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MBMatthew Berman· 11 jul 2024NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.Infraestructura y despliegueModelos y entrenamiento
2 diapositivas0:53EN
MBMatthew Berman· 7 jun 2024NVIDIA’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 mediaInfraestructura y despliegueRobotics
Diapositivas0:59EN
MBMatthew Berman· 6 jun 2024NVIDIA’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 mediaInfraestructura y despliegue
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Cognitive Revolution "How AI Changes Everything"· 4 jun 2024PódcastThe Risk Is Not China Copying. It Is America Refusing to Use the ToolsPresenta: 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.Empresa y estrategiaGeopoliticsSeguridad y gobernanza+3
39:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 22 may 2024Pódcast · 2 vocesJPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.Presenta: 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.Infraestructura y despliegueData quality & curationPost-training+3
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 may 2024Pódcast · 2 vocesThe Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power PlantPresenta: 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.Infraestructura y despliegueAI cost & performanceIngeniería de contexto+3
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Cognitive Revolution "How AI Changes Everything"· 6 may 2024PódcastTwo Weeks, Thirty Compiles: How Adam Majmudar Wrote a GPU From ScratchPresenta: Nathan LabenzA Cognitive Revolution walkthrough of TinyGPU, from SIMD kernels and memory latency to an open-source chip flow that runs on a laptop.Infraestructura y despliegueGPU programming & kernelsOpen-source ecosystems+2
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Cognitive Revolution "How AI Changes Everything"· 20 abr 2024PódcastThe Cheapest Inference Provider Is the Most DangerousPresenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
3 diapositivas51:11EN
MBMatthew Berman· 22 mar 2024Inside 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.Infraestructura y despliegueInferenceAI cost & performance
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No Priors: AI, Machine Learning, Tech, & Startups· 21 mar 2024Pódcast · 2 vocesSpeed Is the Thing You Can Buy: Baseten’s Bet on InferencePresenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & Startups· 7 mar 2024Pódcast · 2 vocesMeta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion QuestionPresenta: 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.Empresa y estrategiaAI StrategyIA empresarial+3
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MBMatthew Berman· 2 mar 2024Elon 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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No Priors: AI, Machine Learning, Tech, & Startups· 29 feb 2024Pódcast · 2 vocesMI300 Leads Inference by 2x: AMD's CTO on Winning Chip Competition Without a Walled GardenPresenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
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MBMatthew Berman· 18 ene 2024Mark 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 HistoryInfraestructura y despliegue+1
39:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 14 dic 2023Pódcast · 2 vocesThe Most Underestimated AI Buyer Is the Shop on the CornerPresenta: 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.Empresa y estrategiaProduct StrategyAI Adoption+3
55:34EN
JSJane Street· 29 nov 2023Andrew Hunter on Performance Engineering for Low-Latency SystemsYaron 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 engineeringObservabilidad y fiabilidadProgramming Languages+2
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Cognitive Revolution "How AI Changes Everything"· 18 oct 2023Pódcast1,000 H100s Take 115 Days; 22,000 Take FivePresenta: 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.Modelos y entrenamientoAI researchModel Interpretability+3
3 diapositivas4:42EN
MBMatthew Berman· 17 oct 2023Connecting 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.AgentesOpen-weight modelsInfraestructura y despliegue
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 sept 2023Pódcast · 2 vocesA Dinner-Plate Chip Cut Training From 60 Days to 3.5Presenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & Startups· 31 ago 2023Pódcast · 2 vocesChatGPT Runs on His Framework. He Still Doesn't Want You Training a ModelPresenta: 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.Infraestructura y despliegueFlujos de desarrollo y pruebasObservabilidad y fiabilidad+3
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Cognitive Revolution "How AI Changes Everything"· 25 jul 2023PódcastAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.Presenta: Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.Infraestructura y despliegueAI cost & performanceDistributed training & inference+3
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Lex Fridman· 29 jun 2023Pódcast · 2 vocesWho owns the off switch? George Hotz on tinygrad, open-source AI, and GodInvitado: George Hotz · Presenta: 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.Código abierto y comunidadInfraestructura y despliegueOpen-source ecosystems+3
3 diapositivas8:17EN
MBMatthew Berman· 22 jun 2023Using OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.Open-weight modelsInferenceInfraestructura y despliegue+1
3:34:03EN
Lex Fridman· 2 jun 2023Pódcast · 2 vocesPython Isn't Finished: Chris Lattner on Mojo and the Hardware MessInvitado: Chris Lattner · Presenta: 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.Infraestructura y despliegueAI platform engineeringSoftware engineering+3
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