5/5 Very Hard – AICreditMart – Buy & Sell AI Credits https://aicreditmart.com The marketplace for trading unused AI credits from OpenAI, Anthropic, AWS, Azure & more Sun, 01 Mar 2026 14:21:23 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.1 https://aicreditmart.com/wp-content/uploads/2025/12/cropped-icon-32x32.png 5/5 Very Hard – AICreditMart – Buy & Sell AI Credits https://aicreditmart.com 32 32 Anthropic Fellows Program 2026: Funded AI Safety Research Guide https://aicreditmart.com/ai-credits-providers/anthropic-fellows-program-2026-funded-ai-safety-research-guide/?utm_source=rss&utm_medium=rss&utm_campaign=anthropic-fellows-program-2026-funded-ai-safety-research-guide Sat, 21 Feb 2026 23:15:43 +0000 https://aicreditmart.com/?p=10000069 Anthropic provides $3,850 for students and educators. Registration steps, eligibility, limits, and marketplace options for unused credits.

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$3,850 per week plus about $15,000 per month in compute funding is a serious budget. The Anthropic Fellows Program 2026 is a four-month, full-time, funded research fellowship focused on Anthropic’s highest-priority AI safety and AI security questions.

Engineers switching into safety work, security-minded developers, and researchers who want publishable output tend to get the most out of this. If you’re searching for “Anthropic free credits” or trying to figure out how to get Anthropic credits for research, this program is one of the rare options where you don’t just get credits. You get paid.

This guide covers Anthropic Fellows Program 2026 eligibility, the exact signup flow, limitations (including the visa rule), and practical ways to stretch the compute budget.

Program at a Glance

What You Actually Get

The fellowship is a structured, full-time research program (not a casual internship) designed to produce publishable AI safety or AI security work. Compensation includes a $3,850/week stipend (or equivalent in GBP/CAD), plus about $15,000/month in compute funding for research expenses. You also get direct 1:1 mentorship from senior Anthropic researchers, and optional access to shared workspaces in Berkeley, California or London, UK. If you qualify by location, you can also participate remotely from anywhere within the US, UK, or Canada.

In real-world terms, the weekly stipend makes it feasible to treat this as your primary job for four months, not a side project. The compute budget is sized for serious experimentation and evaluation work, including projects that require repeated runs, tooling, and infrastructure. You are expected to aim for a publishable paper, and Anthropic notes that a large majority of previous fellows did in fact produce publishable research.

Who Qualifies (and Who Doesn’t)

Anthropic is unusually explicit about what they want: people who can execute on research, even if they do not have a PhD or prior ML research credentials. That said, the program is constrained by work authorization and by the expectation that you can commit full-time for four months.

  • You must be fluent in Python programming, since the work is research-heavy and code-first.
  • Full-time availability for the full four-month fellowship is required.
  • You need full-time work authorization in the US, UK, or Canada because there is no visa sponsorship.
  • A strong technical background in computer science, mathematics, physics, cybersecurity, or a related field is part of the required profile.

If you need visa sponsorship, you are out of luck for this one. Also, the program asks you to apply to only one track (AI Safety or AI Security), so “I’ll apply to both and see what happens” is not the intended path.

How to Sign Up

Expect a real recruiting process, not a simple “claim credits” button.

  1. Go to the Anthropic Fellows Program announcement page and read the program details.
  2. Decide which track fits you best: AI Safety Fellow or AI Security Fellow (apply to only one).
  3. Click “Apply here” on the announcement page, which redirects you to Constellation’s application portal (Constellation is Anthropic’s official recruiting partner).
  4. Fill out the application form with your background, research interests, and motivation.
  5. Go through the process stages: initial screening, then technical assessments and interviews, then a research discussion round.
  6. If accepted, Anthropic mentors pitch project ideas to you, and you choose and shape your project in collaboration with your mentor.
  7. Start with the cohort start date (May or July 2026, depending on intake).

One practical note: communication and logistics are handled by Constellation, so you should expect outreach from them rather than directly from Anthropic during the application process. Also, May 2026 is closed; July 2026 and beyond are rolling.

What the Credits Cover

The “credits” piece here is compute funding: about $15,000/month earmarked for research expenses during the fellowship. Anthropic doesn’t publish a public line-item list in the announcement, but the intent is clear: fund the compute and infrastructure needed to execute your project, alongside mentorship and workspace access.

Notable exclusion: there’s no promise of visa sponsorship, and the program is not positioned as a generic “Anthropic API free credits” offer for anyone worldwide. It’s a funded fellowship with location and authorization constraints.

