Discover how we implement enterprise-grade Generative AI solutions using Oracle Cloud Infrastructure's cutting-edge technology. From private Large Language Model (LLM) deployments on supercomputer-class clusters to sophisticated RAG implementations and custom model training, we provide the secure, high-performance infrastructure foundation your enterprise AI initiatives demand. Learn how our solutions leverage state-of-the-art NVIDIA H200 GPU clusters, enable comprehensive data processing, and support advanced enterprise AI capabilities while maintaining complete data sovereignty and security. As certified OCI partners, we help organizations harness the full potential of enterprise AI through expertly architected infrastructure solutions.

As a certified Oracle Cloud Infrastructure (OCI) partner, we specialize in implementing enterprise-grade AI solutions, focusing on secure and high-performance infrastructure deployments. Our expertise enables organizations to leverage OCI's cutting-edge AI capabilities while maintaining complete control over their data and models.

Private LLM Infrastructure

In today's enterprise landscape, deploying artificial intelligence solutions requires more than just software – it demands robust, secure, and highly performant infrastructure designed for intensive AI workloads. Our expertise lies in architecting and implementing Oracle Cloud Infrastructure's foundational AI solutions, including supercomputer-class clusters featuring NVIDIA H200 GPUs.

Our infrastructure solutions support deployment at various scales:

• Enterprise-grade Oracle supercomputing clusters with up to 65,536 NVIDIA H200 GPUs
• Bare metal instances each featuring eight NVIDIA H200s with 141GB HBM3e memory
• Dual 56-core Intel Sapphire Rapids 8480+ CPUs per node
• Custom-designed cluster networks using RDMA over Converged Ethernet (RoCE v2)
• High-speed 400 Gbps GPU-to-GPU interconnects via NVIDIA ConnectX-7 NICs
• 200 Gbps front-end networking for efficient large dataset movement

For model deployment, we implement sophisticated hosting clusters that can:

• Scale from single units to multiple replicas for increased throughput
• Host up to 50 models on the same cluster
• Support multiple versions of base models
• Maintain optimal performance with 76% more high-bandwidth memory than previous generation solutions

 

Enterprise AI Solutions

Our enterprise AI solutions portfolio encompasses a wide range of capabilities designed to transform your business operations. Drawing from extensive experience in enterprise deployments, we architect solutions that integrate seamlessly with your existing infrastructure while enabling powerful new capabilities:

• Conversational AI Infrastructure: We deploy the infrastructure required for sophisticated digital assistants and chatbots that can handle complex enterprise tasks such as inventory tracking, expense management, and sales forecasting, complete with multi-channel integration capabilities.
• Text Analytics Platform Infrastructure: Our infrastructure solutions support large-scale text analysis operations, enabling sentiment analysis, entity recognition, and automated translation services across your enterprise data.
• Speech Processing Infrastructure: We implement the necessary computing resources for real-time speech-to-text and text-to-speech operations, supporting features like profanity filtering and confidence scoring.
• Computer Vision Infrastructure: Our solutions provide the foundation for image recognition and visual analysis systems, supporting both pre-trained models and custom vision model training capabilities.
• Document Processing Infrastructure: We deploy the necessary infrastructure for automated document analysis and data extraction, enabling efficient processing of various document types at enterprise scale.

 

Enterprise Data Integration (RAG)

Retrieval-Augmented Generation (RAG) represents a significant advancement in enterprise AI capabilities, and we specialize in building the infrastructure foundation that makes it possible. Our RAG infrastructure solutions enable organizations to seamlessly integrate their proprietary data with large language models, creating AI systems that can access and understand enterprise-specific information while maintaining data security and accuracy.

We architect and implement the sophisticated infrastructure required for RAG operations, including high-performance vector databases, efficient document processing pipelines, and secure data integration layers. This infrastructure enables real-time data retrieval and integration during AI operations, ensuring that responses are always based on the most current enterprise information.

Our RAG infrastructure solutions are designed to handle diverse enterprise data sources, from internal documents and databases to knowledge bases and real-time data streams. We implement robust data preprocessing pipelines, efficient indexing systems, and high-performance query mechanisms that enable rapid information retrieval and integration with AI models.

Custom LLM Training

The ability to train and fine-tune large language models on proprietary data sets is crucial for enterprise AI success. We specialize in implementing the high-performance infrastructure required for LLM training operations, with automatic provisioning of appropriate cluster sizes:

• Dedicated fine-tuning clusters with model-specific configurations:
  • 8 units for large-context models like cohere.command with 16k context
  • 2 units for standard model fine-tuning operations
  • Support for concurrent fine-tuning of multiple models on the same cluster

Our training infrastructure supports the latest Meta Llama models, including Llama 2 and Llama 3 variants, as well as Cohere Command models in both small and large configurations. This infrastructure can deliver up to 260 exaflops of FP8 performance, making it suitable for the most demanding AI workloads.

Looking ahead, our infrastructure solutions are ready to scale with upcoming technologies, including support for next-generation NVIDIA Blackwell GPU deployments planned for 2025, which will enable even larger clusters of up to 131,072 GPUs.

 

Comprehensive AI-Powered Data Processing

In the realm of enterprise AI, the ability to process and analyze vast amounts of diverse data types is crucial. Our infrastructure solutions enable comprehensive AI-powered data processing across your organization's entire data landscape. We design and implement the foundational infrastructure that supports end-to-end data processing pipelines, from ingestion to analysis and actionable insights.

Our infrastructure solutions support multi-modal data processing, enabling organizations to handle text, speech, images, and documents within a unified framework. We implement highly available and scalable processing clusters that can manage enterprise-scale workloads while maintaining strict security and compliance requirements. This includes deploying specialized hardware configurations optimized for different types of AI processing tasks, ensuring optimal performance across all data types.

The infrastructure we deploy enables real-time processing capabilities essential for modern enterprise operations. This includes systems for streaming data analysis, batch processing of historical data, and hybrid approaches that combine both methods. We implement sophisticated data routing and processing pipelines that can intelligently distribute workloads across available resources, ensuring efficient utilization of your AI infrastructure investment. Our solutions also incorporate advanced monitoring and analytics capabilities, allowing organizations to track processing performance, resource utilization, and system health in real-time, enabling proactive optimization and maintenance of your AI-powered data processing infrastructure.