Cloud credits — Azure, AWS, GCP — buy or sell through AI Credit Mart
What cloud credits are, how they work across Azure, AWS, and Google Cloud, and how you can buy them below retail or sell unused credits for cash through AI Credit Mart.
Cloud credits are prepaid balances used to pay for cloud infrastructure services — virtual machines, storage, databases, networking, AI services, serverless compute, and more. The three major cloud providers — Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP) — all use credit-based billing where you prepay and consume as you go.
Companies and individuals acquire cloud credits through direct purchases, startup programs (Microsoft for Startups, AWS Activate, Google for Startups), enterprise agreements, accelerator grants, free trials, and partner promotions. Credits are tied to a specific provider account and almost always have an expiry date.
Cloud infrastructure is the single largest variable cost for most technology companies — and a significant share of that spend goes to waste. Enterprises over-commit, startups receive grants they can’t fully use, and projects get shelved. AI Credit Mart connects sellers with unused cloud credits to buyers who want infrastructure at below-retail pricing.
Each cloud provider has different credit types, billing models, and transfer mechanisms. Select a provider to learn how their credits work and how to buy or sell them.
Microsoft Azure credits cover compute, Azure OpenAI, storage, databases, networking, and 200+ other products. The second-largest cloud provider and the dominant platform for enterprises running Microsoft workloads. Common sources: direct purchases, enterprise agreements, Microsoft for Startups, accelerator grants.
Learn about Azure Credits →
Amazon Web Services credits cover EC2, Bedrock, S3, Lambda, and hundreds of other products. The world’s largest cloud provider with the deepest marketplace of unused credits. Common sources: AWS Activate, enterprise discount programs, accelerator grants, Savings Plans.
Learn about AWS Credits →
GCP credits cover Compute Engine, Vertex AI, BigQuery, Cloud Storage, and all other Google Cloud products. The fastest-growing cloud for AI and data workloads. Common sources: Google for Startups, committed use contracts, accelerator grants, free trial credits.
Learn about GCP Credits →
Virtual machines, containers, Kubernetes, serverless functions — compute is the core of every cloud bill and the most common use of cloud credits across all three providers.
Azure OpenAI, AWS Bedrock, Google Vertex AI — cloud-hosted AI services are one of the fastest-growing categories of credit usage as companies scale inference and training workloads.
BigQuery, Redshift, Azure SQL, Cosmos DB, Athena, Dataflow — credits cover the full data stack across all providers for warehousing, processing, and analytics.
S3, Blob Storage, Cloud Storage — object storage, block storage, file storage, and archival tiers. Storage credits are among the most transferable across providers.
CDN, load balancers, VPC, DNS, interconnects, VPN — networking infrastructure credits are covered across Azure, AWS, and GCP.
Identity management, encryption, monitoring, CI/CD pipelines, container registries — security and operations tools are all covered by cloud credits.
Cloud credits (Azure, AWS, GCP) cover a broad range of infrastructure services — compute, storage, networking, databases, security, and AI. They’re general-purpose and can be used for anything you run in the cloud.
AI-specific credits (OpenAI, Anthropic) are focused exclusively on AI products — API calls, model inference, fine-tuning, embeddings. They can only be used for that provider’s AI services.
There’s overlap: Azure credits can pay for Azure OpenAI, AWS credits can pay for Bedrock, and GCP credits can pay for Vertex AI. But OpenAI credits can’t pay for EC2, and Anthropic credits can’t pay for Cloud Storage. AI Credit Mart handles both types.
We also broker credits for OpenAI and Anthropic. Visit our AI credits hub for everything about AI-specific credit types, how they work, and how to buy or sell them.
Learn about AI Credits →
Whether you have unused credits to sell or need cloud capacity at a lower price — we can help. Any provider, any size.
Get Azure, AWS, or GCP credits at a discount from verified sellers. Compute, storage, AI, databases — any cloud product. Sourced and delivered in days. No long-term commitment.
Buy Cloud Credits →
Have unused cloud credits expiring? We match you with verified buyers and help you recover real cash value. Any provider. Fast, confidential, providers never contacted.
Sell Cloud Credits →
We’re a broker that connects people with unused cloud credits to people who want cheaper infrastructure. The process is the same across Azure, AWS, and GCP.
Buying? Tell us which cloud provider, products, and how much. Selling? Tell us your provider, credit type, balance, and expiry. Takes 30 seconds.
We search our network of verified buyers and sellers and present you with a specific offer — typically within 24 hours.
You see exactly what you’re getting or what you’ll receive. All credits are pre-verified. Nothing moves until you approve.
Transfer is structured through legitimate mechanisms specific to each provider. Buyers get credits. Sellers get paid. Fast and confidential.
Cloud credits are prepaid balances used to pay for cloud infrastructure services. Azure, AWS, and Google Cloud all use credit-based billing — you prepay and credits get consumed as you use compute, storage, databases, AI services, and other cloud products.
We broker credits for Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). We also handle AI-specific credits for OpenAI and Anthropic — see our AI credits page for those.
Yes. Almost all cloud credits have an expiry date. Startup program credits typically expire in 12–24 months. Enterprise commitments expire at the end of the contract term. Free trial credits expire in 30–90 days. Once expired, credits are lost permanently.
Yes. Azure credits cover Azure OpenAI Service. AWS credits cover Bedrock. GCP credits cover Vertex AI. If you want to run AI workloads on a cloud provider, cloud credits are the most flexible way to pay for it.
Yes. While credits can’t be directly transferred on most platforms, value can be moved through legitimate business mechanisms — sub-contracting, reseller arrangements, and managed service structures. AI Credit Mart only uses methods that comply with each provider’s terms.
No. We never contact any provider or disclose identities. The transfer mechanisms we use are standard business arrangements that don’t trigger notifications. Your relationship with your provider stays completely intact.
Yes. Many of our users work across Azure, AWS, and GCP simultaneously. We can source or sell credits for multiple providers in parallel — one point of contact for your entire cloud credit portfolio.
Every deal is different. Pricing depends on provider, credit type, amount, expiry, and current supply and demand. Tell us what you need and we’ll come back within 24 hours with a specific offer — no obligation.
Cloud credits (Azure, AWS, GCP) cover broad infrastructure — compute, storage, networking, databases, and AI. AI-specific credits (OpenAI, Anthropic) cover only that provider’s AI products. Cloud credits are more flexible since they include AI services plus everything else. AI Credit Mart handles both.
Azure, AWS, or GCP. Any size. Get matched within 24 hours. No obligation.
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