# partnerships Published articles for partnerships. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Xbox to publish Kojima Productions' Physint after PlayStation ends partnership DevFeed: [Xbox to publish Kojima Productions' Physint after PlayStation ends partnership]() Original publisher: [Read original article]() Author: Diego Argüello Published: 2026-09-10T19:35:18Z Content type: news Language: en Sources: [gamedeveloper]() Topics: [Xbox](), [Publishing]() Tags: [company](), [news](), [partner](), [partnership](), [partnerships](), [xbox]() ### AI overview PlayStation Studios ended its publishing partnership with Kojima Productions on Physint, and Xbox will take over publishing the game. The companies also plan collaborations across film and television. ### Source excerpt Xbox is committing to the project during a significant period of change for the company that has so far included mass layoffs and after numerous canceled publishing partnerships. ## Call for volunteers: Fundraising Working Group DevFeed: [Call for volunteers: Fundraising Working Group]() Original publisher: [Read original article]() Author: Priya Pahwa Published: 2026-09-08T19:27:14Z Content type: article Language: en Sources: [The Django weblog]() Topics: [Django]() Tags: [building](), [business](), [community](), [development](), [django](), [ecosystem](), [events](), [executive](), [framework](), [infrastructure](), [leadership](), [open-source](), [partnerships](), [python](), [sales](), [support]() ### AI overview The Django Software Foundation is recruiting volunteers for a Fundraising Working Group as it pursues a 2026 fundraising goal of $500,000 and prepares to hire its first Executive Director. The group will help develop sponsorships, partnerships, donor relationships, and new fundraising initiatives for the Django project. ### Source excerpt The Django Software Foundation is looking for people to join the Fundraising Working Group. This is a particularly interesting time to get involved. The DSF has raised its 2026 fundraising goal to $500,000. That funding is what allows us to continue supporting the Django Fellows, Django Girls, community events, Djangonaut Space, infrastructure, and the many other things that keep the Django ecosystem going. It also gives the DSF the room to do something new: hire its first Executive Director. You can read more about the DSF's fundraising goals for 2026 in this post. Getting there will take more than asking people to donate. We need to think about how we build relationships with companies that depend on Django, how we make sponsorships meaningful, how we find new ways for organisations to support the project, and how we communicate the value of investing in Django. That is where the Fundraising Working Group comes in. The DSF is hiring an Executive Director who will bring dedicated, day-to-day leadership to the Foundation, including sponsorship development and partner relationships. The Fundraising Working Group will have an opportunity to work closely with the person in this role as we build out our fundraising efforts. Who are we looking for? We'd love to have people who have done this before. If you have experience with fundraising, sponsorships, partnerships, business development, sales, donor relationships, or building relationships with companies, there is plenty of scope to put that experience to work. We need people who can help identify opportunities, open doors, develop ideas, and turn them into actual fundraising initiatives. But you don't need to be a fundraising expert to join. Maybe you've never worked on fundraising before, but you know how companies make decisions about supporting open source. Maybe you have ideas for how Django could engage organisations that rely on it. Maybe you are good at building relationships, telling a compelling story, organi ## OpenAI expands initiatives to support journalism from classrooms to newsrooms DevFeed: [OpenAI expands initiatives to support journalism from classrooms to newsrooms]() Original publisher: [Read original article]() Published: 2026-09-08T00:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [AI Chat]() Tags: [ai](), [chatgpt](), [company](), [generative-ai](), [media](), [news](), [openai](), [partnerships](), [support](), [tools](), [training]() ### AI overview OpenAI is expanding journalism support through training, partnerships, and ChatGPT Edu access for students and faculty at CUNY's Newmark J-School and Northwestern's Medill School. ### Source excerpt OpenAI is expanding support for journalism with tools, training, and partnerships for students, educators, journalists, and news organizations. ## Baseten on Hugging Face Inference Providers 🔥 DevFeed: [Baseten on Hugging Face Inference Providers 🔥]() Original publisher: [Read original article]() Author: Alex Ker; Roland Crosby; Sid Shanker; Johan; Célina Hanouti; Simon Brandeis; Lucain Pouget; merve Published: 2026-08-06T00:00:00Z Content type: news Language: en Sources: [Hugging Face - Blog]() Topics: [AI Chat](), [SDKs]() Tags: [baseten](), [deepseek](), [enterprise](), [hub](), [hugging-face](), [inference](), [inference-providers](), [llms](), [partnerships](), [sdks](), [text-generation]() ### AI overview Baseten is now an Inference Provider on the Hugging Face Hub, offering conversational and text-generation access to supported open-weight LLMs. The integration is available through Hugging Face Python and JavaScript SDKs, with custom-key and Hugging Face-routed request modes. