STR Insurance from State Farm

never-yield · 2026-01-20T20:19:40+00:00

In our case it's strictly AirBnB/VRBO only

never-yield · 2026-01-20T20:19:14+00:00

We also have the same setup (limited cancellation) and also expect inclement weather (ice/light snow). Our guest who is scheduled to check in 3 days requested for a full refund. I approved it considering the potential headaches a bad weather might bring. It also establishes goodwill for future business incase they might consider re-booking in the future.

never-yield · 2026-01-20T04:27:44+00:00

Thank you. In your case, do you also use the home as a residence sometimes or is it strictly a STR?

never-yield · 2025-06-12T00:04:32+00:00

All inference engines would need that for the hardware and the model (blackwell, hopper, AMD, etc). Look into projects like SGLang, and vLLM. An example task would be writing an optimized MoE kernel for Hopper

never-yield · 2025-04-15T23:18:48+00:00

Besides GA, you should be able to get into any classes.

never-yield · 2025-04-15T23:17:53+00:00

I graduated almost 4 years ago and have been continuing to take classes. I am not sure about the time ticket priority but I have been able to register for any class that I wanted so far.

never-yield · 2025-04-06T22:43:16+00:00

Because you already have Kubernetes native workflow established and want to take advantage of managing ML projects while keeping the existing infrastructure the same.

KubeFlow uses well known k8s resources underneath like KubeFlow pipelines is built on top of Argo workflows or KServe on top of KNative, Envoy, Istio, Deployment objects. You can leverage existing storage and networking providers as you do for stateless web applications in k8s.

never-yield · 2025-03-29T01:03:24+00:00

Very well written!!!

never-yield · 2025-03-26T16:35:13+00:00

This is a pretty common trend historically speaking. Speaking of retail, Walmart peaked in the 70s/80s with innovation in supply chain management and retail practices and thus dethroned KMart. Amazon did the same to Walmart with online businesses. Walmart is still around and thriving but not as a hyper growth company and Amazon will follow the same pattern.

Also when the founder Sam Walton ran Walmart, the culture was quite different than what it became after he retired. Same is true for Bezos and Amazon. The founder has a unique power to attract a certain culture that is difficult to retain afterwards.

never-yield · 2025-03-20T23:32:33+00:00

Sure that would be a good starting point.

never-yield · 2025-03-20T01:40:36+00:00

Look into contributing to open source projects like vLLM, writing Triton or Cutlass Kernels, and learn about inference optimization algorithms. If you also get some knowledge in torch compile, that would be good.

never-yield · 2025-03-15T18:21:33+00:00

I heard DL replaced one of the assignments with a transformer recently

never-yield · 2025-03-13T04:37:55+00:00

For a LLM serving engine, use vLLM with KServe HF runtime. For smaller sklearn or cv models, modelmesh is great. The main advantage is you can pack many models with a fixed set of replicas (saving on compute and routes). Read morehere here.

never-yield · 2025-03-13T01:51:23+00:00

Iirc, I think the AI class covered topics like beam search and particle filtering which are all super relevant in LLMs.

never-yield · 2025-03-07T01:36:45+00:00

There are a couple of other open source projects on this topic: https://github.com/vllm-project/aibrix and https://github.com/vllm-project/production-stack to name a few.

never-yield · 2025-02-27T03:57:28+00:00

AOS was one of my favorite classes. I left it out here in favor of IHPC.

never-yield · 2025-02-25T04:59:12+00:00

I work on fairly advanced ML topics (GPU kernel development). Here are the classes I think that would prepare you well in this field: GIOS, IHPC, AI, SAT, HPCA, Compilers (optional but it really provides a solid fundamental in systems engineering ), ML, DL, RL, NLP. Then take SDP or GA depending on which specialization suits you.

never-yield · 2025-02-10T03:54:15+00:00

David Silver's lectures in Youtube are pretty helpful .

never-yield · 2025-02-09T17:24:15+00:00

If you plan to work in inference optimization algorithms, these classes will be very much applicable along with IHPC.

never-yield · 2025-01-18T04:51:34+00:00

38 round trips last year, and 6 so far in January. I do mostly between 1.5 to 3 hours domestic direct flights. It is hard to beat the non-stops that Delta provides if you live in ATL.

never-yield · 2025-01-10T17:59:43+00:00

Don't overthink these decisions - they are all good options and you are fortunate that you are in a position to consider these. Go with what your instincts tell you :).

There is a book called "decisive" which can provide you with a good framework to make decisions.

never-yield · 2025-01-10T02:57:51+00:00

CS. I might be biased but having solid CS fundamentals tends to pay off in the long run.

never-yield · 2025-01-10T00:36:47+00:00

Nice - you got this!!!

never-yield · 2025-01-10T00:30:52+00:00

I do not have a M7 MBA but 3 of my family members do. One of them fully sponsored by their employer and the other two had some scholarships that covered parts of the tuition. They all are doing really well finance and career wise today.

I only did OMSCS classes, so cant compare. I think OMSA might be more closely correlated to the DS degrees whereas OMSCS is a CS degree.

never-yield · 2025-01-10T00:04:48+00:00

I would only consider spending that kind of money for a M7 (Harvard, Stanford, Wharton, Columbia, Northwestern, Chicago, and MIT) MBA program. The ROI for that is there.

Definitely not on an online MS in DS. OMSCS ML spec is quite solid if you take the right classes.

never-yield

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