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Nscale has formed a multi-year strategic partnership with Figure to support physical AI development by deploying up to 100,000 NVIDIA GPUs, with the first rollout planned for the second half of 2027 at Nscale’s UK site.
Nvidia highlighted Hugging Face as a major AI platform, noting that it hosts over 3 million models and serves more than 18 million developers, underscoring its scale and importance in the machine learning ecosystem.
iPronics raised $125 million in Series B funding, led by Maverick Silicon and Light Street Capital with NVIDIA participating, to expand its silicon photonics-based programmable optical networking technology for AI data centres.
The new Real World AI stage will explore how digital and physical worlds are increasingly converging, highlighting the many ways this blending will shape future experiences and applications.
The content previews a Network Break episode covering listener follow-up on Device Bound Session Credentials, critical IBM AIX vulnerabilities, and major AI and infrastructure news involving Nvidia, AWS, and Cisco.
Nvidia’s $3.5 billion investment in MediaTek signals a strategic move to strengthen its role in AI infrastructure and maintain relevance as major tech companies increasingly develop their own custom AI chips.
New data center systems are improving efficiency by using smarter traffic control to optimize performance, rather than relying solely on adding more processor cycles.
Neocloud Lambda secured $1 billion in private debt to purchase Nvidia AI chips and lease them to Microsoft, highlighting how the AI boom is being fueled by increasingly expensive, debt-financed infrastructure deals.
The discussion centers on Nvidia’s reported acquisitions of Hugging Face and Poolside as a strategic move to anchor itself in the open AI ecosystem, support many-model development, and shape the future of model infrastructure while raising concerns about vendor influence and hardware-driven incentives.
Nvidia has reportedly agreed to acquire Hugging Face for $12.9 billion, a deal that would strengthen its control over the AI ecosystem while helping it reenter cloud services and protect its chip dominance.
Amazon plans to add 2 million more Nvidia GPU chips to its data centers over the next two years, signaling a deeper partnership that goes beyond simply purchasing hardware.
An Nvidia worker was indicted in a case that followed Jensen Huang’s criticism of Supermicro over alleged AI server smuggling, highlighting growing scrutiny around the movement of high-value AI hardware and potential compliance violations.
Nvidia is heavily investing in data center development, which is proving lucrative due to the increasing demand for AI data centers.
Nvidia's research demonstrates that AI agents can achieve strong performance and maintain stability through fine-tuning, even when the initial AI model is not highly proficient in the task.
Ila Saskcover's Safe Super Intelligence plans to launch a groundbreaking AI model focused on safe superintelligence, with significant backing from Nvidia, while Entropia Universe explores AI agents in virtual worlds.
William Collins and Eyvonne Sharp discuss AI news, including a major copyright settlement, stolen AI models, invisible watermarks, and NVIDIA's support for open weight AI models.
Groq secured $350 million in funding, reaching a $3.5 billion valuation, as it transitions from AI chipmaking to a neocloud business, enhancing its Nvidia-powered data center capabilities.
Nvidia's strategic investment in SoftBank's data center developer ensures its chips will be used in powering an OpenAI data center.
Elon Musk has announced an exclusive arrangement to equip data centers, leading to a formal filing related to this initiative.
The podcast episode discusses the shift from esoteric AI to industrial-scale computing, highlighting IBM's partnership with Together AI and Nvidia to launch the B 300 generation of chips, emphasizing the need for specialized infrastructure and the rise of neo clouds in AI development.
Nvidia aims to maintain the value of its GPUs by encouraging financiers to continue investing in AI infrastructure development.
Cisco has identified critical vulnerabilities in its Catalyst SD-WAN platform, prompting a necessary software upgrade, while NVIDIA collaborates with major tech companies to establish the Open Secure AI Alliance.
Packet Protector discusses attackers exploiting hotel captive portals for credential theft, OpenAI's conflict with Hugging Face, and efforts to prevent US restrictions on open weight AI models, alongside Nvidia and Linux Foundation's AI initiatives.
A major controversy has erupted in the artificial intelligence industry as leading companies unite to support open weight AI models, while Anthropic stands alone in opposition, facing criticism for allegedly protecting its closed business model.
Ilya Sutskever's Safe Superintelligence Inc. has partnered with Nvidia, receiving a $5 billion investment to scale AI research, marking a shift from scaling to research with big computers, as Sutskever's past work and predictions influence the future of AI development.
AMD is set to compete with its chipmaker rival by launching a new rack-scale system, expected to ship to customers later this year.
