Step-by-Step Guide

Step 1: Identify Vendors Offering Sandbox Environments

Major cloud vendors and AI platforms (such as AWS, Microsoft Azure, Google Cloud, Alibaba Cloud, Huawei Cloud, etc.) provide sandbox environments or innovation centers for enterprises. These sandboxes typically offer a certain amount of free resources (including AI tokens) for proof-of-concept (PoC) work.

  • AWS: Apply for a sandbox through the AWS Activate program or by contacting AWS sales. You can usually get credits ranging from about $1,000 to $5,000 for AI services (e.g., Amazon Bedrock).
  • Microsoft Azure: Get initial credits via Microsoft for Startups or an Azure free account, and apply to join the Azure sandbox program for additional AI resources.
  • Google Cloud: Apply for a sandbox through Google for Startups or by contacting sales. Typically offers $300 initial credits plus additional PoC support.
  • Chinese vendors: Alibaba Cloud, Huawei Cloud, etc., offer "Innovation Centers" or "Sandbox Labs". Submit enterprise information via their official websites to apply, usually receiving trial credits ranging from thousands to tens of thousands of RMB.

Action: Visit vendor websites and search for keywords like "sandbox", "innovation center", "PoC support" to find application entry points.

Step 2: Prepare Application Materials (No Proposal Needed)

Sandbox applications usually do not require complex proposals, but you need to provide the following basic information:

  1. Company qualifications: Business license, company profile (highlighting relevance to AI).
  2. Brief PoC plan: A one-pager describing your business scenario, what problem you want to solve with AI, and expected outcomes.
  3. Technical team introduction: Briefly describe your team's technical capabilities to prove you can complete the PoC.
  4. Resource requirements: Specify the amount of AI tokens or compute resources needed (e.g., "about 1 million tokens" or "100 GPU hours per month").

Tip: Focus your PoC plan on the vendor's AI products (e.g., Bedrock, Azure OpenAI, Bailian) and emphasize complementarity with the vendor's ecosystem to increase approval chances.

Step 3: Design a Joint PoC Plan

A joint PoC is key to obtaining credits. The plan should include:

  • Objective: E.g., "Build a smart customer service prototype based on large models, improving accuracy by 20%."
  • Timeline: Usually 1-3 months.
  • Milestones: Phased deliverables, such as data preparation, model fine-tuning, evaluation report.
  • Success criteria: Quantifiable metrics.
  • Resource plan: Specify the token credits, technical support, etc., needed from the vendor.

Note: The more specific the plan, the easier it is to gain the vendor's trust and resource support.

Step 4: Submit Application and Follow Up

Submit your application through the official website or by contacting sales. You will usually receive initial feedback within 1-2 weeks. If rejected, ask for reasons and adjust your plan before resubmitting.

Step 5: Sign Agreement and Obtain Credits

After approval, the vendor will provide sandbox access and credits. Some vendors may require signing a simple cooperation agreement (not a procurement contract) clarifying intellectual property and confidentiality terms.

Step 6: Execute PoC and Report Results

Execute the PoC as planned and report progress to the vendor regularly. A final results report helps build a long-term relationship and may lead to more credit support.

Precautions

  • Credit limits: Sandbox credits usually have expiration dates (e.g., 3-6 months) and usage restrictions (PoC only), and cannot be used for production.
  • Data security: When handling sensitive data in the sandbox, confirm the vendor's data protection policies and sign a data processing agreement if necessary.
  • Technical dependency: Joint PoC may create dependency on a specific vendor's technology; evaluate long-term costs.
  • Eligibility: Some vendors require companies to be startups (based on age, funding stage, etc.) or require a corporate email and website.
  • Credit amounts: Specific amounts vary by vendor, plan, and negotiation; figures in this article are for reference only and subject to vendor approval.

Use Cases

  • Enterprise teams looking to validate AI application feasibility at low cost, especially when integrating with a specific cloud vendor's tech stack.
  • Startups needing quick access to AI resources for prototype development.
  • Teams with a clear business scenario but lacking AI budget.
  • Companies aiming to establish long-term partnerships with cloud vendors.