Scylla AI - AST-48-9148 - Scylla AI Inference Server, 2U, 1TB

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Product Overview

The Exacq AST-48-9148 is a high-performance 2U Scylla Vanguard AI inference server for demanding large-scale video analytics deployments. Its 48-core CPU, 91 TFLOPS AI inference performance, and 48GB VRAM deliver maximum analytics throughput in a space-efficient rackmount chassis.

 

Key Configuration

Model: AST-48-9148 | Form Factor: 2U rackmount | CPU: 48-core | AI Performance: 91 TFLOPS | VRAM: 48GB | Storage: 1TB | Software: Scylla AI inference platform

 

Key Features

  • · 2U rackmount AI inference server
  • · 48-core CPU for high parallel processing capacity
  • · 91 TFLOPS AI inference performance
  • · 48GB GPU VRAM for concurrent analytics inference
  • · 1TB onboard storage
  • · Highest AI inference performance tier in the 2U AST lineup
  • · Supports simultaneous processing across Scylla AI analytics modules
  • · Combines high CPU parallelism with GPU inference capacity
  • · Space-efficient 2U chassis for data-center deployments

 

Technical Context

The AST-48-9148 performs Scylla AI inference locally while its 48-core CPU handles high-channel-count video processing and analytics preprocessing. Its 91 TFLOPS GPU tier maximizes concurrent inference capacity without requiring a larger 4U chassis.

 

Installation Notes

Install the server in a suitable ventilated 2U rack position with network connectivity to cameras and the exacqVision VMS environment. Configure Scylla licenses, camera assignments, storage, and analytics rules before operation.

General
Product ModelExacq AST-48-9148
Product SeriesScylla Vanguard AST Series
ApplicationLarge-scale AI video analytics and inference processing
Hardware
Form Factor2U Rackmount Server
Processor48-core CPU
AI Inference Performance91 TFLOPS
VRAM48GB
Storage1TB
AI Analytics and Processing
Analytics ThroughputMaximum AI inference performance available in a 2U AST server
Analytics CapacitySupports simultaneous processing across high camera channel counts and the full suite of Scylla AI analytics modules
CPU Processing48-core architecture for parallel video processing
GPU Processing91 TFLOPS inference performance with 48GB VRAM
Deployment
Recommended ApplicationLarge-scale deployments and data centers requiring maximum analytics capacity
Rack Space EfficiencyTop-tier AI analytics performance in a space-efficient 2U chassis
InstallationStandard 2U rackmount installation