Limitations to Know About

Every funded program has catches. With this one, the constraints are mostly about eligibility, time commitment, and selectivity.

  • No visa sponsorship is provided, so you must already have (or independently obtain) work authorization in the US, UK, or Canada.
  • You can participate remotely, but only from within the US, UK, or Canada.
  • May 2026 cohort applications are closed; July 2026 and future cohorts are rolling.
  • You are expected to treat this as full-time research for four months, with publishable output as the goal.

What happens when the credits run out? The fellowship is time-boxed to four months, so the stipend and compute funding are tied to that term. After the fellowship ends, there is no implied continuation of funding; the “pipeline” outcome Anthropic cites is that some fellows receive full-time offers, but that is not guaranteed.

Have Unused Anthropic Credits?

It’s surprisingly common for teams to accumulate Anthropic credits they cannot use before the clock runs out. Startup programs and enterprise agreements can come with large allocations, but roadmaps change, and credits expire quietly. If you’re sitting on surplus, AI Credit Mart lets you sell unused credits (often up to about 70% of face value) instead of watching them become worthless.

List your unused Anthropic credits →

Need More Anthropic Credits?

Once you’ve burned through free promos or you’re between funded programs, paying list price isn’t your only option. AI Credit Mart lists discounted Anthropic credits from companies with surplus allocations, which can be a clean way to extend your runway. Discounts typically land around 30–70% below retail, depending on the credit type and expiry window.

Browse discounted Anthropic credits →

Tips for Getting the Most Out of Your Credits

  • Apply with the mindset that you are pitching four months of publishable research, because Anthropic explicitly says this is not a typical internship.
  • Pick one track (Safety or Security) and align everything you write to its focus areas, since you are asked to apply to only one.
  • Plan around the rolling process for July 2026 and beyond, and do not anchor on the earlier January deadline if you missed it.
  • Expect Constellation to run logistics and communication, so check your inbox for them (and keep an eye on spam filters).
  • If the Fellows program is not the right fit, Anthropic explicitly suggests comparing similar programs like Constellation’s Astra Fellowship.

Related Credit Programs

If your immediate need is hands-on Anthropic usage rather than a four-month fellowship, the smaller promos are faster to claim. The guide on how to get $5 in free Anthropic Claude API credits is more of a “today” solution for testing integrations.

For teams trying to reduce production spend, not just run research, you’ll want the bigger bucket programs. The Anthropic Startup Program ($25K in credits) is the more relevant comparator, since it’s credit-first rather than stipend-first.

If you’re coming from academia or a lab setting and want an education-aligned option, take a look at Anthropic AI for Science (up to $20K in credits). It tends to fit better when the “deliverable” is research progress, but not necessarily a full-time cohort program.


Quick reference:

Frequently Asked Questions

How much are Anthropic Fellows Program 2026 – Funded AI Safety Research credits worth?

The program includes a $3,850/week stipend plus about $15,000/month in compute funding for research expenses during a four-month, full-time fellowship. In practice, that compute budget is meant to cover the infrastructure needed to execute your project, while the stipend covers your time. It’s not a coupon code for the public; it’s tied to being accepted as a fellow. Anthropic also frames the expected “value” as publishable output, with many prior fellows producing papers and some converting into full-time roles.

Do I need a credit card to sign up for Anthropic Fellows Program 2026 – Funded AI Safety Research?

No.

How long do Anthropic free credits last?

For this program, the compute funding runs for the four-month fellowship term, and then it ends.

Can I sell my unused Anthropic credits?

Yes. If you have Anthropic credits you won’t use before they expire, you can list them on AI Credit Mart and sell them at up to 70% of face value. Companies regularly list surplus credits from startup programs and enterprise agreements.

Where can I buy discounted Anthropic credits?

AI Credit Mart has discounted Anthropic credits available from companies with surplus allocations. Prices are typically 30-70% below retail.

What happens when Anthropic credits expire?

In the Fellows Program, the compute funding is tied to the fellowship period, so once the four months are over, you should assume the budget ends with it rather than rolling forward.

Can I apply to both the AI Safety Fellow and AI Security Fellow tracks?

No. Anthropic says to apply to only one track, so pick the one that best matches your interests and background.

Is remote participation allowed for the Anthropic Fellows Program 2026?

Yes, but only if you are located within the US, UK, or Canada, and you still need work authorization in one of those countries because there is no visa sponsorship.

