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	<title>DigitalOcean &#8211; AICreditMart &#8211; Buy &amp; Sell AI Credits</title>
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	<description>The marketplace for trading unused AI credits from OpenAI, Anthropic, AWS, Azure &#38; more</description>
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	<title>DigitalOcean &#8211; AICreditMart &#8211; Buy &amp; Sell AI Credits</title>
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		<title>DigitalOcean Hatch: How to Get $100K in Startup Credits (2026)</title>
		<link>https://aicreditmart.com/ai-credits-providers/digitalocean-hatch-how-to-get-100k-in-startup-credits-2026/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=digitalocean-hatch-how-to-get-100k-in-startup-credits-2026</link>
		
		<dc:creator><![CDATA[Rickard Andersson]]></dc:creator>
		<pubDate>Sat, 21 Feb 2026 23:00:49 +0000</pubDate>
				<category><![CDATA[AI credit provider]]></category>
		<guid isPermaLink="false">https://aicreditmart.com/?p=10000050</guid>

					<description><![CDATA[<p>DigitalOcean offers $100K for startups. Full eligibility, application steps, what's covered, and how to buy or sell unused DigitalOcean credits at a discount.</p>
<p>&lt;p&gt;The post <a rel="nofollow" href="https://aicreditmart.com/ai-credits-providers/digitalocean-hatch-how-to-get-100k-in-startup-credits-2026/">DigitalOcean Hatch: How to Get $100K in Startup Credits (2026)</a> first appeared on <a rel="nofollow" href="https://aicreditmart.com">AICreditMart - Buy &amp; Sell AI Credits</a>.&lt;/p&gt;</p>
]]></description>
										<content:encoded><![CDATA[<!-- FOCUS_KEYWORD: DigitalOcean Hatch credits -->
<div class="hook-introduction">

<p>Up to $100,000 in DigitalOcean free credits is on the table through the DigitalOcean Hatch (now “DigitalOcean Startups”) program, plus 3 months of free GPU usage if you qualify. That’s enough to run a serious app stack for a year without burning cash on infrastructure.</p>



<p>Startup founders trying to stretch runway, engineers moving off Heroku-style pricing, and AI teams that need a clean path to Kubernetes + managed databases tend to get the most out of it. If you have an accelerator or VC affiliation, the odds of landing a higher tier are better.</p>



<p>This guide breaks down DigitalOcean Hatch eligibility, the exact signup steps, what the credits cover (and what they don’t), and how to avoid the common “oops, I got billed” moments.</p>

</div>

<div class="quick-facts-section">

<h2 class="wp-block-heading">Program at a Glance</h2>



<table class="quick-facts-table" role="presentation" aria-label="Credit program quick facts">
  <tbody>
    <tr><td><strong>Provider</strong></td><td>DigitalOcean</td></tr>
    <tr><td><strong>Credit Amount</strong></td><td>Up to $100,000 compute credits + 3 months free GPU</td></tr>
    <tr><td><strong>Duration</strong></td><td>12 months credits (monthly cap), plus 15 months support</td></tr>
    <tr><td><strong>Eligibility</strong></td><td>New DO customer, Series A or less, non-services business</td></tr>
    <tr><td><strong>Credit Card Required?</strong></td><td>Yes, required at signup for billing/overages</td></tr>
    <tr><td><strong>Difficulty</strong></td><td>Intermediate; application + approval, partner tier affects amount</td></tr>
    <tr><td><strong>Best For</strong></td><td>Droplets/DOKS, managed DBs, App Platform, storage</td></tr>
    <tr><td><strong>Official Page</strong></td><td><a href="https://www.digitalocean.com/startups" rel="nofollow noopener" target="_blank">DigitalOcean Program Page</a></td></tr>
  </tbody>
</table>

</div>

<div class="program-overview-section">

<h2 class="wp-block-heading">What You Actually Get</h2>



<p>The DigitalOcean Hatch Startup Program provides up to $100,000 in compute credits distributed over 12 months as a fixed monthly allocation (use-it-or-lose-it). On top of that, accepted teams get 3 months of free GPU usage, 15 months of Standard-tier support, and “startup program” extras like office hours, webinars, and one-on-one access to DigitalOcean PMs, solutions engineers, and developer advocates. There’s also marketplace exposure (a listing opportunity in the DigitalOcean Marketplace, marketed as access to 600K+ customers) and a Welcome Kit with partner perks from companies like Stripe, Cloudflare, Segment, Notion, and others.</p>