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Partnerships can keep open source sustainable DevFeed: [Partnerships can keep open source sustainable]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-07-24T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Open Source](), [Cloudflare](), [JavaScript](), [Developer experience](), [distributed-systems]() Tags: [acquisition](), [cloudflare](), [dev-tools](), [developer-experience](), [developer-tools](), [distributed-systems](), [javascript](), [leaders-of-code](), [open-source](), [partnerships](), [podcast](), [se-stackoverflow](), [se-tech](), [typescript]() ### AI overview Ryan welcomes VoidZero's Evan You and Cloudflare's Dane Knecht to discuss Cloudflare's acquisition of VoidZero, the implications for JavaScript development, and how partnerships can help open-source projects remain maintained and sustainably monetized. ### Source excerpt Ryan welcomes VoidZero's Evan You and Cloudflare's Dane Knecht back to the show to discuss Cloudflare's recent acquisition of VoidZero and what it means for JavaScript development, how partnerships like theirs can help open-source projects stay maintained and sustainably monetized, and how Cloudflare's distributed systems are helping to improve developer experience in Vite and beyond. ## Our approach to government and national security partnerships DevFeed: [Our approach to government and national security partnerships]() Original publisher: [Read original article]() Published: 2026-07-08T13:30:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Responsibility & Safety]() Tags: [ai](), [critical-infrastructure](), [evaluation](), [frontier-ai](), [global-affairs](), [government](), [gpt](), [openai](), [partnerships](), [policy](), [responsible-ai](), [safety](), [security]() ### AI overview OpenAI outlines principles for government and national-security partnerships using frontier AI, emphasizing responsible use, democratic accountability, human judgment, and the rule of law. ### Source excerpt Learn how OpenAI approaches government and national security partnerships, with principles for responsible AI use, democratic accountability, and public safety. ## Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot DevFeed: [Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot]() Original publisher: [Read original article]() Author: Nikhil Jha; Zhanghao Wu; Hope Wang; Adrien Carreira; Julien Chaumond Published: 2026-07-07T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Artificial Intelligence](), [hugging face](), [Cloud](), [datasets](), [GPU](), [Inference](), [model-deployment](), [Containers](), [Open Source]() Tags: [ai](), [artificial-intelligence](), [cloud](), [containers](), [datasets](), [gpu](), [guide](), [hugging-face](), [inference](), [kubernetes](), [open-source](), [open-source-collab](), [partnerships](), [s3](), [skypilot](), [storage]() ### AI overview Hugging Face Storage integrates with SkyPilot so models, datasets, and Spaces can be mounted into jobs running on GPUs across clouds, Kubernetes, Slurm, and on-premises infrastructure. The integration offers zero-egress reads, Xet-backed deduplication, filesystem-level fetching, and local caching across the AI workload lifecycle. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Hugging Face and Cerebras bring Gemma 4 to real-time voice AI DevFeed: [Hugging Face and Cerebras bring Gemma 4 to real-time voice AI]() Original publisher: [Read original article]() Author: Amir Mahla; Andres Marafioti; Leandro von Werra; Saurabh Vyas Published: 2026-07-01T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [voice ai](), [gemma4](), [hugging face](), [Artificial Intelligence](), [Open Source](), [real-time](), [Low Latency](), [Inference](), [Conversational AI](), [Language models](), [systems]() Tags: [ai](), [audio](), [gemma](), [hugging-face](), [inference](), [inference-providers](), [latency](), [low-latency](), [model](), [models](), [multimodal](), [open-source](), [open-source-collab](), [partnerships](), [performance](), [real-time](), [systems](), [text-to-speech](), [voice](), [voice-ai]() ### AI overview Hugging Face and Cerebras present a real-time speech-to-speech pipeline that combines Cerebras inference, Google DeepMind's Gemma 4 31B language model, and Qwen text-to-speech. The modular, open architecture is designed for low latency, predictable performance, and adaptable voice experiences across assistants, robots, products, and research projects. