이 팟캐스트 소개 🔗
An excellent source for industry thought leadership in Edge Computing, Cloud Computing, DevOps, Open Source base on discussions at.the2030.cloud
진행자:
업데이트 빈도:
weekly
평균 오디오 길이:
45 minutes
게스트 인터뷰
영어
미국
에피소드 538 개
2017년 8월 25일부터
episodic
AUDIENCE OF THIS PODCAST 🔗
~99.03% of listeners are from United States.
🇺🇸
US
99.03%
🇵🇭
PH
0.21%
🇨🇦
CA
0.17%
🇸🇪
SE
0.17%
Others
0.42%
* Data source: directly measured on Listen Notes. 실시간
최신 에피소드 🔗
This week we welcome Michael Turner back to discuss his company’s adoption of AI, including employee attitudes, spending, and usage tracking. We explore agentic tools connected to workplace services and the importance of testing, review, and human judgment when using AI to develop and maintain soft…
이전 에피소드 🔗
In this episode, we continue our discussion of governed execution for agentic AI and how to prevent agents from taking actions they should not take. We use a maintenance example to examine access, approvals, revocation, rollback, and human checkpoints across systems such as ERP, inventory, HRIS, pl…
This week we discuss the role of a harness in AI systems and why it matters for infrastructure, tool use, rules, and operational constraints when an AI acts on behalf of a person or organization. We also distinguish agency, delegation, authorization, authentication, and accountability, and explain …
In this episode, we are joined by guest Byron Dill from Summit for a great deep dive into virtualization. We talk about virtualization from an enterprise and infrastructure perspective, with a focus on VMware, its recent announcements, and how the market is responding to changes in virtualization s…
In this episode, we focus on token cost and token optimization in generative AI, and we discuss why token use needs budgets and controls rather than being treated as unlimited. We also talk about how repeated prompting, testing, and downstream work can quickly increase token consumption. We also ta…
In this episode, we get into current market news, including pending IPOs, hardware investment, and IBM’s AI-related announcement with Red Hat, and what this may mean for open weights models and hybrid AI. We also talk about hyper-compressed and ultra-quantized models, specialized hardware, and how …
In this episode, we discuss Red Hat’s enterprise AI work, including OpenShift AI, safety guardrails, and router-based model selection. We also talk about smaller AI systems, long-term memory, and the limits of frontier models in enterprise workflows.
We cover governance, forensic traceability, and …
This week we have an exciting conversation about harnesses, neoclouds, open weights models, and the current AI infrastructure landscape. We discuss bare metal automation, agent-friendly APIs, CPU compute, GPU economics, and why some providers are moving up the stack toward models and APIs.
We also …
We discuss the acquisition of Mirantis by the neocloud company IREN, and use it to examine the current market for infrastructure and AI deployment. We look at Mirantis’ consulting business, Kubernetes distribution, and its earlier acquisition of parts of Docker, including the registry and enterpris…
In this episode we discuss whether AI and LLMs are changing the role of open source, including the pressure on maintainer review queues and the growing appeal of private forks and internal maintenance. We also talk about the security tradeoffs of those forks, especially around visibility, dependenc…
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 the2030.cloud Podcast에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
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‐ Isaac "Llamacorn" Newton
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