<p>In real terms, the credits are most valuable when you’re building a full product stack on DigitalOcean: compute (Droplets), Kubernetes (DOKS), storage (Spaces and Volumes), networking, and managed databases. If your team is early and you can keep a steady monthly burn under your tier’s cap, the program can cover the boring but expensive stuff for most of a year. The GPU side is the big gotcha: the standard Hatch compute credits do not pay for GPU Droplets, so you should treat the GPU benefit like a separate budget line.</p>

</div>

<div class="eligibility-section">

<h2 class="wp-block-heading">Who Qualifies (and Who Doesn&#8217;t)</h2>



<p>DigitalOcean aims Hatch at early-stage startups, and they’re explicit about a few filters. You must be a new DigitalOcean customer, and your company needs to be at Series A or less with a $10M funding cap. They also prioritize AI-native startups, which can help if you’re competing for attention.</p>



<ul class="wp-block-list">

<li>You must be a new DigitalOcean customer with no prior accounts or promotional credits.</li>


<li>A company-domain email is required for the team account (free email providers are not accepted).</li>


<li>You will need a valid credit card on the account during signup for billing and overages.</li>


<li>Your startup must be Series A or less and under the stated $10M cap.</li>

</ul>



<p>If you run a service business (consulting, agencies, web/app dev shops), you’re not eligible. And if you’ve had a DigitalOcean account or used DigitalOcean promotional credits before, you are also out.</p>

</div>

<div class="registration-section">

<h2 class="wp-block-heading">How to Sign Up</h2>



<p>Plan for about 10 minutes, plus waiting time for review.</p>



<ol class="wp-block-list">

<li>Go to digitalocean.com and create a new team account using your company domain email (for example, you@yourcompany.com). Free email providers like Gmail, Protonmail, or Hotmail are not accepted.</li>


<li>Add a valid credit card to the account during signup.</li>


<li>Go to <a href="https://do.co/AIStartups" rel="nofollow noopener" target="_blank">do.co/AIStartups</a> to open the Hatch application form (hosted on Typeform).</li>


<li>Fill out the application with your company name, website, what you are building, funding stage, team size, and your affiliated partner organization (accelerator, incubator, or VC). If you’re bootstrapped or unaffiliated, select “Other”.</li>


<li>Submit the application and wait for a response from the Hatch team.</li>


<li>If accepted, you’ll get a welcome email with your credit allocation and access to the Welcome Kit portal for partner perks.</li>

</ol>



<p>If DigitalOcean needs proof, they can request documentation at any time. For questions, the program lists <a href="mailto:hatch@digitalocean.com" rel="nofollow" target="_blank">hatch@digitalocean.com</a>.</p>

</div>

<div class="usage-section">

<h2 class="wp-block-heading">What the Credits Cover</h2>



<p>Hatch credits apply to most core DigitalOcean infrastructure products, which is why the program is genuinely useful for shipping a real application. You can spend them on compute, managed platforms, storage, networking, and DigitalOcean’s Gradient AI/ML tooling. GPU Droplets are the exception, not the rule.</p>



<table class="services-table" role="presentation" aria-label="Services available with credits">
  <thead>
    <tr>
      <th scope="col">Service / Feature</th>
      <th scope="col">What It Does</th>
      <th scope="col">Included?</th>
    </tr>
  </thead>
  <tbody>
    <tr><td>Droplets</td><td>CPU virtual machines (starting around $4/month).</td><td>✓</td></tr>
    <tr><td>Kubernetes (DOKS)</td><td>Managed Kubernetes clusters (control plane is free).</td><td>✓</td></tr>
    <tr><td>Managed Databases</td><td>PostgreSQL, MySQL, MongoDB, Kafka, Redis/caching.</td><td>✓</td></tr>
    <tr><td>GPU Droplets (H100)</td><td>NVIDIA H100 GPU compute for training/fine-tuning/inference.</td><td>✗</td></tr>
  </tbody>
</table>



<p>Notable exclusions are explicit: GPU Droplets/H100 products are billed separately, and cryptocurrency mining is prohibited. DigitalOcean also calls out that workloads consuming excessive network capacity, CPU cycles, or disk I/O are not covered by credits.</p>

</div>

<div class="limitations-section">

<h2 class="wp-block-heading">Limitations to Know About</h2>



<p>Every free-credit program has catches. With Hatch, the two that bite people are the monthly cap (no rollover) and GPU billing being separate from your compute credits.</p>



