Explore our infographic to learn how CoreSite supports GPUaaS, AI training and high-density cloud infrastructure deployments!
Our Infrastructure is Your Competitive Edge
CoreSite Sets the Foundation for Cloud Provider SuccessCoreSite is your partner in GPUaaS. With over two decades committed to operational excellence, CoreSite brings AI-ready infrastructure, technical expertise, security and a robust service delivery platform – enabling you to focus on your business and your customers’ AI-driven workloads.
Redundant power and cooling systems ensure high availability and business continuity.
CoreSite’s data center operations professionals are highly skilled in remote hands services and incident response via our unique qualification program that combines hands-on experience, continuous learning and rigorous testing.
Direct connections to every major cloud provider reduce data egress fees and establish secure, high-bandwidth access to cloud services.
Open Cloud Exchange® (OCX), CoreSite’s network services management platform, makes it easy for cloud providers to manage their interconnection over our private nationwide network backbone.
Expand GPU services to new markets by establishing a point of presence (PoP) within CoreSite’s data centers for low latency, seamless connections.
CoreSite’s multi-site, multi-market interconnection capabilities offer a simple way to partner with and source trusted suppliers within CoreSite’s data center platform.
By maintaining compliance with industry standards— SOC 1 Type 2, SOC 2 Type 2, ISO 27001, NIST 800-53, PCI DSS, and HIPAA—CoreSite helps address regulatory requirements.
Whether direct or through trusted partners, CoreSite can facilitate the migration of your systems and workloads while keeping mission-critical applications running and secure.
GPUaaS: How STN and CoreSite Built the Infrastructure Behind Skild AI at CH2
“During the six years that we’ve been collaborating with CoreSite, I’ve had my trust in their data centers, and their people, grow such that I was confident we could deploy the infrastructure envisioned for Skild AI.”
SABUR MIAN
CEO and Co-Founder, STN
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Frequently Asked Questions
There are 4 primary types of cloud providers:
- Public cloud providers (e.g., AWS, Azure, Google Cloud)
- Private cloud providers
- Hybrid cloud providers
- Neocloud providers specializing in GPUaaS and AI workloads
Each type serves different performance, control and scalability needs.
A neocloud is a cloud provider purpose-built for AI workloads. Neoclouds deliver GPU-as-a-Service (GPUaaS) and scalable infrastructure optimized specifically for AI training and inference.
Unlike traditional cloud environments, neocloud platforms are built for:
- High-density GPU clusters
- Energy-intensive AI workloads
- Low-latency data access
- Rapid scalability
- Performance-driven infrastructure
These workloads demand resilient power, advanced cooling and rich interconnection ecosystems — all foundational capabilities within CoreSite’s data center platform.
Certified as part of the NVIDIA DGX TM -Ready Colocation Data Center program, confirms that CoreSite can provide the power, cooling and interconnection needed to host scalable, high-performance infrastructure for organizations looking to capitalize on rising demand for artificial intelligence (AI), machine learning (ML) and other high-density applications.
AI-driven initiatives and GPU-accelerated computing have sparked the entrance of a new class of cloud provider. Neoclouds have emerged to meet the rising demand for AI-driven workloads, powered by dense, energy-intensive GPUs that fuel today’s computational demands. Offering GPUs as-a-Service (GPUaaS) to their customers, neoclouds can help organizations deploy their AI strategies by providing the integrated, specialized AI infrastructures without the heavy capex investment.
A private cloud is a dedicated cloud computing environment designed for a single organization. It offers greater control, security and customization capabilities. Private clouds may be hosted on-premises or collocated within a third-party data center such as CoreSite.
Some top reasons from CoreSite’s Why Choose Colocation blog, include:
- Flexibility: From single cabinet to full cages and suites, CoreSite has the space based on your exact needs.
- Reliability: Redundant power, cooling, UPS systems and generators deliver high resiliency and uptime.
- Connectivity: Direct, secure access to multiple carriers, ISPs and cloud providers for low‑latency interconnection.
- Expertise: CoreSite’s specialists help design, manage and support your deployments, including remote hands.
- Security and Compliance: Robust physical security plus key certifications such as SOC 1/2 Type 2, ISO 27001, NIST 800‑53, PCI DSS and HIPAA.
- Disaster Recovery: Tailored DR and backup options to maintain up-time and minimize data loss.
Both are AI models, but they operate at different scopes:
- Generative AI (GenAI): Broad category of AI that creates new content—text, images, code—by learning patterns in data and generating original outputs.
- Large Language Models (LLMs): A specific type of GenAI, such as ChatGPT, that is trained on massive text datasets to learn language patterns and predict the next likely word, enabling natural language generation.
Inferencing is a phase within these AI models. Where training (i.e., generative AI and LLMs) is the process of teaching the AI model a skill, inference is the process of putting that skill to use. Inferencing in ChatGPT, for example, occurs when a prompt is entered, the trained LLM performs inferencing by taking the input data, processing it, and generating a response in real-time by using the knowledge it acquired during its training.