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World DevFeed: [Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World]() Original publisher: [Read original article]() Author: Daniel Gert Nielsen; Shivam Saini; Alessia Milo; Georg Götz; Eric Bezzam Published: 2026-06-24T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [asr](), [benchmarking](), [Benchmark](), [Open Source]() Tags: [announcement](), [asr](), [audio](), [benchmarking](), [community](), [deployment](), [development](), [evaluation](), [leaderboard](), [open](), [open-source](), [partnerships](), [performance](), [speech]() ### AI overview Treble Technologies and Hugging Face introduce the open, community-driven FFASR Leaderboard, a benchmark for evaluating automatic speech recognition models in realistic far-field acoustic conditions. It measures performance across factors such as reverberation, background noise, microphone distance, and low signal-to-noise ratios, while also showing the tradeoff between recognition accuracy and speed. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Strengthening Singapore's AI Future: A New National Partnership DevFeed: [Strengthening Singapore's AI Future: A New National Partnership]() Original publisher: [Read original article]() Author: Google DeepMind Published: 2026-05-16T09:13:34Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Frontier AI](), [Google](), [AI Strategy](), [Artificial Intelligence](), [AI research agents]() Tags: [agents](), [ai](), [ai-agents](), [business](), [education](), [frontier-ai](), [google](), [government](), [growth](), [health](), [healthcare](), [innovation](), [partnership](), [partnerships](), [research](), [responsibility-safety](), [science](), [strategy]() ### AI overview Google DeepMind and Singapore are launching national partnership programmes applying frontier AI to healthcare, life sciences, education, scientific research, and workforce development. The initiative aims to support responsible AI deployment, public-sector transformation, and economic growth. ### Source excerpt Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more. ## Adding Benchmaxxer Repellant to the Open ASR Leaderboard DevFeed: [Adding Benchmaxxer Repellant to the Open ASR Leaderboard]() Original publisher: [Read original article]() Author: Eric Bezzam; Steven Zheng; Eustache Le Bihan; Sergio Bruccoleri; Jeanine Sinanan-Singh; Casey Ford; Guanbo Wang; Yukai Huang; Ke Li; Yufeng Hao Published: 2026-05-06T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [asr](), [Benchmark](), [benchmarking](), [Open Source](), [Whisper]() Tags: [asr](), [audio](), [benchmark](), [benchmarking](), [datasets](), [evaluation](), [leaderboard](), [open-source](), [partnerships](), [speech](), [transcripts](), [whisper]() ### AI overview The article announces private English ASR datasets from Appen and DataoceanAI for the Open ASR Leaderboard. Keeping the datasets private is intended to reduce benchmark-specific optimization and test-set contamination while preserving a high-quality evaluation of multiple speech-recognition tasks. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Catalyzing scientific impact through global partnerships and open resources DevFeed: [Catalyzing scientific impact through global partnerships and open resources]() Original publisher: [Read original article]() Published: 2026-05-01T16:37:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Open Source](), [datasets](), [Google](), [Transformer architecture]() Tags: [apis](), [architecture](), [australia](), [collaboration](), [community](), [data-mining-modeling](), [developers](), [general-science](), [global](), [google](), [health-bioscience](), [india](), [japan](), [open](), [open-source](), [open-source-models-datasets](), [partnerships](), [publications](), [research](), [science](), [software](), [technology](), [transformer-architecture]() ### AI overview Google Research describes an open-science approach centered on responsible research, open-source software, open-access datasets, and partnerships with scientific organizations and consortia worldwide. It highlights shared technologies and datasets, including Transformer architecture and specialized models used across fields such as medicine, genomics, neuroscience, climate, and energy. ### Source excerpt Data Mining & Modeling ## DeepInfra on Hugging Face Inference Providers 🔥 DevFeed: [DeepInfra on Hugging Face Inference Providers 🔥]() Original publisher: [Read original article]() Author: Aray Sultanbekova; Shang-Pin; Utemuratov; Yessen K; Oguz Vuruskaner; Célina Hanouti; Simon Brandeis; Lucain