Integrated Cloud
Infrastructure
Cloud infrastructure with a platform above it.
DESIGNA connects application delivery, runtime execution, data and AI orchestration. Our public deployment runs on Google Cloud; our partnerships with Google, NVIDIA and AMD inform the wider cloud and accelerated-computing strategy.
Available foundation. The working platform brings together the Antigravity Kernel, domain onboarding, encrypted connections, customer boundaries and application operations. Each commercial deployment is sized for its workloads and service requirements.
Accelerated-compute direction. GPU and processor ecosystems extend what the platform can support as workloads grow. Andrew's hands-on multi-GPU hardware and cloud AI work connect that strategy to practical systems experience.
A staged infrastructure roadmap. Larger dedicated deployments, data centers, energy optimization and specialized computing are later stages of the same platform thesis. Eventual space-based compute is a research direction that depends on technical proof, capital and specialist partners.
Plan an infrastructure deployment
APPLICATION DELIVERY AND VALIDATION
The Antigravity Kernel runs PHP through WebAssembly. DESIGNA’s public website demonstrates WordPress delivery on that runtime. This work brings a different execution model to applications developers already know. The next comparisons will measure theme compatibility, plugin behavior, request latency, and capacity under load.
02 // HOSTED ON GOOGLE CLOUD
DESIGNA uses Google Cloud for its hosted services. The company works in partnership with Google, AMD, and NVIDIA. Its hosting work combines application delivery, domain routing, and encrypted connections. Deployment planning sets the location, resources, and availability requirements for each application.
03 // GPU HARDWARE AND CLOUD COMPUTING
Andrew’s hardware experience reaches back to 386-era IBM computers. His hands-on work includes splitting PCIe lanes to connect multiple GPUs through riser cables. More recently, he built a dual-GPU AI workstation with 128GB of memory and resolved firmware, driver, and runtime integration problems. His R&D connects cloud model training with local inference. That experience informs DESIGNA’s work on larger compute installations.
04 // AI-ASSISTED APPLICATION WORK
The Titan build required failure isolation across networking, certificates, runtimes, databases, and customer permissions. Andrew directed AI-assisted implementation while retaining responsibility for architecture and verification. Monitoring, isolated staging, and guarded releases connect that systems work to day-to-day application delivery.
05 // FROM APPLICATIONS TO COMPUTE FACILITIES
DESIGNA plans to expand from kernel distribution and consumer software into designing and building data centers. Proposed advanced development includes satellite, spacecraft, launch-vehicle and ground-system technologies. Solar-powered orbital compute remains a longer-term ambition. These activities require project approval, capital, specialist partners, validation and applicable authorizations; they are not current hosting-plan deliverables.
