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ULTRASTACK 30 - AMD MI350P (Liqid)
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| Max Gpu Count | 8 |
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| Description | |
| Key Feature | |
| Onboard Network | |
| Product Name |
| SKU | ULTRASTACK 30 - AMD MI350P |
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| Tagline | |
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| GPU count (headline) | |
| Aggregate HBM (headline) | |
| FP8 performance (headline) | |
| Scale-up description (marketing) |
| GPU limits of traditional servers (marketing) |
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| CPU platform (marketing) |
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| Tokenomics - tokens per second |
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| Tokenomics - tokens per dollar |
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| Tokenomics - tokens per watt |
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| Deployment cost reduction (marketing) |
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| Power reduction (marketing) |
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| Why Liqid |
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| Key Advantage - Breakthrough Scale-Up Density |
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| Key Advantage - Superior Tokenomics |
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| Key Advantage - Lower Cost & Power |
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| Key Advantage - CXL memory-pooling ready |
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| Built For |
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| Ideal for |
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| Node type (headline) |
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| Manufacturer |
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| Manufacturer address |
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| Contact - office phone |
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| Contact - email |
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| Patent No. |
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| Datasheet revision date |
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| Host Server |
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| Management Appliance |
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| GPUs |
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| AI Performance |
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| GPU HBM Memory |
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| GPU Pooling Fabric |
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| Expansion Chassis |
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| NVMe Storage |
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| Orchestration |
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| Memory Expansion |
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| Total System Power |
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| Performance per kW |
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| HBM per kW |
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| HBM per PFLOP |
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| Efficiency Proof Points footnote |
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| System composition diagram |
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| Key Feature |
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| Key Feature |
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| Key Feature |
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| Key Feature |
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| Key Feature |
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| Key Feature |
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