Insights from the AI Lab
Sponsored by Dell Technologies
Fresh insights from our datacenter in Colorado. Bringing real-world performance and analysis with hands-on testing of enterprise technologies.
Enterprise Inference Considerations on Dell PowerEdge XE7745
Discover how deployment choices on Dell PowerEdge XE7745 deliver 37% higher inference throughput or up to 1.7x more context capacity, revealing the tradeoffs between speed, concurrency, and memory for enterprise AI workloads.
- Brian Martin
Emerging Tech
GPU Acceleration
Server Platforms
Fine-tuning Small Language Models for the Edge
Better edge AI starts with the right fit. See what testing reveals about fine-tuning compact models, validating application behavior, and selecting the smallest model that reliably meets the task.
- Brian Martin
AI Networking
Emerging Tech
Server Platforms
Trusted Answers at Enterprise Scale
Advertised performance doesn’t guarantee trusted answers; explore which models retrieve, aggregate, and recognize missing information accurately as enterprise document loads grow.
- Mitch Lewis
Emerging Tech
Governing AI Economics: Sovereign Infrastructure and the Token Cost Equation
Agentic AI turns token spend into the fastest-growing budget line item; take control with owned economics on sovereign infrastructure.
- Brian Martin
AI Networking
Security
Server Platforms
Local Vector Search at 10-Billion Scale
AI Performance on Dell PowerEdge R770 with Dell PERC H975i
- Brian Martin
AI Networking
Storage Systems
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About the Lab
Introducing our AI Performance and PoC lab in Colorado:
- Built for benchmarking, iteration, and real-world results
- 3MW+ capacity with air-cooled systems today, liquid-cooled tomorrow
- Supports LLM training and inference, RAG pipelines, and computer vision
- Ready for next-gen accelerators with 400/800G fabrics, high-memory nodes, and scalable NVMe/object storage
- Engineers get secure remote access, reproducible testbeds, and deep observability
- Optimized for altitude efficiency and deployment flexibility
- Mission: Acceleration innovation to real-world AI impact
Network Topology Analysis: Scaling Considerations for Training and Inference
Rethink your AI fabric. Discover how rail-based architectures outperform traditional networks, reducing cost and complexity while enabling massive scale for LLMs and MoE models.
Enterprise Digital Twins Transforming Modern Data Center Development and Operations
Reimagine your data center lifecycle. Enterprise digital twins accelerate design, cut costs, and optimize operations with AI-driven insights and real-time visualization.