Pouget Published: 2026-04-29T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [deepinfra](), [hugging face](), [inference-providers](), [AI Inference](), [SDKs](), [Large Language Model](), [API keys](), [text-generation](), [text-to-image]() Tags: [ai-inference](), [api](), [api-keys](), [applications](), [artificial-intelligence](), [code](), [deepinfra](), [enterprise](), [hub](), [hugging-face](), [inference](), [inference-providers](), [javascript](), [llms](), [open](), [open-source](), [partnerships](), [pricing](), [python](), [sdks](), [text-generation](), [text-to-image]() ### AI overview DeepInfra is now a supported Inference Provider on the Hugging Face Hub, with serverless access to more than 100 models and integration with Hugging Face's JavaScript and Python SDKs. The article describes provider selection, API-key and routed-by-Hugging-Face modes, supported model tasks, and initial access to conversational and text-generation models. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Partnering with industry leaders to accelerate AI transformation DevFeed: [Partnering with industry leaders to accelerate AI transformation]() Original publisher: [Read original article]() Author: David Thacker Published: 2026-04-21T14:54:15Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Artificial Intelligence](), [Frontier AI](), [AI Strategy](), [AI Development](), [Google](), [Cloud]() Tags: [agentic-ai](), [ai](), [cloud](), [data](), [enterprise](), [finance](), [frontier-ai](), [global](), [google](), [industry](), [leadership](), [management](), [manufacturing](), [media-and-entertainment](), [models](), [partnerships](), [real-time](), [responsibility-safety](), [retail](), [scale](), [solutions]() ### AI overview Google DeepMind describes partnerships with Accenture, Bain & Company, BCG, Deloitte, and McKinsey to help organizations adopt frontier AI at scale. The initiative focuses on industry-specific AI capabilities, early access to frontier models including Gemini, and leadership support for enterprise transformation across sectors such as finance, manufacturing, retail, and media and entertainment. ### Source excerpt Google DeepMind partners with global consultancies to bring the power of frontier AI to organizations around the world. ## Safetensors is Joining the PyTorch Foundation DevFeed: [Safetensors is Joining the PyTorch Foundation]() Original publisher: [Read original article]() Author: Luc Georges; Lysandre Published: 2026-04-08T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [PyTorch](), [Open Source](), [Open Source Models & Datasets](), [hugging face](), [Maintainers](), [Malware](), [JSON]() Tags: [community](), [contributors](), [data](), [hugging-face](), [json](), [maintainers](), [models](), [open-source](), [open-source-collab](), [partnerships](), [pytorch](), [safety]() ### AI overview Safetensors is joining the PyTorch Foundation, bringing its vendor-neutral governance under the Linux Foundation while preserving the existing format, APIs, Hub integration, and model compatibility. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## How to Set Up Affiliate Payouts for Your Digital Product DevFeed: [How to Set Up Affiliate Payouts for Your Digital Product]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-03-31T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [Software as a service](), [dashboards](), [Shared Responsibility Model]() Tags: [automated](), [customer](), [digital-products](), [how-to](), [partnerships](), [payment](), [payments](), [reporting](), [revenue](), [saas](), [tax]() ### AI overview This guide explains how to create an automated affiliate program for digital products. It covers referral tracking, transparent reporting, commission management, and reliable payouts, including considerations for global payments and local tax compliance. Dodo Payments is presented as a way to simplify the process. ### Source excerpt Scale your digital product sales with an automated affiliate program. Learn how to track referrals and manage payouts using Dodo Payments. ## DigitalOcean India: Inside Our Growing Hub for AI and Cloud Innovation DevFeed: [DigitalOcean India: Inside Our Growing Hub for AI and Cloud Innovation]() Original publisher: [Read original article]() Author: Sujatha R Published: 2026-03-24T02:40:04Z Content type: article Language: en Sources: [DigitalOcean]() Topics: [Cloud](), [Digital Ocean](), [Artificial Intelligence](), [AI Inference](), [Inference](), [data centers](), [GPU]() Tags: [ai](), [ai-inference](), [amd](), [cloud](), [culture](), [data-centers](), [digitalocean](), [gpu](), [india](), [inference](), [nvidia](), [partnerships](), [workflows]() ### AI overview DigitalOcean describes the growth of its India team after expanding into Hyderabad, including doubled regional staffing and more than 370 employees. The article