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The demand for AI capabilities is outpacing the computational capacity available today. As workloads become more complex, small language models are growing larger, with longer input sequences and rising resource demands. The relentless pursuit of near zero latency is now mission-critical as domain-specific models advance. This challenge inspired us...

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Jack Huynh

27,234 subscribers

11,960 просмотров • 1 год назад •via X (Twitter)

Здоровье и велнесИгрыНаука и технологии
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Фото профиля Chris Mizo 🇹🇼🇺🇲🇮🇹
Chris Mizo 🇹🇼🇺🇲🇮🇹1 год назад

Love to see how Ai will turn out several years from now 🤔

Фото профиля VistaShares ETFs
VistaShares ETFs1 год назад

From semiconductors to data centers, AIS targets the critical components behind AI's exponential growth. Capture potential returns from this transformative technology sector.

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🇦🇲 Armenia launches one of the world’s most advanced AI data centers Armenia has officially joined the ranks of countries with their own artificial intelligence infrastructure. #EleveightAI has announced the launch of the #SouthCaucasus’ first AI Factory in the town of Gagarin, powered by #NVIDIA Blackwell B300 chips — one of the world’s most advanced architectures for generative AI. The project is now valued at up to $120 million for the first phase, significantly above the previously reported $70 million. The facility is designed to scale up to 35 MW of computing capacity and is considered supercomputing-class infrastructure. According to the company, Armenia has the potential to become a new global hub for #AI computing — an alternative location to the United States and Western #Europe. Among the advantages cited are lower energy costs, the availability of technical talent, and the region’s growing international connectivity. Eleveight AI CEO Arman Aleksanyan stated that the goal of the project is to transform Armenia from a consumer of AI into a country where AI is developed, trained, and deployed. The company is also considering future expansion into #CentralAsia'n and European markets. Twenty percent of the center’s computing capacity will be provided free of charge to Armenian universities, research institutions, and non-profit organizations. The project is already being described as part of a broader strategy to turn #Armenia into a regional technology and AI hub. As part of that strategy, another AI data center — developed by FireBird — is expected to launch in #Hrazdan, with planned investments of $500 million in the first phase and $4 billion in the second. NVIDIA Blackwell B300 chips are considered among the most advanced AI processors in the world and are designed for generative AI, supercomputing, and high-performance computing workloads. Access to such technology is subject to #US export-control regulations and is granted under strict licensing and compliance requirements. #IT #technology #MiddleEast #EU

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$NVDA is entering the consumer PC chip market with RTX Spark, an $ARM based CPU/GPU/AI chip for Windows laptops and mini-PCs. The flagship version includes 20 CPU cores, 6,144 GPU cores, and up to 128GB of unified LPDDR5X memory, aimed at local AI agents, creators, developers, and gaming. Nvidia says 30+ laptops and 10+ desktops are already in development with partners including Microsoft, Dell, HP, Asus, Lenovo, MSI, Acer, and Gigabyte.

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Today, we’re excited to announce our $50M Series B, led by Greenfield Partners (formerly TPG Capital), with participation from Lightspeed and Notable Capital. 🚀 At PatronusAI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over now. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since. ⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by Datadog, Inc., Samsung Ventures, Gokul Rajaram, Factorial Capital, and a large cohort of amazing AI leaders and researchers across Anthropic, OpenAI, Google DeepMind, NVIDIA, Recursive, and more. ✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)
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Today, we’re excited to announce our $50M Series B, led by Greenfield Partners (formerly TPG Capital), with participation from Lightspeed and Notable Capital. 🚀 At PatronusAI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over now. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since. ⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by Datadog, Inc., Samsung Ventures, Gokul Rajaram, Factorial Capital, and a large cohort of amazing AI leaders and researchers across Anthropic, OpenAI, Google DeepMind, NVIDIA, Recursive, and more. ✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)

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37,902 просмотров • 14 дней назад