<ul class="wp-block-list">

<li>Credits are distributed as a fixed monthly allocation over 12 months, and unused credits do not roll over.</li>


<li>If you spend above your monthly credit amount, the overage is charged to your credit card.</li>


<li>Your Hatch compute credits do not cover GPU Droplet usage, even if you received the 3-month free GPU benefit.</li>


<li>Exceeding $8,400 above your credit amount in a single month can trigger a Terms breach and may end your participation.</li>

</ul>



<p>When credits run out (or when a month’s allocation is fully consumed), services don’t magically stop. You keep running, and DigitalOcean bills the difference to the credit card on file. There are also no extensions under any circumstances, so letting a few months slip by is a real cost.</p>

</div>

<div class="marketplace-cta-sell">

<h2 class="wp-block-heading">Have Unused DigitalOcean Credits?</h2>



<p>It’s common to get more credits than you can realistically burn, especially if your team’s architecture changes mid-year or you move part of the stack to another provider. Hatch credits also expire monthly and don’t roll over, so “we’ll use them later” often turns into wasted value. If you’re sitting on unused DigitalOcean credits you won’t use, AI Credit Mart lets you sell surplus credits instead of watching them go to zero.</p>



<p><strong><a href="#" onclick="acmOpen('sell'); return false;">List your unused DigitalOcean credits →</a></strong></p>

</div>

<div class="marketplace-cta-buy">

<h2 class="wp-block-heading">Need More DigitalOcean Credits?</h2>



<p>Once your free allocation is gone, paying retail isn’t your only option. AI Credit Mart lists discounted DigitalOcean credits from companies that overestimated usage or changed plans. Deals typically land about 30–70% below retail, which can make “keep it on DO for another quarter” an easy decision.</p>



<p><strong><a href="#" onclick="acmOpen('buy'); return false;">Browse discounted DigitalOcean credits →</a></strong></p>

</div>

<div class="tips-section">

<h2 class="wp-block-heading">Tips for Getting the Most Out of Your Credits</h2>



<ul class="wp-block-list">

<li>Start using credits early, because the 12-month clock starts at acceptance, not first usage.</li>


<li>Track your monthly allocation closely since unused credits are forfeited each month and do not roll over.</li>


<li>Set billing alerts in the DigitalOcean dashboard so overages don’t surprise you at the end of the month.</li>


<li>Treat GPUs as a separate budget line: you get up to 3 months free, then discounted pricing around $1.90/GPU/hour for 12 months.</li>


<li>Claim the Welcome Kit perks immediately, because some partner perks have their own requirements and expiration windows.</li>

</ul>

</div>

<div class="related-programs-section">

<h2 class="wp-block-heading">Related Credit Programs</h2>



<p>If Hatch doesn’t cover enough GPU time (or you want a simpler “GPU-first” on-ramp), the <a href="https://aicreditmart.com/ai-credits-providers/paperspace-gradient-free-tier-gpu-access-guide-2026">Paperspace Gradient Free Tier: GPU Access Guide (2026)</a> is worth a look. It’s aimed at getting you onto GPUs quickly, which can complement DigitalOcean if you keep your app stack on Droplets/DOKS but burst training elsewhere.</p>



<p>For teams whose spend is mostly model/API usage rather than infrastructure, <a href="https://aicreditmart.com/ai-credits-providers/openai-for-startups-how-to-get-2500-5000-in-credits-2026">OpenAI for Startups: How to Get $2500-$5000 in Credits</a> can pair nicely with Hatch. You can host your product on DigitalOcean and burn separate credits on model calls, which keeps your cost tracking cleaner.</p>



<p>If you’re comparing startup programs across the stack (infra plus data warehouse), <a href="https://aicreditmart.com/ai-credits-providers/snowflake-for-startups-free-credits-program-guide-2026">Snowflake for Startups: Free Credits Program Guide (2026)</a> is a common companion. A lot of AI teams run workloads on one provider and centralize analytics in another, and credits reduce the pain of that split setup.</p>


<br>


<p>Quick reference:</p>



<ul class="wp-block-list">

<li><a href="https://aicreditmart.com/ai-credits-providers/paperspace-gradient-free-tier-gpu-access-guide-2026">Paperspace Gradient Free Tier: GPU Access Guide (2026)</a>: GPU-first access for ML workloads.</li>


