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X @s4mmy
s4mmy· 2025-08-08 16:33
Artificial General Intelligence (AGI) Race - The core equation for achieving intelligence is "Compute + Data = Intelligence" [1] - The report questions what is preventing China from achieving AGI first [1] Key Resources for AGI - China possesses significant electricity generation capacity to power GPUs, which in turn drives compute [1] - The report raises the question of what data sources China is utilizing to train its models [1]
X @Sam Altman
Sam Altman· 2025-08-07 19:25
thank you to our partners at microsoft, nvidia, oracle, google, and coreweave for making this possible!lots and lots of GPUs working overtime. ...
Flipping the Inference Stack — Robert Wachen, Etched
AI Engineer· 2025-08-01 14:30
Flipping the Inference Stack: Why GPUs Bottleneck Real Time AI at Scale Current AI inference systems rely on brute-force scaling—adding more GPUs for each user—creating unsustainable compute demands and spiraling costs. Real-time use cases are bottlenecked by their latency and costs per user. In this talk, AI hardware expert and founder Robert Wachen will break down why the current approach to inference is not scalable, and how rethinking hardware is the only way to unlock real-time AI at scale. ---related ...
X @Cointelegraph
Cointelegraph· 2025-07-21 07:00
⚡️ LATEST: OpenAI CEO Sam Altman says the company will bring over 1 million GPUs online by the end of this year. https://t.co/Vbr34Tw5Vg ...
X @Sam Altman
Sam Altman· 2025-07-20 22:14
GPU Deployment - The company anticipates exceeding 1 million GPUs online by the end of the year [1] Future Goals - The company aims for a 100x increase in GPU deployment [1]
What every AI engineer needs to know about GPUs — Charles Frye, Modal
AI Engineer· 2025-07-20 07:00
[Music] So um what I wanted to talk about today was uh what every AI engineer needs to know about GPUs. the like so far in the last couple of years um most of the things that people have built as AI applications people who are AI engineers they've been building on top of model APIs so they use the open AI API the anthropic API the deepseek API and they build an application on top of that and that goes back to kind of like the initial diagram that Swix put out the like AI like rise of the AI engineer thing u ...
AAI 2025 | Powering AI at Scale: OCI Superclusters with AMD
AMD· 2025-07-15 16:01
Hello, everyone. My name is Kiran Edara. I lead the compute and AI infra product at OCI. And welcome to powering AI at scale and OCI.How OCI superclusters power AMD processors session. So today I'm going to, Structure this into four segments. First I'm going to talk about how AI workloads are different and why do they need different types of networks.And the second part would be around what did how did OCI solve it. And then I'm going to share a few performance benchmarks. And then provide a glimpse into th ...
RAISE 2025: AI Factories, Sovereign Intelligence & the Race to a Million GPUs
DDN· 2025-07-15 15:58
AI Infrastructure & Sovereign Intelligence - DDN's President discusses the rapid rise of AI infrastructure and sovereign intelligence [1] - Sovereign AI is becoming mission-critical [1] - France and the global tech ecosystem are racing toward a future powered by a million GPUs [1] - Data intelligence is the true currency of innovation [1] DDN's Capabilities & Performance - DDN powers NVIDIA's most advanced AI systems [1] - DDN's Infinia demonstrates game-changing performance vs AWS in RAG workloads [1] AI Applications & Impact - AI has real-world impact across finance, healthcare, defense, and energy [1] - Building an AI factory is worth billions [1] Future Vision - A vision for the future where humans and machines shape intelligence together [1]
X @Avi Chawla
Avi Chawla· 2025-07-11 19:14
RT Avi Chawla (@_avichawla)How to sync GPUs in multi-GPU training, clearly explained (with visuals): ...
X @Avi Chawla
Avi Chawla· 2025-07-11 06:31
General Information - The content is a wrap-up and call to action to reshare the information [1] - The author shares tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval Augmented Generation (RAGs) daily [1] Technical Focus - The author provides a clear explanation (with visuals) on how to sync GPUs in multi-GPU training [1]