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maximum reduction in
infrastructure Total Cost of
Ownership (TCO)
potential infrastructure
changes for AI teams
uptime for mission-critical
AI applications
A new AI infrastructure framework that unifies compute, data, networking, and security
into a governed, end-to-end architecture purpose-built to safely operationalize AI-ready
data centers at scale.
GPU-accelerated platforms (Cisco AI Pods, Dell AI Factory, HPE PCAI) provide consistent, scalable compute for GPU-ready data center, supporting AI training, inference, and real-time optimization.
AI-specific threat detection, full-stack encryption, and micro-segmentation protect sensitive workloads and meet strict regulatory requirements like HIPAA and GDPR.
EVPN-VXLAN fabrics with SDN orchestration deliver deterministic low-latency performance for GPU clusters in AI data center infrastructure ensuring stable throughput and high-speed east-west traffic.
Low-latency, high-throughput storage ensures uninterrupted access to models and datasets in enterprise AI infrastructure with hybrid-cloud integration for elastic scale.
Policy-driven automation and infrastructure-as-code reduce operational overhead by up to 90% while ensuring consistency, compliance, and seamless scalability.
Gruve delivers holistic, AI-native infrastructure designed for enterprise AI data centers, unifying networking, compute, storage, and AI workloads to ensure consistent performance, protection, and reliability across the entire stack.
Our multi-vendor strategy gives you flexibility without lock-in, delivering best-of-breed components that evolve with your AI roadmap.
Every transformation is engineered to your KPIs to maximize ROI and ensure measurable enterprise impact.
Our team has deployed AI ready data center infrastructure for Fortune 500, healthcare, financial services, industrial, and technology organizations operating under the most stringent performance and compliance requirements.
A global advertising technology company partnered with Gruve to modernize its compliance operations across advertising, content, and data privacy.
An AI-ready data center is engineered for GPU-intensive workloads and scalable AI Infrastructure with, low-latency networking, and secure, scalable operations. With optimized compute, storage, and automation, it ensures the performance and reliability required for modern AI applications. Gruve transforms your infrastructure into an AI-first environment built for scale, speed, and security.
Legacy architectures can’t support the bandwidth, performance, and reliability that AI workloads demand. AI-ready data centers accelerate time-to-market, reduce TCO, strengthen compliance, and eliminate operational friction —giving enterprises a decisive competitive edge.
Gruve integrates optimized networking, GPU platforms, AI-grade storage, zero-trust security, and intelligent automation. These pillars combine to deliver predictable performance, automated governance, and real-time observability across every data center site.
Automation and IaC reduce manual changes by up to 90%, ensuring consistent configurations, faster rollouts, and simplified compliance. AI-based governance continuously monitors performance, security, and workload health.
High-performance EVPN-VXLAN fabrics, intelligent load balancing, and GPU-aware orchestration maintain 99.99% uptime —even under peak AI workload demand.
Healthcare, financial services, retail, and global enterprises that depend on low-latency, highly available AI applications benefit significantly. A U.S. healthcare system achieved a 40% performance boost and 90% faster change cycles using Gruve’s approach.
Contact Gruve to schedule an assessment and receive a tailored roadmap based on your infrastructure maturity and AI adoption goals.