<li><a href="https://aicreditmart.com/ai-credits-providers/openai-for-startups-how-to-get-2500-5000-in-credits-2026">OpenAI for Startups: How to Get $2500-$5000 in Credits</a>: API credits for model usage.</li>

<li><a href="https://aicreditmart.com/ai-credits-providers/snowflake-for-startups-free-credits-program-guide-2026">Snowflake for Startups: Free Credits Program Guide (2026)</a>: Data warehouse credits for analytics.</li>

</ul>
<!-- /wp:post-content -->
</div>

<div class="faq-section">
<!-- wp:heading {"level":2} -->
<h2 class="wp-block-heading">Frequently Asked Questions</h2>
<!-- /wp:heading -->

<div class="faq-item">
<span class="question">How much are DigitalOcean Hatch Startup Program &#8211; $100000 credits worth?</span>
<!-- wp:paragraph -->
<p class="answer">Up to $100,000 in compute credits spread across 12 months, issued as a fixed monthly allocation that doesn’t roll over. In practice, they can cover most of your DigitalOcean bill for CPU infrastructure (Droplets, DOKS, managed databases, Spaces, networking, and more) as long as you stay under your monthly cap. If you’re expecting to “save them for later,” don’t. Unused monthly credits are forfeited.</p>
<!-- /wp:paragraph -->
</div>

<div class="faq-item">
<span class="question">Do I need a credit card to sign up for DigitalOcean Hatch Startup Program &#8211; $100000?</span>
<!-- wp:paragraph -->
<p class="answer">Yes, a valid credit card is required during signup.</p>
<!-- /wp:paragraph -->
</div>

<div class="faq-item">
<span class="question">How long do DigitalOcean free credits last?</span>
<!-- wp:paragraph -->
<p class="answer">The Hatch compute credits last 12 months and are issued monthly as use-it-or-lose-it allocations.</p>
<!-- /wp:paragraph -->
</div>

<div class="faq-item">
<span class="question">Can I sell my unused DigitalOcean credits?</span>
<!-- wp:paragraph -->
<p class="answer">Yes. If you have DigitalOcean credits you won&#8217;t use before they expire, you can list them on <a href="#" onclick="acmOpen('sell'); return false;">AI Credit Mart</a> and sell them at up to 70% of face value. Companies regularly list surplus credits from startup programs and enterprise agreements.</p>
<!-- /wp:paragraph -->
</div>

<div class="faq-item">
<span class="question">Where can I buy discounted DigitalOcean credits?</span>
<!-- wp:paragraph -->
<p class="answer"><a href="#" onclick="acmOpen('buy'); return false;">AI Credit Mart</a> has discounted DigitalOcean credits available from companies with surplus allocations. Prices are typically 30-70% below retail.</p>
<!-- /wp:paragraph -->
</div>

<div class="faq-item">
<span class="question">What happens when DigitalOcean credits expire?</span>
<!-- wp:paragraph -->
<p class="answer">Unused monthly Hatch credits are forfeited, and once you exceed your monthly credit amount, overages are charged to the credit card on file.</p>
<!-- /wp:paragraph -->
</div>

<div class="faq-item">
<span class="question">Do Hatch credits cover GPU Droplets (H100)?</span>
<!-- wp:paragraph -->
<p class="answer">No. Hatch compute credits do not cover GPU Droplets. Qualified startups can get up to 3 months of free GPU usage, then GPU costs are billed separately at a discounted rate (listed around $1.90 per GPU hour for 12 months, versus $2.99 on-demand standard pricing). This is the part to plan for. If your roadmap involves fine-tuning or training, estimate GPU spend early and set billing alerts so you don’t accidentally turn “free credits” into a surprise invoice.</p>
<!-- /wp:paragraph -->
</div>

<div class="faq-item">
<span class="question">What’s the biggest factor in getting the full $100K tier?</span>
<!-- wp:paragraph -->
<p class="answer">Partner affiliation. Startups referred by recognized accelerators, incubators, or VCs typically receive the highest tiers, while direct applicants can still be accepted but often get lower allocations.</p>
<!-- /wp:paragraph -->
</div>

