Is Building AI in the Cloud Really the Best Option?
Our specialized expertise in on-premises AI infrastructure helps enterprises reduce costs by up to 40% while maintaining performance, optimizing LLMs with vLLM and Red Hat technologies for sustainable, scalable AI implementations.
On-Premises AI Deployments
We specialize in designing and implementing production-ready on-premises AI infrastructure that delivers cloud-like flexibility with greater control and cost efficiency. Our certified specialists provide:
- Hardware optimization strategies for AI/ML workloads that maximize performance
- LLM deployment architectures that balance resource utilization and inference speed
- Scalable infrastructure designs that grow with your AI implementation
- AI-optimized Kubernetes environments configured for specific workload requirements
- Secure deployment frameworks that protect sensitive AI models and training data
Cloud-to-On-Prem Migration
We help organizations transition AI workloads from cloud platforms to on-premises infrastructure when cost, security, or performance considerations make it the optimal choice. Our approach includes:
- TCO analysis comparing cloud vs. on-premises AI infrastructure costs
- Migration roadmaps that minimize disruption to AI services
- Hybrid deployment models that balance cloud flexibility with on-premises economics
- Performance benchmarking to validate on-premises implementations
- Optimization strategies that reduce infrastructure costs by up to 40%
AI Optimization & Tuning
Our specialists apply deep expertise in LLM optimization technologies to maximize AI performance while minimizing infrastructure costs. We implement:
- vLLM acceleration to improve inference throughput and reduce latency
- Red Hat Inference Server configurations optimized for specific model architectures
- Multi-model serving strategies that maximize hardware utilization
- Quantization techniques that reduce model size while maintaining accuracy
- Resource allocation frameworks that prioritize critical AI workloads
Two Paths to AI Success
Just Getting Started with AI
For organizations beginning their AI journey, we provide:
- AI infrastructure assessment to determine optimal deployment approach
- Proof-of-concept designs that validate business use cases
- Initial implementation roadmaps with clear ROI expectations
- Knowledge transfer to build internal AI infrastructure capabilities
- Scalable foundation architectures that grow with your AI maturity
Scaling and Moving Off Cloud
For organizations facing cloud cost challenges, we deliver:
- Cost optimization analysis identifying cloud vs. on-premises economics
- Migration strategies from cloud AI services to on-premises infrastructure
- Performance tuning to maintain or improve AI capabilities post-migration
- Hybrid architectures balancing on-premises and cloud resources
- Long-term infrastructure roadmaps supporting expanding AI use cases
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Use Cases
Enterprise Chatbots
Content Generation & Transformation
Powerful content creation capabilities to supercharge marketing, documentation, and customer communications. Create and optimize content at scale with infrastructure that processes millions of tokens hourly while maintaining enterprise security and compliance requirements.
Intelligent Document Processing
Transform your approach to document handling with AI-powered extraction and analysis. Process thousands of pages per minute with GPU-accelerated document analysis that integrates seamlessly with your existing document management systems.
Why Choose Shadow-Soft for AI Infrastructure
17+ years supporting customers with enterprise open source implementations
Red Hat Premier Partner with deep expertise in the complete Red Hat portfolio
Deep Kubernetes expertise essential for modern AI infrastructure
Proven delivery methodology ensuring successful outcomes
News and Resources
Modernize with OpenShift Virtualization: A Journey Beyond Cost Savings
Learn why migrating to Red Hat OpenShift Virtualization is more than just a cost-saving measure – it's an opportunity to embark on a modernization journey.
Achieving Intelligent Observability with Dynatrace and Red Hat OpenShift: Shadow-Soft's 4-Week Pilot
Shadow-Soft, a trusted partner of Red Hat® and Dynatrace®, is excited to announce a new 4-week pilot engagement that combines the power of Red Hat® OpenShift® with Dynatrace's advanced observability and AI-driven monitoring capabilities.
Shadow-Soft Joins Red Hat Partner Practice Accelerator Program
Shadow-Soft announces its participation in Red Hat Partner Practice Accelerator, a specialized growth pathway for select partners with validated professional services delivery capabilities.
AI Infrastructure Client Stories
Large Enterprise with Hundreds of Locations Modernizes Infrastructure and Applications with Red Hat OpenShift
We partnered with our client facing significant infrastructure challenges. Through an upgrade of their Virtualization platform and deployment of OpenShift, they achieved remarkable results.
Insurance Claims Provider Migrates from VMware to OpenShift Virtualization, Avoiding 400% License Price Increase
Insurance provider cuts costs by migrating from VMware to Red Hat OpenShift Virtualization, avoiding a 400% license price hike while enhancing scalability and future-proofing their IT infrastructure.
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Read our guide that details the 5-Step Roadmap for Upgrading Legacy Systems and Apps.