AWS Activate - Generative AI Tier ($300,000)
Source: https://aws.amazon.com/startups/credits
Description
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+ 1 AWS Activate offers an elevated credit tier of up to $300,000 for AI startups building foundation models. These credits are redeemable across 200+ AWS services including Amazon Bedrock (with third-party models from Anthropic, Meta, Mistral, Cohere, and others), plus compute-heavy workloads on AWS Trainium (training) and AWS Inferentia (inference) chips. This is not the standard Activate Portfolio ($100K max) — it is a separate, higher allocation within the Activate framework, restricted to startups genuinely building foundational AI technology. Nomination from a recognized VC partner is typically required.
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+ 7 AWS Activate has three tiers. The Generative AI tier sits above the standard Portfolio package:
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+ 8
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+ 9 TierCreditsWho It's For
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+ 10 FoundersUp to $1,000Early-stage, self-funded startups
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+ 11 PortfolioUp to $100,000VC-backed or accelerator-affiliated startups
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+ 12 Generative AIUp to $300,000Startups building foundation models (not API wrappers)
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+ 13
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+ 14 The Generative AI tier is not a separate application form — it is an elevated allocation within the Portfolio framework. Your VC or accelerator partner, combined with your demonstrated need for compute-heavy AI workloads, determines whether you qualify for the higher amount. Credits do not stack: if you previously received $100K in Portfolio credits, qualifying for the GenAI tier would grant you an additional $200K (the difference).
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+ 19
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+ 20 Hard requirements:
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+ 21 • Pre-Series B startup (most recent funding round within the last 12 months, if applicable)
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+ 22 • Founded within the last 10 years
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+ 23 • Active AWS account on a paid-tier plan
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+ 24 • Fully functioning company website with a clear product description
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+ 25 • Corporate email address (personal Gmail/Yahoo will get you rejected)
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+ 26 • Valid Organization ID from a recognized VC, accelerator, or AWS Activate Provider
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+ 27
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+ 28 GenAI-tier specific requirements:
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+ 29 • You must be building foundation models — fine-tuning open-source models, pre-training your own FMs, or providing critical infrastructure in the generative AI stack
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+ 30 • Mere API wrappers around GPT-4, Claude, or other hosted models do not qualify
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+ 31 • You must demonstrate a need for compute-heavy workloads (e.g., clusters of P5 or G5 instances, Trainium clusters)
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+ 32 • Typically requires nomination from a high-profile VC partner — top-tier firms like Y Combinator, Sequoia, and a16z can secure higher credit allocations
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+ 33 • U.S. startups need an EIN; non-U.S. startups may use local tax IDs
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+ 34 • Government entities are excluded
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+ 40 1. Secure an Organization ID — contact your VC, accelerator, or startup program to obtain a valid Org ID. This is a unique, case-sensitive code. Not all providers offer the same tier — ask your provider what credit amount they can support before applying
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+ 41 2. Set up your AWS account — sign up at aws.amazon.com with a corporate email matching your website domain. Confirm email, credit card, and phone number
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+ 42 3. Create an AWS Builder ID — this links your application to your AWS account. Ensure the email is not tied to another Builder ID (AWS rejects duplicates)
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+ 43 4. Go to the AWS Activate application page at aws.amazon.com/startups/credits
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+ 44 5. Select Activate Portfolio and fill out the application with: company name, website, description, AWS account ID, Org ID, and funding details
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+ 45 6. Describe your AI workloads — be specific about your foundation model work, compute needs (instance types, training pipeline), and how you plan to use Bedrock, Trainium, or Inferentia. This description directly affects your credit allocation
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+ 46 7. Submit and wait — AWS reviews applications within 7-10 business days, but the full approval process for higher-tier credits can take 6-10 weeks
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+ 47 8. Credits appear in your AWS Billing Dashboard upon approval
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+ 48
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+ 49 Common rejection pitfalls:
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+ 50 • Using a personal email address (Gmail, Yahoo)
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+ 51 • Website that does not clearly describe your product
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+ 52 • Inaccurate or vague funding/product information
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+ 53 • Previously received Activate credits of equal or greater value
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+ 54 • Applying without a valid Org ID
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+ 60 Credits are redeemable on 200+ eligible AWS services, including:
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+ 61
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+ 62 CategoryServices
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+ 63 AI/MLAmazon Bedrock (including third-party models), SageMaker, Trainium instances, Inferentia instances
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+ 64 ComputeEC2 (including P5, G5 GPU instances), Lambda, Fargate, ECS, EKS
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+ 65 StorageS3, EBS, EFS
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+ 66 DatabasesRDS, DynamoDB, Aurora, ElastiCache
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+ 67 AnalyticsRedshift, Kinesis, Glue
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+ 68 NetworkingCloudFront, VPC
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+ 69
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+ 72 Activate credits can offset costs for third-party foundation models on Bedrock, including:
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+ 73
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+ 74 ProviderModels
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+ 75 AnthropicClaude Opus 4.5, Claude Sonnet 4.5, Claude Sonnet 4, Claude Haiku 4.5
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+ 76 MetaLlama 4, Llama 3.3, Llama 3.2, Llama 3.1
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+ 77 Mistral AIMistral Large and others
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+ 78 AI21 LabsJamba 1.5 Mini, Jamba 1.5 Large
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+ 79 CohereCommand, Embed, Rerank
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+ 80 AmazonAmazon Nova, Amazon Titan
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+ 81 OthersDeepSeek, OpenAI, Qwen, Stability AI, Writer
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+ 82
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+ 83 Anthropic models require a one-time use case submission (access granted immediately after submission). Most other models are available with no approval needed.
