Key takeaways With the era-defining release of Grand Theft Auto VI (GTA VI), AI’s transformative impact, and new direct-to-consumer needs, the gaming technology space finds itself at a crossroads at the end of 2026. As hardware costs rises, many organizations are discovering that hyperscale infrastructure isn’t cost-effective for live-service titles …
Key takeaways As SaaS companies grow, they need infrastructure that will grow with them. Companies might need to scale up (adding resources to servers) or scale out (adding more systems, in more locations) depending on their growth strategies. A hybrid model often provides the best approach to scaling, enabling companies …
Key takeaways For streaming platforms serving educational institutions, infrastructure decisions have a critical impact on their ability to maintain margins. Cloud services with per-GB egress fees can reduce margins as streaming platforms expand their business to support growing demand. Bare metal infrastructure with flat monthly pricing helps platforms maintain margins …
Key takeaways Managing on-premises infrastructure can incur a “tax” of hidden operational complexity. Beyond monetary expenses, IT complexity restricts an organization’s speed and ability to innovate. Adopting a colocation model reduces the complexity tax, enabling internal teams to refocus on strategic projects. Every organization expects IT infrastructure to consume some …
Key takeaways Moving AI from experimentation to production introduces real-world challenges around performance, power, and cost. The NVIDIA L4 Tensor Core GPU gives organizations a highly efficient, single-slot form-factor accelerator for inference, graphics, and video workloads. Combining the NVIDIA L4 GPU with bare metal gives organizations consistent access to GPU …
Key takeaways Enterprise IT decision-makers are pulling AI workloads back from the public cloud to meet strict compliance requirements and avoid consumption-based pricing. The workloads share four traits: steady-state utilization, heavy data movement, latency sensitivity, and regulatory or sovereignty constraints. Instead of completely abandoning the cloud, organizations are adopting hybrid …
Dedicated, single-tenant servers give small language models and other inference workloads a private home, with NVIDIA L4 acceleration now available in US data centers Hivelocity today announced GPU acceleration is available across several of its Tier 3 bare metal bundles, giving customers a dedicated place to run small language models …
Key takeaways Added IT responsibilities put pressure on IT teams to scale capacity without adding personnel. Technology executives recognize that moving forward with new initiatives requires a new operating model. Shifting to a colocation model enables organizations to reclaim engineering time and refocus IT teams on higher-value work. Time is …
Key takeaways Responsive, human support from major cloud providers comes at an extra cost that grows alongside your spend. At a flat monthly price, the Hivelocity SaaS bundle provides 24/7/365 staffed support from actual humans, with a 15-minute average ticket response. Hivelocity’s self-serve capabilities and direct IPMI access allow customers …
Key takeaway Many workloads involved in supporting today’s live service games don’t require on-demand elasticity, but organizations are paying for it anyway. The Hivelocity Gaming Bundle provides three purpose-tiers that can be used to rehome workloads to reliable, cost-efficient bare-metal infrastructure. Hivelocity enables studios and developers to stay focused …
Key takeaway Clinicians spend nearly half their working time in electronic health record (EHR) systems. Slow, unreliable system performance create frustration, which can contribute to clinician burnout and turnover. Moving from the cloud to dedicated infrastructure can deliver more consistent, reliable performance and reduce user frustration. When a clinician …