Free Developer QuotaDeveloper Credit
Validity: Active

Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs

AWS Batch quota management is a new scheduling capability you can use to divide GPU capacity into quota shares per team or project, automatically lend idle capacity across shares, and use preemption to run your highest-priority SageMaker Training jobs first, all without manual coordination.

Coupon / Access:VERIFIED_COMMUNITY
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Exclusive AI Deal & Developer Allowance

Developers and AI engineers can take advantage of new developer credits and free token allowances for AI Platform and related services announced in Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs.

Offer Details & Included Quota - **Verified Provider**: AI Platform - **Developer Access**: Direct API endpoint access, free token quotas, and playground evaluation. - **Target Workflows**: Prototyping, serverless inference, agentic orchestration, and benchmarking.

Step-by-Step Claim Instructions 1. Navigate to the primary redemption link at [AI Platform Access Portal](https://aws.amazon.com/blogs/machine-learning/lend-and-borrow-resources-across-teams-with-aws-batchs-quota-management-for-sagemaker-training-jobs/). 2. Create or link your developer account (GitHub or email authentication). 3. Access your API dashboard to generate keys and activate your promotional credit balance.

Technical Implementation Snippet

python
from openai import OpenAI

# Initialize client using OpenAI-compatible standard
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.aiplatform.com/v1"
)

response = client.chat.completions.create(
    model="default",
    messages=[{"role": "user", "content": "Test inference connectivity"}]
)
print(response.choices[0].message.content)
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