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Today’s trending AI news stories
Nvidia to open-source Run:ai, the software it acquired for $700M to assist firms manage GPUs for AI
Nvidia has sealed a $700 million deal to amass Run:ai, a platform designed to streamline GPU orchestration for AI workloads. As a part of its strategy, Nvidia will open-source Run:ai’s technology, expanding its reach beyond Nvidia GPUs to the broader AI landscape. The move signals Nvidia’s continued dominance within the AI space, albeit with a careful nod to regulatory concerns—open-sourcing the platform likely helps sidestep antitrust scrutiny while further cementing Nvidia’s foothold.
Run:ai, which has been a trusted Nvidia partner since 2020, guarantees increased flexibility and efficiency for AI teams managing complex infrastructure, each on-prem and within the cloud. Read more.
IBM will release the most important ever quantum computer in 2025y
Pictured: a photograph of the utility-scale IBM Quantum System One. (Credit: IBM)
IBM is poised to redefine quantum computing with its ambition to develop the most important quantum computer by 2025. The corporate plans to attain this by integrating multiple quantum processors right into a unified modular system, circumventing the constraints of single-chip architectures. Currently, IBM’s Condor chip boasts 1121 qubits, but the corporate is preparing to surpass this milestone with its upcoming Flamingo chip.
The modular approach addresses the critical challenge of scaling qubits while maintaining efficient interconnections between chips and their respective wiring. Looking ahead, IBM envisions a network of Kookaburra chips that would reshape each business and academic landscapes. The important thing to this leap lies within the refinement of specialised couplers, essential components that enable seamless communication between qubits and chips over various distances, ultimately paving the best way for fully modular, scalable quantum systems. Read more.
Hugging Face Simplifies AI Agent Development with SmolAgents
Hugging Face has streamlined AI agent creation with SmolAgents, a toolkit that lets developers deploy intelligent agents in only three lines of code. By tapping into Hugging Face’s pre-trained models and advanced NLP capabilities, SmolAgents transforms what was once a frightening, complex process into an easy, modular framework.
It supports every part from rapid prototyping to full-scale production, enabling seamless integration with Hugging Face’s ecosystem for tasks like data retrieval, summarization, and on-the-fly code execution. This toolkit’s lightweight design makes it an excellent alternative for developers with limited resources, while its efficiency keeps the concentrate on solving real-world problems, not wrestling with technical overhead. Read more.
For months, we have worked on constructing @huggingface‘s latest moonshot: agentic systems.
So today we’re very proud to announce the discharge of 𝚜𝚖𝚘𝚕𝚊𝚐𝚎𝚗𝚝𝚜!
It’s the only library we could make to let people construct powerful agents.
💥 The principal logic for agents suits in ~1000… x.com/i/web/status/1…
— Aymeric (m-ric) (@AymericRoucher)
3:32 PM • Dec 31, 2024
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