also outlines the team's role in building DigitalOcean's Agentic Inference Cloud and related products such as GPU Droplets and Gradient AI. ### Source excerpt At DigitalOcean, our philosophy, 'We ship in hours and days, not months or quarters,' delivers real results for our customers. This is the exact velocity that has defined DigitalOcean's India region over the past year. Since expanding into the Hyderabad market exactly twelve months ago, the broader India team has rapidly evolved into a core engine for our global business, shipping high-impact products at record speed. Time flies when you are having fun! As we celebrate this anniversary, we recognize a year of unparalleled execution and look forward to the region's next massive milestone: building DigitalOcean's Agentic Inference Cloud. A history of high-velocity growth DigitalOcean recently achieved record growth as a $1B global inference cloud company, supporting over 640K customers in 190 countries across 18 globally distributed data centers, including one in Bangalore. Over time, we have supported larger, more complex AI and Digital-Native workloads for companies like Character.ai and Workato, and have established partnerships with AMD and NVIDIA. Our team in India has grown alongside the company, becoming a critical hub for product-led innovation. In the last year alone, we have doubled in size with over 370 employees in-region as we develop the next generation of AI inference and position the company for accelerated growth. "DigitalOcean is entering a new phase of accelerated growth driven by AI. AI inferencing and agentic workflows will power the next generation of applications, and our India teams are strategic to our product and technology innovation, helping build these AI native capabilities across the platform," says Venkatraghav Parthasarathy, Vice President, India General Manager. Building the AI inference cloud DigitalOcean has brought together talent from across India - from Engineers to Technology Evangelists, Product Managers, and UI experts - to build DigitalOcean's Agentic Inference cloud. This includes products like GPU Droplets, Gradient AI, and ## Introducing OpenAI for India DevFeed: [Introducing OpenAI for India]() Original publisher: [Read original article]() Published: 2026-02-18T21:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [Artificial Intelligence](), [datacenter](), [ChatGPT](), [AI-Ready Data](), [codex](), [Security](), [stargate](), [Latency]() Tags: [ai](), [ai-ready-data](), [chatgpt](), [codex](), [data-center](), [education](), [enterprise](), [global-affairs](), [government](), [india](), [infrastructure](), [latency](), [openai](), [partnerships](), [security](), [software-development](), [stargate]() ### AI overview OpenAI is launching OpenAI for India, a nationwide initiative with Indian partners to expand AI access, develop local AI-ready data center capacity, support enterprise adoption, and advance workforce skills. The initiative includes a partnership with Tata Group, ChatGPT Enterprise and Codex deployments, certifications, and education programs. ### Source excerpt OpenAI for India expands AI access across the country--building local infrastructure, powering enterprises, and advancing workforce skills. ## Accelerating discovery in India through AI-powered science and education DevFeed: [Accelerating discovery in India through AI-powered science and education]() Original publisher: [Read original article]() Author: Demis Hassabis; Lila Ibrahim; Pushmeet Kohli Published: 2026-02-17T13:42:20Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Artificial Intelligence](), [AI Models](), [Google](), [Frontier AI](), [Earth AI]() Tags: [accelerate](), [ai](), [collaboration](), [community](), [contests](), [earth-ai](), [frontier-ai](), [global](), [google](), [india](), [partnerships](), [research](), [responsibility-safety](), [science](), [training]() ### AI overview Google DeepMind is establishing a National Partnership for AI with Indian government bodies and local institutions to expand access to frontier AI capabilities for science and education. The collaboration with India's Anusandhan National Research Foundation includes access to AI models and tools, hackathons, community contests, training, and mentorship for students, researchers, and early-career professionals. ### Source excerpt Google DeepMind brings National Partnerships for AI initiative to India, scaling AI for science and education ## EMEA Youth & Wellbeing Grant DevFeed: [EMEA Youth & Wellbeing Grant]() Original publisher: [Read original article]() Published: 2026-01-28T01:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [responsible-ai](), [Responsibility & Safety]() Tags: [ai](), [awards](), [global-affairs](), [partnerships](), [policy](), [research](), [responsible-ai](), [safety](), [support]() ### AI overview The