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+ 84
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+ 88
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+ 89 • AWS Marketplace purchases (except Bedrock third-party models)
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+ 90 • Route 53 domain registrations
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+ 91 • Reserved Instance upfront fees ("All Upfront" RI payments)
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+ 92 • AWS Managed Services
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+ 93 • Prior/retroactive bills — credits only apply to new usage
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+ 94 • Credits are applied automatically across all eligible services; you cannot manually allocate them to specific services
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+ 99
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+ 100 The GenAI tier is specifically designed for startups leveraging AWS's custom silicon:
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+ 101
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+ 102 ChipPurposeAdvantage
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+ 103 AWS Trainium (Trn1 instances)Model trainingUp to 50% cost savings vs comparable EC2 GPU instances
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+ 104 AWS Inferentia (Inf2 instances)Model inferenceUp to 40% better price-performance vs GPU alternatives
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+ 105
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+ 106 Startups can combine approaches: train models on Trainium, deploy inference with Inferentia, and use Bedrock for rapid prototyping with hosted foundation models.
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+ 107
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+ 109
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+ 111
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+ 112 • Credits expire 2 years from activation (use-it-or-lose-it)
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+ 113 • AWS cannot extend expiration dates, even if credits remain unused
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+ 114 • AWS sends email reminders at 60 days before, 30 days before, and after expiry
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+ 115 • Usage alerts are sent when credits reach 75% and 100% consumption
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+ 116 • After credits expire, you are charged standard pay-as-you-go rates for all running services
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+ 117 • Credits are non-transferable — they cannot be passed to end customers
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+ 118
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+ 120
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+ 122
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+ 123 ProgramCreditsDetails
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+ 124 Generative AI AcceleratorUp to $1,000,0008-week cohort program, <2% acceptance rate, 40 startups per cohort, includes mentorship and investor access
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+ 125 AWS & Anthropic GenAI Scale Program$5-10K immediately + up to $300K afterRequires deployments via Bedrock; must separately qualify for Activate
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+ 126 Activate FoundersUp to $1,000No VC needed, self-funded startups
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+ 127 Activate PortfolioUp to $100,000VC/accelerator-affiliated startups
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+ 128
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+ 129 You can stack credits from different cloud providers (AWS + GCP + Azure) simultaneously — there is no exclusivity requirement between providers.
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+ 132
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+ 134
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+ 135 • Your VC matters — top-tier VCs (YC, Sequoia, a16z) routinely secure the full $100K-$300K. Lesser-known accelerators may only offer $25K-$50K. Ask your provider about their tier before applying
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+ 136 • Application pitfalls — applying without proper guidance can land you in a lower tier. Once you trigger a lower allocation (e.g., $25K when you qualified for $100K), upgrading is administratively difficult
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+ 137 • AWS partners can help — companies like Cloudvisor, nOps, and other AWS consulting partners can guide your application to maximize credit allocation
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+ 138 • Set up billing alerts immediately — AWS has no spending caps. If credits run out, you pay full price with no warning beyond the email notifications
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+ 139 • Batch inference pricing — Bedrock offers 50% lower pricing for batch inference vs on-demand. Use this to stretch your credits further when running large-scale model evaluations
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+ 140 • Region availability — not all Bedrock models or Trainium instances are available in every AWS region. Check regional availability before planning your infrastructure
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+ 141 • Since 2013, AWS Activate has provided over $7 billion in promotional credits to startups globally
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+ 142
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+ 144
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+ 145 Sources:
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+ 146 • AWS Activate Credits
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+ 147 • AWS Activate Application Guide
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+ 148 • Everything About AWS Activate Credits
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+ 149 • AWS Activate Credits for Bedrock
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+ 150 • AWS Generative AI for Startups
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+ 151 • AWS Generative AI Accelerator
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+ 152 • AWS Activate Program Guide 2026 (Cloudvisor)
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+ 153 • AWS Startup Credits Guide (Cloudvisor)
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+ 154 • AWS Activate Terms & Conditions
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+ 155 • AWS Activate FAQ
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+ 156 • Amazon Bedrock Supported Models
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+ 157 • Amazon Bedrock Regional Availability
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