Exacq AST-84-5X Scylla AI Inference Server, 2U, 84Cores, 1TB
SKU
AST-84-5X
Model No
AST-84-5X
Call For Price: 800-955-5201
Product Highlights
- 2U rackmount AI inference server; 84-core CPU; mid-tier GPU inference performance (5X GPU tier); 1TB storage; Linux OS; Scylla AI analytics pre-configured for exacqVision VMS integration
- Optimized for deployments where CPU compute density is the primary scaling constraint: the 84-core configuration addresses CPU bottlenecks that arise at very high camera channel counts even when GPU inference capacity is not yet saturated
- Pre-configured Scylla AI analytics and exacqVision VMS integration; pairs with Scylla analytics licenses (SCY-O bundle or individual analytic SKUs)

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The Exacq AST-84-5X is a 2U Scylla Vanguard AI inference server with 84 cores — the highest CPU core count in the AST-series 2U lineup, positioned above the 64-core AST-64-9148 in CPU compute density. The "5X" GPU designation indicates a mid-tier GPU configuration (TFlop rating between the lower-tier and 91 TFlop top tier), providing a balance of GPU inference throughput and maximum CPU-side parallelism for high-density multi-analytics deployments.
Features
- 2U rackmount AI inference server; 84-core CPU; mid-tier GPU inference performance (5X GPU tier); 1TB storage; Linux OS; Scylla AI analytics pre-configured for exacqVision VMS integration
- 84 cores — the highest CPU core count available in a 2U AST-series server — provides exceptional CPU-side parallelism for high-channel-count deployments where simultaneous video decoding, pre-processing, and analytics management across many streams create CPU-bound demands alongside GPU inference
- Optimized for deployments where CPU compute density is the primary scaling constraint: the 84-core configuration addresses CPU bottlenecks that arise at very high camera channel counts even when GPU inference capacity is not yet saturated
- Pre-configured Scylla AI analytics and exacqVision VMS integration; pairs with Scylla analytics licenses (SCY-O bundle or individual analytic SKUs)
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