NVIDIA Asserts its AI Dominance with Run:ai Acquisition
Plus: Snowflake enters the generative AI arena with Arctic LLM, Monetizing generative AI to take time, says Zuckerberg
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 261st edition of The AI Edge newsletter. This edition features “NVIDIA Asserts its AI Dominance with Run:ai Acquisition”
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🤖NVIDIA acquires Run:ai, integrates it with DGX Cloud AI Platform
❄️Snowflake enters the generative AI arena with Arctic LLM
⏳Monetizing generative AI to take time, says Zuckerberg
📚 Knowledge Nugget: AI Skepticism is Reasonable (And Recommended) by
Let’s go!
NVIDIA acquires Run:ai, integrates it with DGX Cloud AI Platform
NVIDIA has acquired Run:ai, an Israeli startup that simplifies AI hardware infrastructure management and optimization for developers and operations teams. The acquisition was made for an undisclosed sum, but sources suggest it was around $700 million.
Run:ai’s platform allows AI models to run parallel across various hardware environments, whether on-premises, in public clouds, or at the edge.
Nvidia plans to maintain Run:ai's products with their existing business model and will support Run:ai's product development within Nvidia's DGX Cloud AI platform. This platform offers enterprise users access to computing infrastructure and software for training AI models, including generative AI.
Why does it matter?
NVIDIA is strengthening its offering across the entire AI stack, from hardware to software. and solidifies its status as a comprehensive solution provider for all your AI infra needs. NVIDIA's vertical integration strategy aims to simplify and optimize AI deployments for customers, asserting its dominance in the evolving AI landscape.
Snowflake enters the generative AI arena with Arctic LLM
Snowflake, the cloud computing company, has released Arctic LLM, a generative AI model for enterprise use. It’s optimized for generating database code and is available under an Apache 2.0 license.
Arctic LLM outperforms other models like DBRX and Llama3 in tasks like coding and SQL generation. Snowflake aims to address enterprise challenges with this model, including building SQL co-pilots and high-quality chatbots. This move aligns with the trend of cloud vendors offering specialized generative AI solutions for businesses
Why does it matter?
Approximately 46% of global enterprise AI decision-makers use existing open-source LLMs for generative AI. With the release of Arctic, Snowflake democratizes access to cutting-edge models by offering an Apache 2.0 license for ungated personal, research, and commercial use.
Monetizing generative AI to take time, says Zuckerberg
Meta CEO Mark Zuckerberg stated that it would take several years for Meta to make money from generative AI. The company is already profitable, but building advanced AI capabilities will be lengthy and costly. Monetization strategies include scaling business messaging, introducing ads or paid content, and offering larger AI models for a fee. However, it will take time for these efforts to yield significant profits.
Why does it matter?
Mark Zuckerberg's statement highlights the challenges and time required to monetize generative AI technologies effectively. It underscores the complexity of developing advanced AI capabilities and the need for substantial investments. Furthermore, it emphasizes the importance of long-term planning and patient investment in developing and commercializing AI applications.
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Knowledge Nugget: AI Skepticism is Reasonable (And Recommended)
In this article,
emphasizes a cautious approach to AI developments, urging readers to critically evaluate the hype around new AI models like OpenAI's Sora and technologies such as Devin AI, touted as the "first AI software engineer”.He highlights Amazon's "Just Walk Out" shopping experience, revealing the necessity of human oversight despite AI involvement.
Conclusively, he advocates for a thoughtful and skeptical mindset toward AI advancements, acknowledging their potential while questioning their practical value and limitations.
Why does it matter?
Skepticism toward artificial intelligence is significant because it tempers the exaggerated claims and expectations surrounding AI technologies. As AI evolves, evaluating its performance and critically separating the hype from reality is crucial.
By questioning and scrutinizing AI developments, we can foster a more balanced and informed perspective, leading to better-informed decisions and advancements in the field.
What Else Is Happening❗
🎥 Adobe unveils VideoGigagan: AI project upscaling blurry videos to HD
Adobe’s VideoGigagan AI project enhances low-quality videos by upscaling them to higher resolutions, even when the original footage is blurry. It uses automatic adjustments for brightness, contrast, saturation, and sharpness, benefiting brand perception, engagement, and customer satisfaction. (Link)
📱 OpenELM: Apple's evolving AI strategy for iPhones
Apple has unveiled OpenELM, a collection of compact language models that enable AI functionality on its devices. These models, available in four sizes ranging from 270 million to 3 billion parameters, are specifically designed to excel in text-related tasks like email composition. (Link)
☁️ IBM acquires HashiCorp for $6.4 Billion to boost cloud business
IBM has acquired HashiCorp, Inc., for $6.4 billion, aiming to enhance its hybrid cloud and AI capabilities. The acquisition will integrate HashiCorp's suite of products, including Terraform, to automate hybrid and multi-cloud environments. (Link)
🙂 Synthesia Introduces Emotions to AI Video Avatars
Synthesia, an AI startup specializing in video avatars for business users, has released an update introducing emotions to its avatars. The latest version includes avatars built from actual humans, providing better lip tracking, more expressive natural movements, and improved emotional range when generating videos. (Link)
🤖 HubSpot introduces cutting-edge AI tools for SMBs
HubSpot introduced HubSpot AI at INBOUND 2023, featuring AI assistants for email drafting and content creation, AI agents for customer service, predictive analytics, and ChatSpot powered by OpenAI’s ChatGPT. The revamped Sales Hub offers modernized sales processes tailored for SMBs. (Link)
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