This is one of the better-funded on-ramps into serious AI safety or security research: real stipend, real compute, real expectations. If you get in, treat the four months like a focused sprint and ship something publishable.

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]]> NVIDIA Graduate Fellowship: $60K Funding Guide (2026) https://aicreditmart.com/ai-credits-providers/nvidia-graduate-fellowship-60k-funding-guide-2026/?utm_source=rss&utm_medium=rss&utm_campaign=nvidia-graduate-fellowship-60k-funding-guide-2026 Sat, 21 Feb 2026 22:35:37 +0000 https://aicreditmart.com/?p=10000019 NVIDIA provides $60K for students and educators. Registration steps, eligibility, limits, and marketplace options for unused credits.

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Up to $60,000 per academic year is on the table through the NVIDIA Graduate Fellowship Program. It’s not “NVIDIA free credits” in the cloud-billing sense, but it is real funding that covers PhD costs (stipend, tuition, and mandatory fees) so you can keep your research moving.

PhD students doing GPU/accelerated computing work, lab mates trying to plan the next year’s budget, and advisors helping candidates pick the right fellowship targets all benefit here. Honestly, this is one of the better deals out there if your work aligns with NVIDIA’s research orbit.

This guide covers NVIDIA Graduate Fellowship eligibility, the exact application steps, the mandatory internship requirement, the fine print, and practical ways to make your application stronger.

Program at a Glance

What You Actually Get

The NVIDIA Graduate Fellowship Program awards up to $60,000 to PhD students doing research relevant to accelerated computing and NVIDIA technologies. The award covers stipend, tuition, and mandatory fees, and it’s disbursed through your university (not paid directly to you). There’s also a hard requirement: you must complete an in-person, paid summer internship at an NVIDIA research office before the fellowship year begins. On top of the funding, fellows get access to NVIDIA products, technology, and mentorship.

In practical terms, $60K can cover a meaningful chunk of a PhD year at many universities, especially if your stipend and tuition are structured cleanly. Since the “up to” is based on your specific costs, some people will land below the cap, but it’s still a high ceiling for a single-year research fellowship.

Who Qualifies (and Who Doesn’t)

This fellowship is for PhD students (not master’s) who are already underway and actively working on thesis research that maps to NVIDIA’s accelerated computing priorities. It’s open worldwide, but you must be able to do the required in-person internship at one of NVIDIA’s research offices.

  • You must be enrolled in a PhD program, and you must have completed at least your first year at the time you apply.
  • Your field needs to be aligned (Computer Science, Computer Engineering, System Architecture, Electrical Engineering, or closely related).
  • You must be a full-time PhD student for the entire fellowship academic year (9 months), and you cannot be graduating before May/June at the end of that fellowship year.
  • You must be available for a mandatory, in-person summer internship (about 3–4 months) at an NVIDIA research office.

If you’re a master’s student, this is a no. Full-time NVIDIA employees and their immediate family members also cannot participate.

How to Sign Up

The application has several moving pieces, so give yourself a few weeks to gather materials and letters.

  1. Visit the official fellowship page at research.nvidia.com/graduate-fellowships.
  2. Wait for the application window to open (typically early August each year).
  3. Prepare your research summary / thesis proposal (up to 2 pages, plus bibliography; the bibliography does not count toward the page limit).
  4. Prepare your CV/resume including full contact information.
  5. Secure 2–3 professor nomination letters (at least one must be from your thesis advisor; maximum 3 letters allowed).
  6. Confirm your availability for the mandatory summer internship at an NVIDIA research office.
  7. Submit everything through NVIDIA’s online submission portal before the deadline.
  8. Make sure recommenders submit their letters by the separate recommender deadline (typically a few hours before the applicant deadline on the same day).
  9. Wait for results; decisions are typically communicated by the end of November.
  10. If selected, complete the summer internship before the fellowship year begins.

One common gotcha is the letter deadline: it is separate from your submission and often earlier the same day, so you can’t “fix it later” if a recommender is late.

What the Credits Cover

This program isn’t an API coupon. It’s a fellowship award that pays for academic costs so you can focus on research: stipend support, tuition, and mandatory fees for one academic year. Separately, the required NVIDIA internship is paid, and NVIDIA may provide a housing stipend and cover travel when you’re assigned more than 50 miles from your university.

Notable exclusions: this award is not an equipment or hardware grant, and it can’t be charged overhead or indirect costs by the university.

