Core AI – Metis Platform
Powerful servers with rich IO interfaces for mixed workloads
The Metis AI optimized series is designed for enterprises and data centers requiring scalable and powerful AI solutions. This series combines cutting-edge technology with flexibility to support large-scale AI deployments and real-time data processing.
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Predictable operational costs
On‑premises hardware avoids cloud consumption volatility, resulting in stable, predictable operating costs
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NVIDIA AI Framework compatible
Fully compatible with NVIDIA’s software stack, ensuring seamless development, deployment, and scaling of AI workloads
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NVIDIA approved hardware
Validated and certified hardware platforms that meet NVIDIA’s performance and reliability standards for enterprise AI
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Turnkey AI deployment
Pre‑integrated, production‑ready AI solutions that accelerate time‑to‑value with minimal engineering effort
Benefit
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Scalability
Easily scales to meet the demands of growing AI and data processing needs
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Efficiency
Engineered for optimal power and cooling efficiency, reducing operational costs
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Versatility
Suitable for a wide range of applications, from AI to data analytics and more
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Cloud vendor independence
Ensures flexibility and freedom from cloud provider constraints
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Predictable costs
Provides control over fixed GPU computing costs, fostering budget stability
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Centralized management
Prodrive’s centralized management platform facilitates efficient server operations and optimizes capacity usage
Application areas
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General-purpose inference
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Hybrid AI workloads
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Data preprocessing and feature engineering
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On‑premises AI adoption programs
Markets & industries
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Industrial automation & inspection
Predictable performance for complex inspection systems, robotics, quality control, and factory automation
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Medical imaging and healthcare IT
Imaging modalities, diagnostic systems, and clinical data pipelines where reliability and long availability are essential
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Telecommunications and networking infrastructure
Consistent performance in virtualized network functions, edge compute nodes, and distributed systems in core and access networks
Technical specifications:
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