EMEA Youth & Wellbeing Grant is a EUR 500,000 funding program supporting NGOs and research organizations working on young people's safety, wellbeing, development and AI literacy. The April 2026 update says applications are closed and finalists have been selected. ### Source excerpt Apply for the EMEA Youth & Wellbeing Grant, a EUR 500,000 program funding NGOs and researchers advancing youth safety and wellbeing in the age of AI. ## The next chapter for AI in the EU DevFeed: [The next chapter for AI in the EU]() Original publisher: [Read original article]() Published: 2026-01-28T01:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [AI Strategy](), [OpenAI](), [ChatGPT](), [data](), [Frontier AI]() Tags: [ai](), [ai-adoption](), [chatgpt](), [eu](), [europe](), [global-affairs](), [growth](), [openai](), [partnerships](), [safety](), [strategy](), [train]() ### AI overview OpenAI's EU Economic Blueprint 2.0 presents new data and initiatives to accelerate AI adoption across Europe. The plans include training 20,000 SMEs, funding research on youth safety and wellbeing, and expanding government partnerships, alongside recommendations for national education frameworks, portable skills accreditation, and adoption measurement. ### Source excerpt OpenAI launches the EU Economic Blueprint 2.0 with new data, partnerships, and initiatives to accelerate AI adoption, skills, and growth across Europe. ## How countries can end the capability overhang DevFeed: [How countries can end the capability overhang]() Original publisher: [Read original article]() Published: 2026-01-21T01:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [AI Strategy](), [ChatGPT](), [OpenAI](), [codex](), [Data analysis]() Tags: [accelerate](), [agentic](), [ai](), [ai-adoption](), [chatgpt](), [codex](), [data](), [education](), [global-affairs](), [health](), [india](), [innovation](), [openai](), [pakistan](), [partnerships](), [productivity]() ### AI overview OpenAI reports a substantial capability overhang in AI use across countries. Power users and some nations apply advanced, multi-step AI capabilities far more often than typical users, producing productivity and innovation gains. The article describes OpenAI for Countries as an effort to support deeper adoption in education, workplaces, and public services through locally tailored partnerships. ### Source excerpt Our latest report reveals stark differences in advanced AI adoption across countries and outlines new initiatives to help nations capture productivity gains from AI. ## NVIDIA brings agents to life with DGX Spark and Reachy Mini DevFeed: [NVIDIA brings agents to life with DGX Spark and Reachy Mini]() Original publisher: [Read original article]() Author: Jeff Boudier; Nader Khalil; Alec Fong Published: 2026-01-05T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [DGX Spark](), [Nvidia](), [reachy](), [Artificial Intelligence](), [Nemotron](), [Deployment](), [inference-endpoints](), [Orchestration](), [Python](), [Open Source](), [Cloud](), [Serverless]() Tags: [agents](), [ai-agent](), [artificial-intelligence](), [code](), [deployment](), [dgx-spark](), [hardware](), [inference-endpoints](), [nvidia](), [open-source](), [orchestration](), [partnerships](), [python](), [reachy](), [robotics](), [serverless]() ### AI overview A step-by-step guide to building a desk-based AI companion with NVIDIA DGX Spark and Reachy Mini. It combines open reasoning and vision models, text-to-speech, Python, agent orchestration, and tool handlers, with options for local, cloud, and serverless deployment. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Building for an Open Future - our new partnership with Google Cloud DevFeed: [Building for an Open Future - our new partnership with Google Cloud]() Original publisher: [Read original article]() Author: Jeff Boudier; Simon Pagezy Published: 2025-11-13T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [Cloud](), [Open Source](), [Cloud Run](), [inference-endpoints](), [Low-Latency Inference](), [Cache](), [xet](), [data](), [Deployment]() Tags: [announcement](), [artificial-intelligence](), [cache](), [cloud](), [data](), [datasets](), [deployment](), [google](), [google-cloud](), [inference-endpoints](), [networking](), [open](), [open-source](), [partnership](), [partnerships](), [storage](), [vertex](), [vertex-ai](), [xet]() ### AI overview Hugging Face and Google Cloud announce a strategic partnership focused on making open AI models easier to use, customize, deploy, and govern. The article describes integrations across Vertex AI, GKE AI/ML, Cloud Run GPUs, and other Google Cloud infrastructure, plus a planned CDN Gateway using Hugging Face Xet and Google Cloud storage and networking to accelerate model and dataset downloads and improve supply-chain robustness. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. [Next page]()