Here is Tula Berkeley. [applause] I never feel more alive than when I'm on stage performing. Whether it be acting, singing, or dancing, the connection with my cast and crew, the magic in the room when the audience comes alive, it's unlike anything in the world, and I'm addicted to it.Whether as a very young child with dog ears dancing to how Much is that doggy in the window or belting at the top of my lungs with my favorite meadows Mustangs and Rock of Ages, there is no show too small and no challenge too g ...

♪ [THUNDER] ♪ The Apple A19 Pro chip is vapor cooled. ♪ Because when you run cool, you can push your limits. [PIANO PLAYING] And juggle over 35 trillion complex tasks a second.[PIANO PLAYING CONTINUES] ♪ ♪ Just imagine if we were that powerful ♪ ♪ Stu. pen. dae ♪ [CRASH] ♪ ♪. ...

RT MINHxDYNASTY (@MINHxDYNASTY)male peak performance:- girlfriend/wife> 1 btc- 6 pack- minimum 1 x bench/1.5x squat- 10+ pull ups, 30” vertical min- has read meditations- averages 7+ hours of sleep- walks 10k steps a day- 24 hour fasts- eats well, 1 gallon of water- loves hyperliquid- nft pfp ...

AI Infrastructure & Market Trends - Modern AI applications are expanding across various sectors like finance, energy, healthcare, and research [3] - The industry is evolving from initial LLM training to Retrieval Augmented Generation (RAG) pipelines and agentic AI [3] - Vulture is positioned as an alternative hyperscaler, offering cloud infrastructure with 50-90% cost savings compared to traditional providers [4] - A new 10-year cycle requires rethinking infrastructure to support global AI model deployment, necessitating AI-native architectures [4] Vulture & DDN Partnership - Vulture and DDN share a vision for radically rethinking the infrastructure landscape to support global AI deployment [4] - The partnership aims to build a data pipeline to bring data to GPU clusters for training, tuning, and deploying models [4] - Vulture provides the compute infrastructure pipeline, while DDN offers the data intelligence platform to move data [4] Scalability & Flexibility - Enterprises need composable infrastructure for cost-efficient AI model delivery at scale, including automated provisioning of GPUs, models, networking, and storage [2] - Elasticity is crucial to scale GPU and storage resources up and down based on demand, avoiding over-provisioning [3] - Vulture's worldwide serverless inference infrastructure scales GPU resources to meet peak demand in different regions, optimizing costs [3] Performance & Customer Experience - Improving customer experience requires lightning-fast and relevant responses, making time to first token and tokens per second critical metrics [4] - Consistency in response times is essential, even with thousands of concurrent users [4] - The fastest response for a customer is the ultimate measure of customer satisfaction [4] Data Intelligence Platform - DDN's Exascaler offers high throughput for training, with up to 16x faster data loading and checkpointing compared to other parallel file systems [5] - DDN's Infinia provides low latency for tokenization, vector search, and RAG lookups, with up to 30% lower latency [5] - The DDN data intelligence platform helps speed up data response times, enabling saturated GPUs to respond quickly [6]