AI Infrastructure Solutions

Training large language models demands extraordinary compute power, memory bandwidth, and storage throughput. Organizations face challenges with GPU availability, training cost optimization, and ensuring their models are developed within ethical and regulatory boundaries.

Carlo Edge AI servers deliver the dense GPU configurations, high-bandwidth memory, and massive storage capacity needed for efficient LLM training—while Carlo PEaaS ensures your training processes adhere to organizational policies and regulatory requirements from day one.

Edge AI applications demand millisecond response times, local data processing, and reliable operation in distributed environments. Traditional cloud-based AI introduces unacceptable latency and data sovereignty concerns for many use cases.

Carlo Edge AI infrastructure brings enterprise-grade GPU compute to the edge with direct CPU-GPU architecture that eliminates latency bottlenecks. Deploy AI inference, computer vision, and real-time analytics where your data lives—with Carlo PEaaS governance ensuring consistent policy enforcement across all edge locations.

Regulated industries face unique challenges deploying AI: stringent data privacy requirements, industry-specific compliance mandates (HIPAA, SOX, FedRAMP), and the need for complete audit trails. Cloud-based AI solutions often cannot meet these requirements.

Carlo Edge AI provides on-premises infrastructure specifically designed for regulated environments. Combined with Carlo PEaaS policy enforcement, organizations can deploy AI with confidence—knowing that every model, every inference, and every data access is governed, logged, and compliant.

Modern enterprises need the flexibility of cloud with the control of on-premises infrastructure. Sovereign AI requirements—keeping data within national borders—add another layer of complexity to hybrid deployments.

Carlo Edge AI enables true hybrid AI architectures where sensitive workloads run on-premises while leveraging cloud for burst capacity. Carlo PEaaS provides unified governance across all deployment locations, ensuring consistent policies regardless of where your AI models operate.