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<div class="closing-section">
<!-- wp:paragraph -->
<p>$100K in compute credits plus real startup support is one of the better infrastructure deals out there if you’re eligible. Apply early, watch the monthly caps, and if you end up with surplus DigitalOcean credits, you have a place to sell them.</p>
<!-- /wp:paragraph -->
</div><p>&lt;p&gt;The post <a rel="nofollow" href="https://aicreditmart.com/ai-credits-providers/digitalocean-hatch-how-to-get-100k-in-startup-credits-2026/">DigitalOcean Hatch: How to Get $100K in Startup Credits (2026)</a> first appeared on <a rel="nofollow" href="https://aicreditmart.com">AICreditMart - Buy &amp; Sell AI Credits</a>.&lt;/p&gt;</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Paperspace Gradient Free Tier: GPU Access Guide (2026)</title>
		<link>https://aicreditmart.com/ai-credits-providers/paperspace-gradient-free-tier-gpu-access-guide-2026/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=paperspace-gradient-free-tier-gpu-access-guide-2026</link>
		
		<dc:creator><![CDATA[Rickard Andersson]]></dc:creator>
		<pubDate>Sat, 21 Feb 2026 22:30:06 +0000</pubDate>
				<category><![CDATA[AI credit provider]]></category>
		<guid isPermaLink="false">https://aicreditmart.com/?p=10000012</guid>

					<description><![CDATA[<p>Get Free Tier in free DigitalOcean credits. Step-by-step registration, eligibility rules, service limits, and how to buy more at 30-70% off.</p>
<p>&lt;p&gt;The post <a rel="nofollow" href="https://aicreditmart.com/ai-credits-providers/paperspace-gradient-free-tier-gpu-access-guide-2026/">Paperspace Gradient Free Tier: GPU Access Guide (2026)</a> first appeared on <a rel="nofollow" href="https://aicreditmart.com">AICreditMart - Buy &amp; Sell AI Credits</a>.&lt;/p&gt;</p>
]]></description>
										<content:encoded><![CDATA[<!-- FOCUS_KEYWORD: Gradient Free Tier -->
<div class="hook-introduction">

<p>Free GPU notebooks on Paperspace Gradient (now part of DigitalOcean) get you reliable access to an NVIDIA Quadro M4000 (8GB VRAM), plus 5GB persistent storage and 6-hour sessions you can restart endlessly. If you’re searching for DigitalOcean free credits but you mostly need GPU time for experiments, this is one of the more practical “$0” options out there.</p>



<p>ML engineers running quick benchmarks, founders validating a model before paying for real infrastructure, and students trying to finish a class project without a GPU bill tend to get the most value here. Just know what you’re signing up for. The good stuff is real, but it comes with tradeoffs.</p>



<p>This guide breaks down eligibility, the exact signup flow, the service limits that matter (public notebooks, session shutdowns, GPU availability), and a few ways to stretch the free tier further.</p>

</div>

<div class="quick-facts-section">

<h2 class="wp-block-heading">Program at a Glance</h2>



<table class="quick-facts-table" role="presentation" aria-label="Credit program quick facts">
  <tbody>
    <tr><td><strong>Provider</strong></td><td>DigitalOcean (Paperspace Gradient)</td></tr>
    <tr><td><strong>Credit Amount</strong></td><td>Free GPU notebooks (M4000 8GB reliably)</td></tr>
    <tr><td><strong>Duration</strong></td><td>6-hour sessions, unlimited restarts</td></tr>
    <tr><td><strong>Eligibility</strong></td><td>Anyone who can verify with a credit card</td></tr>
    <tr><td><strong>Credit Card Required?</strong></td><td>Yes, required for verification</td></tr>
    <tr><td><strong>Difficulty</strong></td><td>Easy; standard signup + notebook creation</td></tr>
    <tr><td><strong>Best For</strong></td><td>Jupyter experiments, prototypes, light training</td></tr>
    <tr><td><strong>Official Page</strong></td><td><a href="https://www.paperspace.com/pricing" rel="nofollow noopener" target="_blank">DigitalOcean Program Page</a></td></tr>
  </tbody>
</table>

</div>

<div class="program-overview-section">

<h2 class="wp-block-heading">What You Actually Get</h2>



<p>Paperspace Gradient’s free tier gives you GPU-powered Jupyter notebooks you run in the browser. The “reliably available” free GPU is the NVIDIA Quadro M4000 with 8GB of VRAM (Maxwell architecture), and you also get a Free-CPU option (C4). Paperspace advertises free access to higher-end Ampere GPUs like the A4000/A5000/A6000, but those are heavily constrained by availability and often grayed out when you try to start a notebook. You also get 5GB of persistent storage and a fixed 6-hour auto-shutdown per session, with unlimited restarts and no weekly GPU hour cap.</p>



