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0:58EN
MBMatthew Berman· 2024년 7월 11일NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.인프라와 배포모델과 학습
슬라이드 2장0:53EN
MBMatthew Berman· 2024년 6월 7일NVIDIA’s Computex Keynote: Digital Humans, Weather and RoboticsMatthew Berman · Forward FutureMatthew Berman briefly reviews Jensen Huang’s announcements on AI-generated characters, weather modeling, Blackwell hardware and factory robots.Generative media인프라와 배포Robotics
31:04EN
Cognitive Revolution "How AI Changes Everything"· 2024년 6월 4일팟캐스트The Risk Is Not China Copying. It Is America Refusing to Use the Tools진행자 Nathan LabenzAt the 2024 Hill & Valley Forum, Alex Wang, Jack Clark, and Andrew Ng tell Senator Cory Booker that Chinese labs are inventing, open-source models are already strong, and the Pentagon’s real AI failure is under-adoption.기업과 전략Geopolitics안전과 거버넌스+3
39:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 5월 22일팟캐스트 · 2명JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.진행자 Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.인프라와 배포Data quality & curationPost-training+3
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 5월 9일팟캐스트 · 2명The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plant진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.인프라와 배포AI cost & performance컨텍스트 엔지니어링+3
1:52:18EN
Cognitive Revolution "How AI Changes Everything"· 2024년 5월 6일팟캐스트Two Weeks, Thirty Compiles: How Adam Majmudar Wrote a GPU From Scratch진행자 Nathan LabenzA Cognitive Revolution walkthrough of TinyGPU, from SIMD kernels and memory latency to an open-source chip flow that runs on a laptop.인프라와 배포GPU programming & kernelsOpen-source ecosystems+2
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 2024년 4월 20일팟캐스트The Cheapest Inference Provider Is the Most Dangerous진행자 Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.인프라와 배포InferenceAI cost & performance+3
슬라이드 3장51:11EN
MBMatthew Berman· 2024년 3월 22일Inside Groq’s LPU: Compilers, Chip Networks and Fast InferenceMatthew Berman, Andrew Ling, Igor Arsovski · Forward FutureGroq engineers Andrew Ling and Igor Arsovski explain their hardware and software design in a sponsored 2024 interview.인프라와 배포InferenceAI cost & performance
38:33EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 21일팟캐스트 · 2명Speed Is the Thing You Can Buy: Baseten’s Bet on Inference진행자 Sarah Guo, Elad GilTuhin Srivastava tells Sarah Guo and Elad Gil why a six-person chatbot company running a billion tokens a day should not be building its own serving stack.인프라와 배포InferenceAI cost & performance+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 7일팟캐스트 · 2명Meta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion Question진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Gemini, Mistral, NVIDIA’s upgrade cycle, Klarna’s support bot, and why the real AI spend still sits with the hyperscalers.기업과 전략AI Strategy엔터프라이즈 AI+3
39:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 2월 29일팟캐스트 · 2명MI300 Leads Inference by 2x: AMD's CTO on Winning Chip Competition Without a Walled Garden진행자 Sarah Guo, Elad GilWhen Mark Papermaster became AMD's CTO in fall 2011, nearly all of the company's revenue sat on PCs and gaming, Moore's Law was slowing, and everyone knew it needed a turnaround.인프라와 배포InferenceAI cost & performance+3
3:37EN
MBMatthew Berman· 2024년 1월 18일Mark Zuckerberg Announces Llama 3 Training and Meta’s AI PlansMatthew Berman, Mark Zuckerberg · Forward FutureIn January 2024, Matthew Berman reacts to Zuckerberg’s remarks on general intelligence, compute and AI devices.Open-weight modelsAI History인프라와 배포+1
39:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 12월 14일팟캐스트 · 2명The Most Underestimated AI Buyer Is the Shop on the Corner진행자 Sarah Guo, Elad GilFormer Square CEO Alyssa Henry tells No Priors that generative AI is unlocking work small merchants always needed and never paid anyone to do.기업과 전략Product StrategyAI Adoption+3
55:34EN
JSJane Street· 2023년 11월 29일Andrew Hunter on Performance Engineering for Low-Latency SystemsRon Minsky, Andrew Hunter · Jane StreetWhy small optimizations pay at hyperscale, why trading latency is harder to measure, and how profiling, tracing, language design and hardware fit together.Software engineering관측 가능성과 안정성Programming Languages+2
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 18일팟캐스트1,000 H100s Take 115 Days; 22,000 Take Five진행자 Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.모델과 학습AI researchModel Interpretability+3
슬라이드 3장4:42EN
MBMatthew Berman· 2023년 10월 17일Connecting AutoGen to a Local Model With LM StudioMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup and explains where agent behavior still needs work.에이전트Open-weight models인프라와 배포
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 7일팟캐스트 · 2명A Dinner-Plate Chip Cut Training From 60 Days to 3.5진행자 Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.인프라와 배포InferenceAI cost & performance+3
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 31일팟캐스트 · 2명ChatGPT Runs on His Framework. He Still Doesn't Want You Training a Model진행자 Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.인프라와 배포개발 워크플로와 테스트관측 가능성과 안정성+3
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 25일팟캐스트AlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.진행자 Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.인프라와 배포AI cost & performanceDistributed training & inference+3
3:08:46EN
Lex Fridman· 2023년 6월 29일팟캐스트 · 2명Who owns the off switch? George Hotz on tinygrad, open-source AI, and God게스트 George Hotz · 진행자 Lex FridmanOn his third Lex Fridman podcast, the comma.ai and tiny corp founder argues that compute, intelligence, and the off switch should live in people's houses, not in a trusted few.오픈소스와 커뮤니티인프라와 배포Open-source ecosystems+3
3:34:03EN
Lex Fridman· 2023년 6월 2일팟캐스트 · 2명Python Isn't Finished: Chris Lattner on Mojo and the Hardware Mess게스트 Chris Lattner · 진행자 Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.인프라와 배포AI platform engineeringSoftware engineering+3
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 2023년 5월 25일팟캐스트A Wafer-Scale Chip So AI Stops Waiting on Amdahl진행자 Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.인프라와 배포InferenceAI cost & performance+3
54:56EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 5월 24일팟캐스트 · 2명Kevin Scott Seized Microsoft's GPU Budget, Bet on OpenAI, and Still Didn't See ChatGPT Coming진행자 Sarah Guo, Elad GilFive months after ChatGPT launched, Microsoft's CTO walked No Priors through the all-in bet, the Copilot stack, and why he is still bullish on jobs.기업과 전략AI Strategy엔터프라이즈 AI+3
6:42EN
JSJane Street· 2023년 5월 23일Ezio on Linux Engineering and Collaboration at Jane StreetEzio · Jane StreetA London engineer explains his team’s infrastructure work, the Pride community group and why new hires should ask questions.인프라와 배포Company CultureCareers+1
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