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    <title>Forem: Krish Wadhwani</title>
    <description>The latest articles on Forem by Krish Wadhwani (@adviser_labs).</description>
    <link>https://forem.com/adviser_labs</link>
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      <title>Forem: Krish Wadhwani</title>
      <link>https://forem.com/adviser_labs</link>
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      <title>First $100 compute free! A One-Command Way to Run Heavy Jobs in the Cloud (Looking for Feedback)</title>
      <dc:creator>Krish Wadhwani</dc:creator>
      <pubDate>Wed, 19 Nov 2025 21:19:07 +0000</pubDate>
      <link>https://forem.com/adviser_labs/first-100-compute-free-a-one-command-way-to-run-heavy-jobs-in-the-cloud-looking-for-feedback-1cmo</link>
      <guid>https://forem.com/adviser_labs/first-100-compute-free-a-one-command-way-to-run-heavy-jobs-in-the-cloud-looking-for-feedback-1cmo</guid>
      <description>&lt;p&gt;Hey everyone! A few of us have been building a tool over the past year to simplify running compute-heavy workloads in the cloud. It started as something we made for internal research teams who didn’t want to spend time wiring up infra every time they ran a job, but we’re curious if it’s useful to a wider developer/DevOps audience.&lt;/p&gt;

&lt;p&gt;The problem we kept running into...&lt;/p&gt;

&lt;p&gt;Spinning up cloud resources for workloads: ML training, data pipelines, simulations, etc. usually requires a decent amount of DevOps plumbing...&lt;br&gt;
-provisioning instances&lt;br&gt;
-setting up environments&lt;br&gt;
-handling IAM + networking&lt;br&gt;
-writing Terraform&lt;br&gt;
-scaling rules&lt;br&gt;
-cleanup afterward&lt;/p&gt;

&lt;p&gt;A lot of folks told us they just wanted to run their code and not think about infra for every job.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What we built:&lt;/strong&gt; We created Adviser, which lets you take any command you normally run and just prepend:&lt;/p&gt;

&lt;p&gt;adviser run &lt;/p&gt;

&lt;p&gt;Examples:&lt;/p&gt;

&lt;p&gt;adviser run python train.py&lt;br&gt;
adviser run Rscript analysis.R&lt;br&gt;
adviser run ./simulate&lt;/p&gt;

&lt;p&gt;Adviser handles provisioning, environment setup, cost/performance optimization, scaling, and teardown automatically.  can be Python, R, C++, Rust, shell scripts - anything.&lt;/p&gt;

&lt;p&gt;Who this is for&lt;br&gt;
-ML engineers, Data scientists, devops and platform engineers supporting heavy workloads, researchers running simulations or pipelines&lt;/p&gt;

&lt;p&gt;Why we’re posting here:&lt;br&gt;
We’re opening up a self-serve version and genuinely want feedback from folks who run cloud workloads professionally. If this seems redundant, missing obvious features, or solves a real headache...all perspectives are helpful.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;To make testing easier, we’re giving every new user $100 of free compute.&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Links&lt;br&gt;
Docs: &lt;a href="https://github.com/adviserlabs/docs" rel="noopener noreferrer"&gt;https://github.com/adviserlabs/docs&lt;/a&gt;&lt;br&gt;
Slack: &lt;a href="https://www.adviser.sh/" rel="noopener noreferrer"&gt;https://www.adviser.sh/&lt;/a&gt;&lt;br&gt;
Demo: &lt;a href="https://www.youtube.com/shorts/F9feaOr3TbA" rel="noopener noreferrer"&gt;https://www.youtube.com/shorts/F9feaOr3TbA&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Happy to answer any questions or hear thoughts on what would make this more useful.&lt;/p&gt;

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      <category>devops</category>
      <category>ai</category>
      <category>aws</category>
      <category>cloud</category>
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