<p>In real-world terms, this is enough to iterate on notebooks, run smaller fine-tunes, test data pipelines, and do reproducible experiments with saved checkpoints. It’s not a free A100 box. Honestly, it’s better to think “free M4000 notebook platform, sometimes better hardware shows up” and plan your work accordingly.</p>

</div>

<div class="eligibility-section">

<h2 class="wp-block-heading">Who Qualifies (and Who Doesn&#8217;t)</h2>



<p>Gradient’s free tier is broadly available, but it is not “no-strings-attached.” You need an account and you must verify it with a valid credit card, even if you only plan to use free machines.</p>



<ul class="wp-block-list">

<li>You need a valid credit card for verification, and Paperspace processes it through Stripe.</li>


<li>Visa, MasterCard, Amex, and Discover are accepted for the required verification step.</li>


<li>The free tier is designed for Gradient Notebooks, not Deployments or Workflows.</li>


<li>You have to be comfortable working in public notebooks on the free plan.</li>

</ul>



<p>If you can’t provide a credit card, you won’t be able to activate the free tier. And if you need private notebooks, terminal access, or production features, the free tier won’t qualify you for those.</p>

</div>

<div class="registration-section">

<h2 class="wp-block-heading">How to Sign Up</h2>



<p>Signup usually takes about 10 minutes if you have a card ready.</p>



<ol class="wp-block-list">

<li>Go to <a href="https://paperspace.com" rel="nofollow noopener" target="_blank">paperspace.com</a> and click Sign Up.</li>


<li>Create an account with email, or sign in via Google or GitHub.</li>


<li>Enter a valid credit card for verification (required for the free tier; Stripe supports Visa, MasterCard, Amex, and Discover).</li>


<li>From the dashboard, navigate to Gradient &gt; Notebooks.</li>


<li>Click Create Notebook, then pick a runtime template like PyTorch, TensorFlow, or Start from Scratch.</li>


<li>Under Machine, select a Free GPU/CPU option (Free-GPU M4000, Free-CPU C4, or check whether Free-A4000/A5000/A6000 show as available).</li>


<li>Click Start Notebook to launch your in-browser Jupyter environment.</li>

</ol>



<p>After you start the notebook, it launches directly in your browser. If a free GPU is unavailable, you may be queued or blocked from starting until capacity opens up, especially for the rarer GPUs.</p>

</div>

<div class="usage-section">

<h2 class="wp-block-heading">What the Credits Cover</h2>



<p>This “free tier” isn’t a dollar credit balance you spend down. It’s access to specific free machine types inside Gradient Notebooks, plus a small amount of persistent storage that stays across restarts. The practical scope is: run Jupyter notebooks for ML experimentation, and save artifacts under the persistent storage directory so you don’t lose work between sessions.</p>



<table class="services-table" role="presentation" aria-label="Services available with credits">
  <thead>
    <tr>
      <th scope="col">Service / Feature</th>
      <th scope="col">What It Does</th>
      <th scope="col">Included?</th>
    </tr>
  </thead>
  <tbody>
    <tr><td>Gradient Notebooks</td><td>In-browser Jupyter notebooks for ML work.</td><td>✓</td></tr>
    <tr><td>Free GPU machines</td><td>Run notebooks on shared GPUs like M4000 (8GB).</td><td>Partial</td></tr>
    <tr><td>Persistent storage (5GB)</td><td>Storage that persists between notebook restarts.</td><td>✓</td></tr>
    <tr><td>Deployments &amp; Workflows</td><td>Production deployment and workflow orchestration features.</td><td>✗</td></tr>
  </tbody>
</table>



<p>Notable exclusions: the free tier does not include Deployments or Workflows, and you don’t get terminal/shell access. Also, the A100 is not free (it requires a paid plan plus hourly pricing, around $3/hour).</p>

</div>

<div class="limitations-section">

<h2 class="wp-block-heading">Limitations to Know About</h2>



<p>Every free GPU program has catches. With Gradient’s free tier, the limits are mostly about session time, privacy, and shared capacity.</p>



<ul class="wp-block-list">

<li>Each session auto-shuts down after 6 hours, but you can restart immediately and keep going.</li>


<li>The free tier allows only 1 concurrent notebook running at a time.</li>


<li>You get 5GB of persistent storage, and overages cost about $0.29/GB/month.</li>


