🤖 AI Infrastructure - Cloud Cost Reality Check
Public cloud is often touted as the cheapest option for AI infrastructure, but the reality is that it can cost 10-20x more for many organizations. Don't blindly follow the "easy button" - always check the numbers for your specific needs.
Key Points:
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Cloud Cost Reality: Public cloud costs can be significantly higher than on-premises infrastructure for AI workloads, especially for large-scale deployments.
Cost Comparison: A 10-20x cost difference is not uncommon, highlighting the need for careful cost analysis and optimization.
Actionable Takeaway: Always perform a thorough cost analysis before choosing a cloud provider, and consider on-premises options for large-scale AI workloads.
🔗 Resources:
- Original post ↗
- David Linthicum (@DavidLinthicum)
- Cloud Cost Reality Check
🚀 AI Infrastructure - Autonomous Vehicle Unlock
The moment autonomous vehicles become more expensive than self-driving cars is when they will start to take off. This is the unlock that will drive widespread adoption.
Key Points:
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Autonomous Vehicle Cost: The cost of autonomous vehicles will be a key factor in their adoption, with self-driving cars being a more affordable option.
Unlocking Adoption: The moment autonomous vehicles become more expensive than self-driving cars is when they will start to gain widespread adoption.
Actionable Takeaway: Consider the cost implications of autonomous vehicles in your development and deployment plans.
🔗 Resources:
- Original post ↗
- Aron Chick (@aronchick)
- Autonomous Vehicle Unlock
🤖 AI Infrastructure - 30B Nemotron Model
Nvidia and Palantir have fine-tuned a 30B Nemotron model for Nvidia's supply chain, achieving better performance than a model 18 times its size.
Key Points:
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30B Nemotron Model: A 30B Nemotron model has been fine-tuned for Nvidia's supply chain, achieving impressive performance gains.
Model Size: The model is significantly smaller than a comparable model, making it more efficient and scalable.
Actionable Takeaway: Consider the benefits of fine-tuning large language models for specific use cases.
🔗 Resources:
- Original post ↗
- The New Stack (@thenewstack)
- 30B Nemotron Model
🚀 AI Infrastructure - Skills + Shell + CodeAct
The recipe for agents that move beyond chat and into action is Skills + Shell + CodeAct. This combination enables agents to execute tasks, reason through workflows, and run autonomously.
Key Points:
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Skills + Shell + CodeAct: This combination enables agents to move beyond chat and into action, executing tasks and reasoning through workflows.
Agent Autonomy: Agents can run autonomously, making decisions and taking actions without human intervention.
Actionable Takeaway: Consider the benefits of combining skills, shell, and CodeAct in your agent development.
🔗 Resources:
- Original post ↗
- .NET (@dotnet)
- Skills + Shell + CodeAct
🚀 AI Infrastructure - AgentWorks Hackathon
The AgentWorks Hackathon by CrowdStrike and Nvidia is here, challenging developers to build AI agents that scale security expertise and defend at machine speed.
Key Points:
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AgentWorks Hackathon: This hackathon challenges developers to build AI agents that scale security expertise and defend at machine speed.
Free AI Credits: Participants will receive free AI credits to support their development.
Actionable Takeaway: Consider participating in the AgentWorks Hackathon to develop and showcase your AI agent skills.
🔗 Resources:
- Original post ↗
- CrowdStrike (@CrowdStrike)
- AgentWorks Hackathon
🤖 AI Infrastructure - Enterprise-Grade AI
CBRE has partnered with Google Cloud and McKinsey to build an enterprise-grade AI platform that reimagines workflows and transforms operations.
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Enterprise-Grade AI: CBRE has developed an enterprise-grade AI platform that reimagines workflows and transforms operations.
Partnership: The partnership with Google Cloud and McKinsey has enabled CBRE to develop a robust and scalable AI platform.
Actionable Takeaway: Consider the benefits of developing an enterprise-grade AI platform for your organization.
🔗 Resources:
- Original post ↗
- Google Cloud Partners (@gcloudpartners)
- Enterprise-Grade AI
🚀 AI Infrastructure - Winter Break Models Breakthrough
The winter break models breakthrough has led to a significant shift in the AI landscape, with many developers changing their minds on AI in 2026.
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Winter Break Models: The winter break models breakthrough has led to a significant shift in the AI landscape.
Developer Mindset: Many developers have changed their minds on AI in 2026, highlighting the importance of staying up-to-date with the latest developments.
Actionable Takeaway: Consider the benefits of staying informed about the latest AI developments and breakthroughs.
🔗 Resources:
- Original post ↗
- Gergely Orosz (@GergelyOrosz)
- Winter Break Models Breakthrough
🤖 AI Infrastructure - 29% Cloud Waste
29% of cloud spend was waste in 2026, highlighting the need for careful cost analysis and optimization.
Key Points:
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Cloud Waste: 29% of cloud spend was waste in 2026, emphasizing the importance of cost optimization.
Cost Analysis: Careful cost analysis is essential to avoid waste and optimize cloud spend.
Actionable Takeaway: Consider performing a thorough cost analysis to optimize your cloud spend.
🔗 Resources:
- Original post ↗
- Eon.io (@Eon_io_)
- 29% Cloud Waste
🚀 AI Infrastructure - Production as Development
Production is a stage of development, not a separate phase. This mindset shift can help developers and organizations approach production with a more iterative and agile mindset.
Key Points:
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Production as Development: Production is a stage of development, not a separate phase.
Iterative Mindset: This mindset shift can help developers and organizations approach production with a more iterative and agile mindset.
Actionable Takeaway: Consider adopting an iterative mindset when approaching production.
🔗 Resources:
- Original post ↗
- Pragmatic Engineering (@Pragmatic_Eng)
- Production as Development
🤖 AI Infrastructure - Living with AI
We need to figure out how to live in a world with AI, just as we have learned to live with other technologies like guns, nuclear weapons, and social media.
Key Points:
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Living with AI: We need to adapt to living with AI, just as we have with other technologies.
Adaptation: This requires a mindset shift and a willingness to learn and adapt.
Actionable Takeaway: Consider the importance of adapting to living with AI.
🔗 Resources:
- Original post ↗
- GSto (@GSto)
- Living with AI