Recent advancements in open-source AI have enabled real-time 3D human animation, mobile video generation, precise facial control, and music decomposition, while OpenAI introduces a model designed to challenge other AIs.
OpenAI is developing a custom inference chip, Jalapeño, with Broadcom to reduce reliance on Nvidia, joining other companies like Google and Apple in diversifying AI chip suppliers.
OpenAI has developed its own AI-specific chip, Jalapeno, in partnership with Broadcom to enhance inference efficiency and reduce dependency on Nvidia, promising faster and cheaper AI operations.
This week saw groundbreaking AI advancements with Anthropic's Opus 4.8, Nvidia's open-source tools, and innovative models for 3D creation, image editing, and scientific research automation.
Nvidia plans to invest $150 billion annually to establish Taiwan as a central hub for artificial intelligence development and innovation.
The conversation between Masum Mir and Ryuji explores the integration of AI and telecom, emphasizing the transformation of telecom operators into AI service providers through mobile edge computing, enhanced connectivity, and collaboration with NVIDIA to create an AI Grid.
LiquidStack has enhanced its GigaModular CDU platform to support up to 14MW, optimizing liquid cooling for AI and high-density data centers.
Ryan discusses with MinIO co-founders Garima Kapoor and Anand Babu Periasamy about overcoming storage bottlenecks, their collaboration with NVIDIA on STX architecture, and the trend towards S3-compatible object storage in AI infrastructure.
Nvidia's CEO Jensen Huang forecasts a significant venture into AI agent CPUs, estimating a $200 billion market opportunity.
Nvidia's CEO believes that concerns about AI's potential to eliminate jobs are significantly overstated.
The Department of Defense is expanding its AI vendor partnerships following a contentious disagreement with Anthropic regarding AI model usage terms.
GDDRHammer and GeForge are techniques that exploit GPU memory vulnerabilities, potentially affecting CPU performance and system stability.
Despite recent claims by industry leaders like Nvidia's Jensen Huang and OpenAI's Sam Altman suggesting the achievement of AGI, the current AI capabilities are more financially defined rather than cognitively, focusing on economic impact rather than human-like reasoning.
This week's Network Break highlights critical D-Link vulnerabilities, CISA's warning to secure endpoint management systems after a cyberattack, and Cisco's integration of an NVIDIA ASIC into its N9100 series.
ZutaCore has introduced its OmniTherm cold plate, enabling waterless, two-phase cooling for NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs in single-slot PCIe form factors, supporting full-power operation in enterprise and AI cloud servers.
This week in AI saw groundbreaking advancements, including Nvidia's major conference, Google's powerful video upscaler, Miniax's self-evolving model, and new AI tools for 3D modeling and virtual classrooms.
The latest episode of Mixture of Experts discusses advancements in AI, including Kung Fu robots with LLMs, Nvidia's trillion-dollar projections, and the evolution of agentic AI, highlighting its growing complexity and impact on computing demands.
Nvidia's DLSS5 technology, showcased at GT6 2026, uses AI to transform video game graphics into photorealistic scenes, sparking controversy over its high cost and potential as a mere visual enhancement tool.
Schneider Electric and NVIDIA, in collaboration with AVEVA, are advancing AI data center design through validated designs and digital tools, as announced at NVIDIA GTC in San Jose.
Nvidia's Jensen Huang introduced Nemo Claw, a platform allowing enterprises to deploy AI agents with built-in security, privacy, and hardware agnosticism, building on the success of the open-source Open Claw project, which revolutionized AI by enabling tasks automation and integration with large language models.
Recent advancements in AI include Open AI's sub agents for Codecs, Miniax's M2.7 model, Mistrol's new open-source model, and Nvidia's GTC conference announcements, all indicating significant progress in AI tools and capabilities.
The podcast discusses listener feedback on Cisco SD-WAN vulnerabilities, Nvidia's investment in open-source AI, critical Veeam and Chrome vulnerabilities, and new Fortinet FortiOS features.
This week saw significant advancements in AI technology, including Google's enhanced video separation in Maps, a new anime image model, Nvidia's agentic model, real-time 3D world generation on CPUs and phones, advanced voice cloning, and the impressive Matt Anyone 2 tool for cleanly separating people from video backgrounds.
The Free Code Camp podcast features an interview with Luke Sisiano, a self-taught programmer and prolific contributor, discussing his journey and offering insights on building a software consultancy, alongside announcements of new Free Code Camp courses on AI infrastructure, full stack JavaScript, and MLOps.