Limitations to Know About

Every fellowship has constraints, and NVIDIA’s are pretty strict because the program is both prestigious and tightly managed.

  • The summer internship is mandatory and must be in-person at an NVIDIA research office.
  • The award is capped at $60,000, and the actual amount depends on your stipend, tuition, and mandatory fee costs.
  • No overhead or indirect costs may be charged to the award by your university.
  • The fellowship is not transferable to another student.

What happens when the “credits” run out is simple: the fellowship covers one academic year (9 months), then it ends. Your funding after that depends on your lab, department, grants, or future fellowships; the internship pay is separate from the fellowship award.

Have Unused NVIDIA Credits?

Not this fellowship specifically, but NVIDIA credits do pile up in the real world. Startup programs and enterprise agreements can leave teams with allocations they can’t use before internal timelines change. If you’re sitting on unused NVIDIA credits that might expire or go unclaimed, AI Credit Mart is a practical way to turn that surplus into budget instead of losing it. You list what you have and set a fair discount.

List your unused NVIDIA credits →

Need More NVIDIA Credits?

If you’re doing serious GPU work, free programs often aren’t enough, and paying retail can sting. AI Credit Mart has discounted NVIDIA credits from organizations with surplus allocations, which can extend your runway without changing your stack. Discounts typically land around 30–70% below retail, depending on the credit type and terms. It’s worth checking before you budget full price.

Browse discounted NVIDIA credits →

Tips for Getting the Most Out of Your Credits

  • Start early: applications typically open in early August with a mid-September deadline, so put a reminder on your calendar for July.
  • Give recommenders real lead time because you need 2–3 letters under a tight deadline; four to six weeks is a reasonable ask.
  • Show long-term vision in your proposal, not just what you’re doing this semester and what you already published.
  • Demonstrate familiarity with NVIDIA’s stack (CUDA, cuDNN, TensorRT, and related tooling) if it’s relevant to your research.
  • Be explicit about internship fit by mentioning possible NVIDIA internship project ideas aligned with your expertise.

Related Credit Programs

If your end goal is more compute (not stipend/tuition support), you should also look at NVIDIA Academic Grant: How to Get 30K H100 GPU Hours (2026). It’s a different kind of resource, but for many labs it maps more directly to training runs and GPU scheduling constraints.

Startup team instead of a university lab? NVIDIA Inception: How to Get $100K+ in Startup Credits (2026) is the more relevant track, since it’s designed for companies and product development rather than a single student’s fellowship year.

If you’re comparing student-oriented options across providers, Oracle Academy: How to Get $300 in Student Cloud Credits (2026) is worth a quick scan. It’s smaller money, but it’s less competitive and can cover basic cloud experimentation.


Quick reference:

Frequently Asked Questions

How much are NVIDIA Graduate Fellowship – $60000 credits worth?

They’re worth up to $60,000 for one academic year, covering stipend, tuition, and mandatory fees (paid to your university). The catch is that $60K is a cap; the actual award depends on your specific costs. You also must complete a paid, in-person summer internship at an NVIDIA research office before the fellowship year starts. If you’re thinking of it like “how to get NVIDIA credits,” treat it more like structured funding tied to academic enrollment and internship availability.

Do I need a credit card to sign up for NVIDIA Graduate Fellowship – $60000?

No.

How long do NVIDIA free credits last?

For this program, the award lasts one academic year (9 months), and the required internship happens the summer before that year.

Can I sell my unused NVIDIA credits?

Yes. If you have NVIDIA credits you won’t use before they expire, you can list them on AI Credit Mart and sell them at up to 70% of face value. Companies regularly list surplus credits from startup programs and enterprise agreements.

Where can I buy discounted NVIDIA credits?

AI Credit Mart has discounted NVIDIA credits available from companies with surplus allocations. Prices are typically 30-70% below retail.

What happens when NVIDIA credits expire?

For the fellowship award, it simply ends after the 9-month academic year; ongoing funding is not included.

Is the NVIDIA Graduate Fellowship open to international PhD students?

Yes, it’s open worldwide with no citizenship or residency restriction. The practical constraint is the internship: you must be able to obtain authorization to work in-person at an NVIDIA research office for about 3–4 months, so confirm visa/work authorization details early.

How competitive is the NVIDIA Graduate Fellowship selection process?

Very competitive: NVIDIA typically selects about 10 students from a global pool, and the review is done by a committee of over 80 senior engineers and managers led by Chief Scientist Bill Dally. The review process takes about 8 weeks, and decisions are usually communicated by the end of November. Strong recommendations, a high-quality proposal, and clear relevance to NVIDIA’s accelerated computing domains matter a lot. Having at least one strong top-tier publication can significantly strengthen your application.