<li>Free tier notebooks are public, so you should not store API keys or proprietary code there.</li>


<li>There’s no terminal access on the free tier, which can be annoying for debugging.</li>


<li>Free GPU availability is not guaranteed, and you may be queued during peak demand.</li>


<li>Free machines can be used for Notebooks only, not for Gradient Deployments or Workflows.</li>


<li>You’re limited to up to 5 Gradient projects on the free tier.</li>

</ul>



<p>When credits (capacity) run out, you don’t “lose” an account balance because there isn’t one. What happens is simpler: you just can’t start the machine you want until it’s available, or you move to a paid plan and paid on-demand GPUs. The 6-hour shutdown ends your current session, but unlimited restarts mean you can resume work as long as you saved what matters to persistent storage.</p>

</div>

<div class="marketplace-cta-sell">

<h2 class="wp-block-heading">Have Unused DigitalOcean Credits?</h2>



<p>A lot of teams end up with DigitalOcean credits they can’t spend in time (especially when credits come from startup programs or internal cloud budgets). Those credits typically have expiration clocks, and watching them hit zero is painful. If you have surplus DigitalOcean credits you won’t use, AI Credit Mart lets you list them so someone else can put them to work at a discount. It’s a practical way to recover value instead of letting credits expire.</p>



<p><strong><a href="#" onclick="acmOpen('sell'); return false;">List your unused DigitalOcean credits →</a></strong></p>

</div>

<div class="marketplace-cta-buy">

<h2 class="wp-block-heading">Need More DigitalOcean Credits?</h2>



<p>If you outgrow the free M4000 notebooks, the next step is usually paid GPUs or a paid plan. You don’t always have to pay sticker price, though. AI Credit Mart lists discounted DigitalOcean credits from companies with surplus allocations, and discounts commonly land in the 30–70% range. That can stretch your runway, especially if you’re doing a few months of GPU-heavy work.</p>



<p><strong><a href="#" onclick="acmOpen('buy'); return false;">Browse discounted DigitalOcean credits →</a></strong></p>

</div>

<div class="tips-section">

<h2 class="wp-block-heading">Tips for Getting the Most Out of Your Credits</h2>



<ul class="wp-block-list">

<li>Keep secrets out of the notebook because free notebooks are public; pass credentials at runtime instead of hardcoding them.</li>


<li>Save checkpoints to persistent storage (the /storage directory) so you can recover cleanly after the 6-hour shutdown.</li>


<li>Check GPU availability during notebook creation since unavailable free GPUs show as grayed out, and try a different time or region if needed.</li>


<li>Use the pre-built templates (PyTorch, TensorFlow, Hugging Face, Stable Diffusion, fast.ai) to avoid spending half your session on environment setup.</li>


<li>Consider Google Colab if you specifically need a stronger free GPU than the M4000 and you can tolerate idle disconnects.</li>

</ul>

</div>

<div class="related-programs-section">

<h2 class="wp-block-heading">Related Credit Programs</h2>



<p>If you’re already leaning into the DigitalOcean ecosystem, the bigger swing is <a href="https://aicreditmart.com/ai-credits-providers/digitalocean-hatch-how-to-get-100k-in-startup-credits-2026">DigitalOcean Hatch</a>. Gradient’s free tier is great for experiments, but Hatch is what you look at when you’re moving toward a real product and want meaningful infrastructure credits.</p>



<p>For a “just give me a free ML environment” alternative (no marketplace bells and whistles), <a href="https://aicreditmart.com/ai-credits-providers/amazon-sagemaker-studio-lab-free-ml-environment-guide-2026">Amazon SageMaker Studio Lab</a> is worth comparing. It scratches a similar itch: notebooks first, experimentation focused.</p>



<p>If you need more control over GPU selection and you’re willing to treat “free” as a small starting bonus, <a href="https://aicreditmart.com/ai-credits-providers/how-to-get-5-500-in-runpod-free-credits-for-new-users-2026">RunPod free credits</a> can be a better fit for scaling beyond a shared free tier.</p>


<br>


<p>Quick reference:</p>



<ul class="wp-block-list">

<li><a href="https://aicreditmart.com/ai-credits-providers/digitalocean-hatch-how-to-get-100k-in-startup-credits-2026">DigitalOcean Hatch: How to Get $100K in Startup Credits (2026)</a>: Startup credits for real infrastructure spend.</li>


