4/5 Hard means you’re dealing with a selective, review-based application rather than a quick self-serve coupon. You’ll usually need to prove legitimacy and fit: company details, team background, funding stage, a clear AI or cloud use case, and sometimes a pitch deck or business plan. Some offers also require a referral from an approved partner (like an accelerator, investor, or platform partner). Expect back-and-forth with the provider, possible calls, and onboarding steps before credits are issued.

Most applicants should plan for about 1–4 weeks from submission to credits, depending on review queues and whether a referral is required. High-value startup packages or GPU grants can take longer if interviews, technical validation, or contract setup is involved.

This level includes programs from Alibaba Cloud, Google, Cloudflare, Microsoft, Databricks, Snowflake, OpenAI, NVIDIA, AWS, Anthropic, Together AI, and Oracle. Offer types range from startup partner credits to student cloud credits and GPU/compute grants.

Together AI’s Startup Accelerator is application-based and tiered by funding stage, with up to about $50,000 in platform credits. Typical tiers include roughly $15K, $30K, and $50K as you move from earlier to later stages. Credits can cover serverless inference, fine-tuning, dedicated endpoints, and on-demand GPU clusters, plus limited engineering support hours and founder resources. It’s not instant: you submit an application and the Together AI team reviews and approves eligible startups.