If you’re eligible, this is a serious $60K-class fellowship with real prestige and real constraints. Apply early, line up your letters, and if you end up with surplus NVIDIA credits elsewhere, you can always sell them instead of letting them rot.

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]]> Vercel AI Accelerator: How to Get $4M+ in Combined Credits (2026) https://aicreditmart.com/ai-credits-providers/vercel-ai-accelerator-how-to-get-4m-in-combined-credits-2026/?utm_source=rss&utm_medium=rss&utm_campaign=vercel-ai-accelerator-how-to-get-4m-in-combined-credits-2026 Sat, 21 Feb 2026 22:22:02 +0000 https://aicreditmart.com/?p=10000002 Vercel offers $4 for startups. Full eligibility, application steps, what's covered, and how to buy or sell unused Vercel credits at a discount.

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Over $4M in combined credits. That’s what the Vercel AI Accelerator puts on the table across Vercel, v0, AWS, and 20+ AI partners, split among a 40-startup cohort. If you’re hunting for Vercel free credits, this is one of the biggest bundles out there, but it’s not “click to claim.”

Startup founders stretching runway, engineers trying to keep inference bills sane, solo builders with a real MVP and momentum. This program is built for teams actively shipping AI products, not casual experimentation.

Below: eligibility, the exact application steps, what the credits actually cover, the gotchas (durations vary), and how to squeeze real value out of the six weeks.

Program at a Glance

What You Actually Get

The Vercel AI Accelerator is a six-week, virtual-first program that selects 40 AI startups per cohort and hands out a bundle of credits sourced from Vercel, v0, AWS, and 20+ AI platform partners. The Cohort 3 (2025) breakdown includes AWS Activate credits ($25,000 per participant), Anthropic API credits ($15,000 per participant), Daytona ($10,000 per participant), Perplexity API credits ($10,000 per participant), Modal compute ($5,000 per participant), plus Vercel cloud credits and v0 platform credits. Demo Day winners can earn $100K+ in additional prizes, and first place also has the option of a Vercel Ventures investment.

Real-world value depends on what you actually use. If your stack touches multiple partners (hosting + compute + model APIs + dev tooling), the “thousands from each partner” can turn into a meaningful runway extension for training, inference, evals, and shipping a production-grade product without immediate retail spend.

Who Qualifies (and Who Doesn’t)

Vercel positions this as an early-stage startup program for teams building AI-powered products. It’s open globally and accepts both individuals and teams, but selection is competitive and preference may tilt toward teams already building on Vercel/Next.js (not a strict requirement).

  • You generally need to be an early-stage startup (typically pre-seed through Series A) building an AI product.
  • Applications are open globally, so region is not the gating factor.
  • Individuals can apply, and solo builders have won in past cohorts.
  • A working product or MVP materially strengthens your application, based on prior cohort patterns.

If you’re an existing Vercel Enterprise customer, you’re not eligible. Also, if you have no real product yet, you can still apply, but frankly you’re competing against teams with demos, traction, and clear plans for credit usage.

How to Sign Up

Applying is quick, but writing a strong application can take a couple hours.

  1. Go to vercel.com/ai-accelerator.
  2. Click the “Apply” button to open the Typeform application.
  3. Fill out the application with details on your AI product, team, traction, tech stack, and how you plan to use the credits.
  4. Submit before the cohort deadline (for example, May 17, 2025 was the Cohort 3 deadline).
  5. Wait for selection; Vercel typically announces the 40 accepted teams about two weeks after the deadline.
  6. If accepted, follow onboarding instructions and activate partner credit codes you receive from each sponsor.

Two practical notes. Applications only open during specific windows (usually a few weeks before a cohort), and there’s no fee plus no credit card requirement at any point in the application.

What the Credits Cover

This is not one bucket of “Vercel credits.” It’s a partner bundle, which means you can cover multiple layers of an AI product: hosting, compute, and model/API usage, plus developer tools. Exact amounts vary by partner and cohort, and the sponsor list can rotate.

Notable exclusions are mostly about assumptions. There isn’t a single, uniform credit policy: durations and exact usable services are governed by each partner’s terms, and OpenAI’s per-participant amount is explicitly listed as “varies.”

Limitations to Know About

Every credit-heavy program has catches. With this one, the main catch is that it’s selective and time-boxed, and then each partner adds their own rules.

