Pain points
Scale and reliability
The surge in AI workloads, hybrid cloud adoption, and digital transformation is straining colocation infrastructure. Analysts note that modern colocation facilities must handle massive AI-driven power demands, and still meet stringent uptime SLAs, typically “five nines” (99.999 %) availability. Downtime is costly, so clients invest in redundant power, backup generators, and advanced cooling to maintain reliability.
Low latency requirements
Real-time applications such as IoT, robotics, and autonomous systems require rapid data processing. Edge computing addresses this by processing data locally and eliminating the delays of round-trip cloud communication. However, network topologies differ, and telcos cannot always guarantee the ultra-low latency that some applications demand; clients need to carefully evaluate where edge nodes should sit in the network to meet latency requirements
Hybrid footprint decisions
Choosing between on-prem, colocation, cloud, and edge for each workload is complex, especially with rising energy costs and sustainability mandates.
How Thomson helps
We evaluate your current data center and edge footprint, power requirements, and regulatory needs, then design a hybrid infrastructure that places each workload where it performs best. We help you compare colocation options like secure cabinets and cages, assess carrier edge platforms like bare-metal services, and integrate them with your cloud and network strategies.
Our team negotiates carrier and colo contracts, documents uptime and SLA expectations, and advises on energy-efficient cooling and backup power. Throughout, we remain transparent, your objectives drive the recommendations
