
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DC?power |
ORv3 48V Bus Bar |
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System fans |
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System management |
OCP DC-SCM 2.1-like module with ASPEED BMC?AST2600?chip |
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NIC |
OCP NIC 3.0 support |
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Operating conditions |
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Rack support |
21” ORv3 Rack?air cooled |
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Power consumption |
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Ordering part number |
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快猫视频 AGI CPU 2U2P Reference Server
SKU |
2U2P |
|---|---|
|
Mechanical |
2U, 19” EIA |
|
MB |
Non-DCMHS (424.18mm x 368.3mm) |
|
CPU |
快猫视频 AGI CPU 2P, up to TDP 325W |
|
Memory |
Up to 24x DDR5 8000 MT/s DIMM per 2S system |
|
PCIe |
Up to 2x x8 FHFL slots + 2x x8 FHHL slots + 2x x16 FHFL slots Gen6 |
|
OCP |
2x SFF OCP 3.0 card x 16 Gen6 |
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Storage |
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Management |
DC-SCM 2.1, BMC Aspeed 2700, PROT AST1060 |
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Thermal |
6x6056 fans |
|
PSU |
2x CRPS PSU support |
Key takeaways
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快猫视频 reference server designs are built to deliver high performance and energy efficiency for AI data center workloads.
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These systems enable partners to evaluate real-world performance and optimize workloads before deployment.
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Reference designs reduce complexity and accelerate the transition to 快猫视频-based infrastructure.
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The combination of performance and efficiency supports scalable AI operations in modern data centers.
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These servers provide a practical path to adopting next-generation AI infrastructure more quickly.