  • Acceptance is highly competitive, with an acceptance rate under 3% cited from early cohorts.
  • Applications are only open during specific windows before each cohort.
  • Credits expire based on each partner’s terms, and durations vary (some may be a few months, others longer).
  • Existing Vercel Enterprise customers are explicitly not eligible.

When credits run out, services revert to regular pricing. Vercel notes you are not obligated to keep using Vercel after the program ends, but if you do keep running production workloads, you should expect normal billing once the subsidized usage is consumed or expires.

Have Unused Vercel Credits?

Credit bundles sound infinite until you see the expiration dates. Teams often activate multiple partner grants, then realize they can’t use everything before the clock runs out (especially if product timelines shift). If you end up with unused Vercel credits you can’t realistically consume, AI Credit Mart lets you sell surplus credits instead of watching them expire.

List your unused Vercel credits →

Need More Vercel Credits?

If you miss the cohort window or don’t get accepted, paying retail is not your only option. AI Credit Mart lists discounted Vercel credits from companies with surplus allocations, often from startup programs and enterprise agreements. Pricing typically lands about 30–70% below face value, depending on supply.

Browse discounted Vercel credits →

Tips for Getting the Most Out of Your Credits

  • Invest time in the application because acceptance is under 3% and a working demo helps a lot.
  • Have a clear plan for how you will use the credits across partners, not just “we’ll figure it out later.”
  • Activate credits early since partner durations vary, and some expire much faster than you’d expect.
  • Do not worry about equity for participation; Vercel states no equity is taken, and the winner investment is separate and voluntary.
  • If applications are closed, look at Vercel for Startups for smaller year-round packages, and follow @vercel for cohort announcements.

Related Credit Programs

If your biggest variable cost is inference, pair this with model-provider startup offers. OpenAI for Startups: How to Get $2500-$5000 in Credits (2026) is smaller than the Accelerator bundle, but it can be easier to plan around because it’s focused on one provider.

Need raw compute leverage for training or batch jobs? NVIDIA Inception: How to Get $100K+ in Startup Credits (2026) is worth a look, especially if your roadmap includes GPU-heavy work and you want a longer runway than a six-week sprint.

If you liked the idea of partner credits but want something more directly tied to compute execution, Modal Startup Credits: How to Get Up to $25K (2026 Guide) can complement Vercel hosting with a clearer compute budget.


Quick reference:

Frequently Asked Questions

How much are Vercel AI Accelerator – $4M+ Combined Credits credits worth?

The cohort’s total credit pool exceeds $4M across 40 teams, and accepted startups typically receive thousands of dollars in credits from each partner. For Cohort 3 (2025), that included items like $25,000 in AWS Activate credits per participant and $15,000 in Anthropic API credits per participant, plus additional partner credits. The practical value is highest if you actually use multiple partners (hosting + compute + model APIs) instead of only one slice of the bundle. Demo Day winners can also earn $100K+ in extra prizes, and first place may receive a separate Vercel Ventures investment.

Do I need a credit card to sign up for Vercel AI Accelerator – $4M+ Combined Credits?

No.

How long do Vercel free credits last?

It depends on the partner; Vercel states credits expire based on each partner’s terms, with durations varying from a few months to longer.

Can I sell my unused Vercel credits?

Yes. If you have Vercel credits you won’t use before they expire, you can list them on AI Credit Mart and sell them at up to 70% of face value. Companies regularly list surplus credits from startup programs and enterprise agreements.

Where can I buy discounted Vercel credits?

AI Credit Mart has discounted Vercel credits available from companies with surplus allocations. Prices are typically 30-70% below retail.

What happens when Vercel credits expire?

Vercel services revert to regular pricing after credits are consumed.

Are existing Vercel Enterprise customers eligible for Vercel AI Accelerator – $4M+ Combined Credits?

No, existing Vercel Enterprise customers are not eligible.

How long does it take to hear back after applying?

Vercel typically announces the 40 accepted teams about two weeks after the application deadline. If you’re planning launches or budgeting around credits, don’t assume instant approval. Also, application windows are limited, so missing a deadline can push you to the next cohort. If the Accelerator is closed, Vercel suggests looking at Vercel for Startups as an alternative for smaller packages.

If you can get in, the Vercel AI Accelerator is a serious credit bundle plus a tight six-week build cycle and Demo Day upside. Apply with a real product, activate credits early, and if you end up with surplus, you can always sell what you won’t use.

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