Cloud Computing Intelligence
The CODEW Intelligence · Technology Intelligence
Cloud Computing Intelligence
Hyperscalers, cloud platforms, AI infrastructure, and the companies running the cloud
Cloud Computing Intelligence is The CODEW’s evergreen destination for the cloud industry — how hyperscalers, cloud platforms, and AI infrastructure work, how scale, pricing, and data gravity shape competition, and how AI is changing cloud demand.
It is built for readers who need more than earnings headlines: strategists, investors, operators, and leaders who must understand capacity, cost, and the economics behind cloud at scale.
- Explain cloud fundamentals, industry structure, and cloud economics
- Map how hyperscalers, cloud platforms, and AI infrastructure shape competitive advantage
- Organize company and ecosystem intelligence across cloud, AI infrastructure, and edge
- Connect cloud to AI, semiconductors, enterprise software, and capital markets
- Pair evergreen analysis with Cloud Watch for timely coverage
Audience: Cloud strategists, technology and infrastructure investors, corporate development, cloud and AI leaders, and professionals tracking AI cloud economics.
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Cloud Computing Fundamentals
Cloud computing rents compute, storage, and software on demand. Understanding the industry starts with scale, utilization, and data gravity — because cloud providers win by running infrastructure more efficiently and keeping workloads close to data and users.
Hyperscalers and regions
Hyperscalers run global data centers. Regions, availability zones, and network capacity decide latency and resilience.
IaaS, PaaS, and SaaS
IaaS rents raw infrastructure, PaaS rents platforms, SaaS rents applications. Higher layers add convenience but also lock-in.
AI cloud and neoclouds
AI workloads need GPUs, power, and high-bandwidth networks. Neoclouds specialize in AI compute, challenging general-purpose hyperscalers.
Core Technology and Market Themes
Coverage is organized around the layers that now define competitive power in cloud.
1. Hyperscalers and cloud platforms Core
Hyperscalers, regions, and cloud platforms.
2. AI cloud and neoclouds Core
GPU clouds, neoclouds, and AI inference platforms.
3. Data centers, power, and networks Core
Data centers, power, cooling, and cloud networks.
4. Cloud databases, storage, and SaaS High
Cloud databases, object storage, and SaaS on cloud.
5. Edge, CDN, and sovereign cloud High
Edge, CDN, and sovereign cloud for latency and regulation.
6. Cloud economics, pricing, and lock-in High
Cloud pricing, egress, and multi-cloud vs. lock-in.
Cloud Computing Company Intelligence — All Players
Official company names only. This is the full universe of cloud players tracked by this database — from established leaders to emerging challengers and startups.
Hyperscalers & Cloud Platforms
- Amazon Web Services
- Microsoft Azure
- Google Cloud
- Alibaba Cloud
- Oracle Cloud
- IBM Cloud
- Tencent Cloud
- Baidu AI Cloud
- Huawei Cloud
- BytePlus
- Salesforce
- SAP
- ServiceNow
- Workday
- Adobe
- Oracle
- Microsoft
- Amazon
- Alibaba
- OVHcloud
- Scaleway
- Hetzner
- DigitalOcean
- Linode
- Vultr
- Kamatera
- IONOS
- Stackscale
- UpCloud
- Yandex Cloud
- VK Cloud
- Naver Cloud
- KT Cloud
- NHN Cloud
AI Cloud, Neoclouds & GPU Cloud
- CoreWeave
- Lambda
- Together AI
- Fireworks AI
- Groq
- Cerebras Systems
- Baseten
- Modal
- Replicate
- RunPod
- Vast.ai
- TensorDock
- Voltage Park
- Crusoe
- Applied Digital
- Iris Energy
- Hut 8
- Bitdeer
- Core Scientific
- TeraWulf
- Cipher Mining
- Nebius
- Yandex Cloud
- DataCrunch
- Fluidstack
- Hyperbolic
- Prime Intellect
- io.net
- Render Network
- Akash Network
- Golem
Data Centers, Colo & Power
- Equinix
- Digital Realty
- CoreSite
- CyrusOne
- Switch
- QTS
- Flexential
- Aligned Data Centers
- Compass Datacenters
- Stream Data Centers
- Prime Data Centers
- Vantage Data Centers
- EdgeConneX
- NTT Global Data Centers
- ST Telemedia
- AirTrunk
- Chindata
- GDS
- 21Vianet
- Vertiv
- Schneider Electric
- Eaton
- Delta Electronics
- Johnson Controls
- Trane Technologies
- Carrier Global
- CoolIT Systems
- ZutaCore
- Submer
Cloud Databases, Storage & SaaS
- Snowflake
- Databricks
- MongoDB
- Elastic
- Redis
- Confluent
- Cloudflare
- Akamai
- Fastly
- Backblaze
- Wasabi
- Dropbox
- Box
- Google Drive
- OneDrive
- iCloud
- Veeam
- Cohesity
- Rubrik
- Commvault
- Acronis
- Veritas
- Druva
- Zerto
Edge, CDN & Sovereign Cloud
- Cloudflare
- Akamai
- Fastly
- Edgio
- StackPath
- Bunny
- KeyCDN
- CacheFly
- OVHcloud
- Scaleway
- IONOS
- Stackscale
- Deutsche Telekom
- Orange
- Telefonica
- Swisscom
- BT
- Atos
- Capgemini
- T-Systems
- Gaia-X
- S3NS
- Bleu
Strategic Analysis
- Who captures value across hyperscalers, neoclouds, and edge?
- How does AI change cloud demand, pricing, and capacity?
- Why can power and data gravity matter more than compute alone?
- How do egress, lock-in, and multi-cloud shape cloud economics?
- When does specialization (a focused AI cloud or sovereign cloud) beat a broad hyperscaler?
Cloud Watch
Cloud Watch tracks ongoing developments — hyperscaler earnings, AI cloud deals, capacity, and competitive moves.
Cloud Computing Intelligence explains the scale, power, and economic structure behind those developments.
Related Intelligence
- AI Systems Intelligence — AI models and AI systems driving cloud demand
- AI Infrastructure Watch — Data centers, power, and compute for AI
- Semiconductor Intelligence — Chips and hardware behind cloud
- Infrastructure Software Intelligence — Virtualization, databases, and cloud software
- Technology Intelligence — Cross-sector technology structure and competitive dynamics
The CODEW Lens: Cloud is expanding from “who has the most regions?” to “who can deliver AI compute reliably — with the power, capacity, and economics to sustain it?”
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