The Cloudcast Massive Studios

Happy Mothers Day! And let’s explore some new happenings at the intersection of open source and AI. 
SHOW: 820
SHOW TRANSCRIPT: The Cloudcast #820
SHOW VIDEO: https://youtube.com/@TheCloudcastNET 
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"


SHOW NOTES:
InstructLab Project (github homepage)LAB: Large-Scale Alignment for ChatBots (research paper)Granite LLMs (IBM research - Hugging Face)7b-base model7b-lab model

HAPPY MOTHERS DAY TO ALL THE MOMS
Call you mom, be good to your wife, and be a role model for the young girls in your life

OPEN SOURCE MEETS AI
The big AI question: 1 model, or many models?2023 was the year of model diversity, and the beginnings of “open” models (Llama 2, Mistral, etc.)Can we make it easier to contribute to an open model?Can we create communities around models?Can we reduce the costs of expensive parts of AI? How can businesses bring their knowledge to a model, without security concerns about their data? (options like RAG (retrieval augmented generation) exist)

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Malte Ubl (@cramforce, CTO @Vercel) talks about Front-End web development and clouds, how AI impacts front-end infrastructure, and impacts to the business.

SHOW: 819

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:
Vercel (homepage)Elevate your frontend with AIV0.devTopic 1 - Our topic for today is front-end development and front-end clouds, and we’ll also explore AI-generated front ends. Our guest is Malte Ubl, CTO at Vercel. Malte, welcome to the show. Give everyone a quick background on your time at Vercel and Google Search.

Topic 2 - Let’s start at the start. We hear all the time about front-end developers and back-end developers. What is your definition of a front-end and, more specifically, a front-end cloud?

Topic 3 - What are the most common use cases you see today? What problem are you solving when you talk to organizations?

Topic 4 - How much of a front-end is typically integrated with 3rd party services, and how much is build your own?

Topic 5 - Where does AI fit into this from a developer's perspective? Are we to the point where we can develop a front-end from a prompt?

Topic 6 - Let’s talk about the business side of this. Do companies typically have a “front-end problem”? If so, what does it look like, and how do they know?

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What are the key characteristics and red flags with today’s leaders in the tech industry? How to identify the leadership skills, the team building skills, and the execution skills.
SHOW: 818
SHOW TRANSCRIPT: The Cloudcast #818
SHOW VIDEO: https://youtube.com/@TheCloudcastNET 
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"


SHOW NOTES:


WHERE ARE THE LEADERS IN THEIR CAREERS? 
Are they a 1st time manager?Have they managed distributed teams? Managed multiple teams?Have they managed a P&L? Have they had significant success in the past? What was their role?

LEADERSHIP SKILLS, TEAM BUILDING, EXECUTION AND RED FLAGS
Are you joining an established “team” or group that’s worked together before?Is the leader repeating a previous success, in a similar or different domain?What motivates the leader? What is their view on competition?What are the leader’s best skills? Do they recognize this? Does the leader augment their skills with the team around them? Do they recognize this?Does your personality mesh with the team you’re joining, or are you expecting to be a change agent?



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Aaron (@aarondelp) and Brian (@bgracely) talk about all the major news stories in Cloud and AI from April 2024

SHOW: 817

TRANSCRIPT: Cloudcast #817 - CNOTM - April 2024

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"

SHOW NOTES: 
LINKS TO ALL ARTICLES FOR APRIL 2024 CLOUD NEWSSegments Covered in the Show:
Good Old Fashioned Cloud NewsThe AI Innovation Continues - Speed RoundTrend 1 - 2024 is going to be a year of big announcementsTrend 2 - We’re starting to see some (early) reality set in with AITrend 3 - Lots of things are being lost between Broadcom/VMware and AI discussionsFEEDBACK?
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Every few years we have to be reminded that open source isn’t a business model. Let’s talk about the business dynamics that everyone seems to keep forgetting.  
SHOW: 816
SHOW TRANSCRIPT:  The Cloudcast #816
SHOW VIDEO: https://youtube.com/@TheCloudcastNET 
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"


SHOW NOTES:
Adam Jacobs discusses open source and business (The Changelog)“figure out how to play nice with competition” (Twitter)The will never be another Red Hat - Economics of OSS (a16z)OPEN SOURCE IS A LICENSE, NOT A BUSINESS MODEL
There are rules around software licenses (e.g. Apache, GPL, etc.)There are no rules about how people feel about software, creators or maintainersFREE, FREE TIERS, EXTENSIONS, CLONES
Red Flags: Writes most of the code, took VC funding (multiple rounds)Green flags: Lots of diverse (companies) contributorsYellow flags:  Foundation owns copyright“There’s the business side and there’s the hippie side of OSS”“I have endless ambitions”“I didn’t build a forever entity”“When is the rug pull going to happen?”If a company takes VC funding, is open source anything more than a marketing vehicle?“Docker figured it out and now they are doing like $100M”. Did they? When is OSS personal, and when is it a company?Will there never be another Red Hat, or just not another Linux?How much is too much when determining if a company should give things away for free?

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John Yue (CEO & Co-Founder @ inference.ai) discusses AI workload sizing, matching GPUs to workloads, availability of GPUs vs. costs, and more.

SHOW: 815

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:
Inference.ai (homepage)TechCrunch postSiliconAngle post on ChatGPUTopic 1 - Our topic for today is sizing and IaaS hosting for AI/ML. We’ve covered a lot of basics lately, today we’re going to dig deeper. There is a surprising amount of depth to AI sizing, and it isn’t just speeds and feeds of GPUs. We’d like to welcome John Yue (CEO & Co-Founder @ inference.ai) for this discussion. John, welcome to the show

Topic 2 - Let’s start with sizing, I’ve talked to a lot of customers recently with my day job, and it is amazing how deep AI/ML sizing can go. First, you have to size for training/fine-tuning differently than you would for the inference stage. Second, some just think, pick the biggest GPUs you can afford and go. How should your customers approach this? (GPU’s, software dependencies, etc.)

Topic 2a - Follow-up question what are the business side, what are the business parameters that need to be considered? (budget, cost efficiency, latency/response time, timeline, etc.)

Topic 3 - The whole process can be overwhelming and as we mentioned, some organizations may not think of everything. You recently announced a chatbot to help with this exact process, ChatGPU. Tell everyone a bit about that and how it came to be.

Topic 4 - This is almost like a match-making service, correct? Everyone wants an H100, but not everyone needs or can afford an H100.

Topic 5 - How does GPU availability play into all of this? NVIDIA is sold out for something like 2 years at this point; how is that sustainable? Does everything need to run on a “Ferrari class” NVIDIA GPU?

Topic 6 -  What’s next in the IaaS for AI/ML space? What does a next-generation data center for AI/ML look like? Will the Industry move away from GPUs to reduce dependence on NVIDIA?

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