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50:33EN
Sequoia Capital· 2024년 8월 20일팟캐스트The 40% data-center save started with an email that ended in a question markPhaidra founder Jim Gao tells Sequoia how an AlphaGo-inspired bet at Google became reinforcement learning that runs billion-dollar plants.인프라와 배포Reinforcement LearningData quality & curation+3
39:18EN
Sequoia Capital· 2024년 8월 13일팟캐스트Open and Closed Will Tie at the Same Size: PyTorch's Former Lead on Fast InferenceA six-month library swap at Meta became a five-year rebuild. Lin Qiao wants the rest of the industry to get that stack in five weeks.인프라와 배포Inference파인튜닝+3
1:13:02EN
20VC with Harry Stebbings· 2024년 8월 5일팟캐스트 · 2명David Cahn on AI Infrastructure, Capital Spending and Venture Conviction게스트 David Cahn · 진행자 Harry StebbingsThe Sequoia investor examines data centers, chips and power before explaining how he evaluates companies and builds conviction.AI cost & performance인프라와 배포Energy+2
3:18EN
Jane Street· 2024년 8월 1일Rory on Production Engineering and Incident Support at Jane StreetRory · Jane StreetA production engineer describes monitoring order engines, responding to outages and building a supportive team.관측 가능성과 안정성인프라와 배포Careers+1
3:16EN
Jane Street· 2024년 7월 18일JP on Machine Learning and Trading at Jane StreetJP · Jane StreetA Hong Kong equities trader describes his changing workday, the growth of research infrastructure, and the distinctive challenges of machine learning in finance.Machine LearningFintech인프라와 배포+1
슬라이드 3장7:43EN
Matthew Berman· 2024년 7월 17일How to Run STORM for AI-Assisted ResearchMatthew Berman · Forward FutureMatthew Berman demonstrates Stanford’s research tool, from its 2024 local setup to a cited article about dogs. The interface runs locally, while his demonstration relies on external AI and search APIs.AI agentsAI researchOpen Source+1
0:58EN
Matthew Berman· 2024년 7월 17일ASUS Vivobook S 15: A Copilot+ PC with an NPUMatthew Berman · Forward FutureMatthew Berman introduces the laptop and its local AI features in a sponsored short.제품과 UX인프라와 배포
0:58EN
Matthew 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
0:58EN
Matthew Berman· 2024년 6월 27일NVIDIA Tools for Game Streaming and Video EffectsMatthew Berman · Forward FutureIn a sponsored 2024 short, Matthew Berman describes hardware video encoding and NVIDIA Broadcast features for streamers.Creator EconomyGenerative media인프라와 배포
0:57EN
Matthew Berman· 2024년 6월 17일ASM and the Equipment Behind Semiconductor ManufacturingMatthew Berman · Forward FutureIn an ASM-sponsored short, Matthew Berman highlights the machinery and people involved in making the chips used in everyday devices.Semiconductors인프라와 배포
슬라이드 2장0:53EN
Matthew 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
슬라이드0:59EN
Matthew Berman· 2024년 6월 6일NVIDIA’s Computex 2024 AI AnnouncementsMatthew Berman · Forward FutureMatthew Berman reviews gaming assistants, digital characters, AI laptops and developer tools in an NVIDIA partner video.AI interface designGenerative media인프라와 배포
슬라이드 5장1:13:59EN
Matthew Berman· 2024년 6월 5일Jensen Huang’s Computex 2024 Vision: NIM, Blackwell and Physical AIMatthew Berman, Jensen Huang · Forward FutureMatthew Berman presents NVIDIA’s keynote on AI infrastructure, digital humans, weather simulation and robot factories, with the demonstrations and vendor claims in context.Semiconductors인프라와 배포Robotics+2
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
1:00EN
Matthew Berman· 2024년 5월 16일Matthew Berman Questions a Proposal for GPU AttestationMatthew Berman · Forward FutureBerman worries that cryptographic hardware checks could become a gatekeeper for AI computing. The short clip does not establish that such a universal approval system exists.AI security안전과 거버넌스인프라와 배포
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 3장12:37EN
Matthew Berman· 2024년 4월 2일The Reported Stargate Supercomputer and AI’s Compute BottleneckMatthew Berman, Sam Altman, Elon Musk · Forward FutureIn April 2024, Matthew Berman examines a reported Microsoft–OpenAI data-center proposal and argues that chips and electricity could shape the AI industry.인프라와 배포SemiconductorsAI cost & performance+2
슬라이드 3장51:11EN
Matthew 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
15:58EN
Matthew Berman· 2024년 3월 2일Elon Musk on Self-Driving, AI Compute and Electricity ConstraintsElon Musk, Matthew Berman · TeslaA 2024 Bosch interview and Matthew Berman’s commentary explore autonomous vehicles, robots and the infrastructure needed for AI.Autonomous DrivingAGI TimelinesRobotics+2
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