Open systems at hyperscale
MTIA generations, Llama infrastructure, OCP systems, fabric evolution, storage, power and liquid-cooled rack strategy.
Deepest systems coverageTPU as a vertically integrated platform
TPU generations, XLA, Pathways, optical fabrics, cluster topology and the economics of internal workload control.
Silicon + software co-designAzure silicon and heterogeneous compute
Brainwave, Maia, Cobalt, SmartNIC evolution, rack-scale deployment, cloud orchestration and external accelerator mix.
Fleet-level optimizationInfrastructure primitives at cloud scale
Nitro, Graviton, Inferentia, Trainium, EFA, UltraClusters and the software path from silicon to managed service.
Cloud-native vertical stackThe rack becomes the product
GPU roadmaps, Grace, NVLink, NVSwitch, Spectrum, Quantum, DGX and the transition from chips to full AI factories.
Platform ecosystemExtreme-speed cluster deployment
Deployment velocity, dense GPU systems, networking, power sourcing, cooling and operational scaling questions.
Build-speed case studyCloud infrastructure for large AI estates
Bare-metal positioning, GPU clusters, networking partnerships, customer concentration and capacity economics.
AI cloud challengerNeoclouds and sovereign AI
CoreWeave, Crusoe, Lambda, Nebius and regional infrastructure platforms changing how capacity is financed.
Expansion roadmapStrategy matrix
Compare build-versus-buy, silicon control, software maturity, networking, facilities and capital intensity.
Coming nextDifferent paths to vertical integration.
A conceptual matrix showing where strategic control is concentrated.
Hyperscaler control matrix
Illustrative emphasis, not measured performance.
Every company. The same systems lens.
Silicon
Accelerators, CPUs, NICs, memory and roadmap logic.
Systems
Servers, racks, topology, serviceability and deployment.
Software
Compiler, runtime, orchestration and workload integration.
Economics
Utilization, build-versus-buy, CapEx and supplier leverage.