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241 件
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50:33EN
Sequoia Capital· 2024年8月20日ポッドキャストThe 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.インフラとデプロイReinforcement LearningData quality & curation+3
39:18EN
Sequoia Capital· 2024年8月13日ポッドキャストOpen 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.インフラとデプロイInferenceファインチューニング+3
1:13:02EN
20VC with Harry Stebbings· 2024年8月5日ポッドキャスト · 2 人David Cahn on AI Infrastructure, Capital Spending and Venture Convictionゲスト David Cahn · ホスト Harry StebbingsThe Sequoia investor examines data centers, chips and power before explaining how he evaluates companies and builds conviction.AI cost & performanceインフラとデプロイEnergy+2
3:18EN
Jane Street· 2024年8月1日Rory 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.オブザーバビリティと信頼性インフラとデプロイCareers+1
3:16EN
Jane Street· 2024年7月18日JP 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 LearningFintechインフラとデプロイ+1
スライド 3 枚7:43EN
Matthew Berman· 2024年7月17日How 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· 2024年7月17日ASUS 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.プロダクトと UXインフラとデプロイ
0:58EN
Matthew Berman· 2024年7月11日NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.インフラとデプロイモデルと学習
0:58EN
Matthew Berman· 2024年6月27日NVIDIA 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 mediaインフラとデプロイ
0:57EN
Matthew Berman· 2024年6月17日ASM 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.Semiconductorsインフラとデプロイ
スライド 2 枚0:53EN
Matthew Berman· 2024年6月7日NVIDIA’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 mediaインフラとデプロイRobotics
スライド0:59EN
Matthew Berman· 2024年6月6日NVIDIA’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 mediaインフラとデプロイ
スライド 5 枚1:13:59EN
Matthew Berman· 2024年6月5日Jensen 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.SemiconductorsインフラとデプロイRobotics+2
31:04EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月4日ポッドキャストThe Risk Is Not China Copying. It Is America Refusing to Use the Toolsホスト 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.企業と戦略Geopolitics安全性とガバナンス+3
39:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月22日ポッドキャスト · 2 人JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.ホスト 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.インフラとデプロイData quality & curationPost-training+3
1:00EN
Matthew Berman· 2024年5月16日Matthew 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 security安全性とガバナンスインフラとデプロイ
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月9日ポッドキャスト · 2 人The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plantホスト 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.インフラとデプロイAI cost & performanceコンテキストエンジニアリング+3
1:52:18EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月6日ポッドキャストTwo Weeks, Thirty Compiles: How Adam Majmudar Wrote a GPU From Scratchホスト Nathan LabenzA Cognitive Revolution walkthrough of TinyGPU, from SIMD kernels and memory latency to an open-source chip flow that runs on a laptop.インフラとデプロイGPU programming & kernelsOpen-source ecosystems+2
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月20日ポッドキャストThe Cheapest Inference Provider Is the Most Dangerousホスト 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.インフラとデプロイInferenceAI cost & performance+3
スライド 3 枚12:37EN
Matthew Berman· 2024年4月2日The 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.インフラとデプロイSemiconductorsAI cost & performance+2
スライド 3 枚51:11EN
Matthew Berman· 2024年3月22日Inside 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.インフラとデプロイInferenceAI cost & performance
38:33EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月21日ポッドキャスト · 2 人Speed Is the Thing You Can Buy: Baseten’s Bet on Inferenceホスト 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.インフラとデプロイInferenceAI cost & performance+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月7日ポッドキャスト · 2 人Meta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion Questionホスト 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.企業と戦略AI Strategyエンタープライズ AI+3
15:58EN
Matthew Berman· 2024年3月2日Elon 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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