<li><a href="https://aicreditmart.com/ai-credits-providers/amazon-sagemaker-studio-lab-free-ml-environment-guide-2026">Amazon SageMaker Studio Lab: Free ML Environment Guide (2026)</a>: Free notebooks for learning and prototyping.</li>


<li><a href="https://aicreditmart.com/ai-credits-providers/how-to-get-5-500-in-runpod-free-credits-for-new-users-2026">How to Get $5-$500 in RunPod Free Credits for New Users (2026)</a>: Bonus credits toward on-demand GPUs.</li>

</ul>

</div>

<div class="faq-section">

<h2 class="wp-block-heading">Frequently Asked Questions</h2>


<div class="faq-item">
<span class="question">How much are Paperspace Gradient Free Tier (by DigitalOcean) credits worth?</span>

<p class="answer">They’re not a fixed dollar balance; the value is free access to shared notebook machines, most reliably the Free-GPU M4000 (8GB VRAM), plus 5GB persistent storage. In practice, you can run unlimited 6-hour notebook sessions with restarts, which is plenty for coursework, quick model experiments, and iterative prototyping. The “worth” depends on what you would otherwise pay for GPU time, but the big win is no weekly GPU hour cap. Treat any free Ampere GPU access as a bonus, not the baseline.</p>

</div>

<div class="faq-item">
<span class="question">Do I need a credit card to sign up for Paperspace Gradient Free Tier (by DigitalOcean)?</span>

<p class="answer">Yes. A valid credit card is required for account verification, even on the free tier.</p>

</div>

<div class="faq-item">
<span class="question">How long do DigitalOcean free credits last?</span>

<p class="answer">For this program, the key limit is the 6-hour auto-shutdown per notebook session, and you can restart sessions without a weekly GPU-hour cap.</p>

</div>

<div class="faq-item">
<span class="question">Can I sell my unused DigitalOcean credits?</span>

<p class="answer">Yes. If you have DigitalOcean credits you won&#8217;t use before they expire, you can list them on <a href="#" onclick="acmOpen('sell'); return false;">AI Credit Mart</a> and sell them at up to 70% of face value. Companies regularly list surplus credits from startup programs and enterprise agreements.</p>

</div>

<div class="faq-item">
<span class="question">Where can I buy discounted DigitalOcean credits?</span>

<p class="answer"><a href="#" onclick="acmOpen('buy'); return false;">AI Credit Mart</a> has discounted DigitalOcean credits available from companies with surplus allocations. Prices are typically 30-70% below retail.</p>

</div>

<div class="faq-item">
<span class="question">What happens when DigitalOcean credits expire?</span>

<p class="answer">Gradient’s free tier isn’t a spendable credit balance, so there’s nothing to “expire” like a coupon. What you will hit are usage limits: your notebook shuts down after 6 hours, and you may be unable to start a free GPU when capacity is tight. If you move to paid on-demand GPUs, that usage is billed hourly (for example, A100 instances are priced around $3/hour). So the practical outcome is: free access can be unavailable or time-limited, and paid usage is billed normally.</p>

</div>

<div class="faq-item">
<span class="question">Are the A4000/A5000/A6000 or A100 GPUs actually free on Gradient?</span>

<p class="answer">Some Ampere free instances exist but are frequently unavailable, and the A100 is not free (it requires a paid plan plus hourly charges).</p>

</div>

<div class="faq-item">
<span class="question">Is Paperspace Gradient Free Tier (by DigitalOcean) safe for private code or API keys?</span>

<p class="answer">Not really. Free tier notebooks are public, so you should not put API keys, credentials, or proprietary code in them.</p>

</div>

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<div class="closing-section">

<p>Gradient’s free tier is legit for what it is: a dependable free M4000 notebook with persistent storage and no weekly GPU-hour cap. Use it to learn, prototype, and iterate fast, and if you ever end up with surplus DigitalOcean credits, you can sell them instead of letting them die on the vine.</p>

</div><p>&lt;p&gt;The post <a rel="nofollow" href="https://aicreditmart.com/ai-credits-providers/paperspace-gradient-free-tier-gpu-access-guide-2026/">Paperspace Gradient Free Tier: GPU Access Guide (2026)</a> first appeared on <a rel="nofollow" href="https://aicreditmart.com">AICreditMart - Buy &amp; Sell AI Credits</a>.&lt;/p&gt;</p>
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