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.
AI On-Premises: A Look at OpenAI GPT-OSS-120B
Bring AI in-house without compromise. OpenAI’s OSS-120B model, tested on Dell PowerEdge with NVIDIA and AMD GPUs, proves enterprises can achieve cloud-class performance on-prem while keeping full control of their data.
- Brian Martin
Emerging Tech
GPU Acceleration
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.
- Brian Martin
AI Networking
GPU Acceleration
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.
- Brian Martin
Emerging Tech
Optimizing AI Workloads with Dell Ethernet Infrastructure
Unlock 400G networking at scale. Dell PowerSwitch Z series plus 400G NICs deliver lower latency, higher throughput fabrics that keep GPUs busy and jobs moving.
- Brian Martin
AI Networking
GPU Acceleration
AI Storage Pipeline Acceleration with Dell PERC H975i (PERC13)
Meet the RAID controller built for AI. Dell PERC13 delivers higher IOPS, fast rebuilds, and balanced throughput so data keeps up with accelerated training and inference.
- Brian Martin
Server Platforms
Storage Systems
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Latest Insights
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.