All while continually retooling and adding new content to their back catalog and also codeveloping 3 of nintendo's key 1st party franchises Is there any other analog for them in the broader games industry?

What can save $SPCX could be its merger with $TSLA I mean the signs are there SpaceX is: - codeveloping Roadster - building a mega solar factory - building GPU clusters with Tesla - Starlink service will come to every Tesla - a big customer of Cybertrucks

These people at annapurna are codeveloping the next silent hill as well. Get ready for more "vibes" 🙄

A stronger Indo‑Pacific, built on trust. Indonesia and the U.S. will pursue advanced initiatives such as codeveloping asymmetric capabilities; 1/3

Weekend AI News: @NVIDIA and @SKhynix announce multiyear technology partnership for next-generation memory aligned to NVIDIA’s AI infrastructure roadmap. BTW both Nvidia and SKHynix Silicon Valley campuses are less than two miles apart from each other and I cross both of em everyday, on my way to my office/studio 😊 Key highlights of the joint announcement: 1. SK hynix will diversify into new markets NVIDIA is creating — across AI infrastructure, personal AI and physical AI — codeveloping memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor robotic computing platforms. My POV, it was imminent, HK hynix being the major supplier to previous generations of Nvidia systems. 2. Both companies will apply AI to semiconductor chip design and manufacturing, using NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo to accelerate semiconductor simulations, TCAD workflows and in-house engineering codes. My POV: obviously Nvidia can convince one of their key suppliers to use Nvidia technology to speed up the design and manufacturing of one of the most constrained resources — and use it as a case study to advance their vertical agenda in manufacturing industry (and horizontal agenda of physical AI) 3. SK hynix will advance factory digital twins by combining NVIDIA Omniverse, OpenUSD scene optimization and NVIDIA cuOpt to drive fully autonomous fab operations. My POV: Nvidia gets some business in the process 😊 4. The agreement supports supply for advanced memory, addressing the extended development cycles, advanced fabrication and ‘Capital Investments’ to sustain the global buildout of AI factories. My POV: not clear who will make those investments, if those are joint investments or just from SKhynix. cc @dvellante @furrier @BenBajarin @dfloyer @altcap @EdLudlow @jonfortt

NVIDIA and SK hynix announce multiyear technology partnership for next-generation memory aligned to NVIDIA’s AI infrastructure roadmap. The agreement supports supply for advanced memory, addressing the extended development cycles, advanced fabrication and capital investments to sustain the global buildout of AI factories. SK hynix will diversify into new markets NVIDIA is creating — across AI infrastructure, personal AI and physical AI — codeveloping memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor robotic computing platforms. The two companies will apply AI to semiconductor chip design and manufacturing, using NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo to accelerate semiconductor simulations, TCAD workflows and in-house engineering codes. SK hynix will advance factory digital twins by combining NVIDIA Omniverse, OpenUSD scene optimization and NVIDIA cuOpt to drive fully autonomous fab operations.

$NVDA and SK Hynix announced a multiyear partnership 👀 SK Hynix will be codeveloping memory for Nvidia platforms like Vera Rubin, Vera CPUs, RTX Spark PCs, and Jetson Thor platforms. SK Hynix will also combe NVIDIA Omniverse, and NVIDIA cuOpt to advance digital twins 🚨

NVIDIA and SK hynix announce multiyear technology partnership for next-generation memory aligned to NVIDIA’s AI infrastructure roadmap. The agreement supports supply for advanced memory, addressing the extended development cycles, advanced fabrication and capital investments to sustain the global buildout of AI factories. SK hynix will diversify into new markets NVIDIA is creating — across AI infrastructure, personal AI and physical AI — codeveloping memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor robotic computing platforms. The two companies will apply AI to semiconductor chip design and manufacturing, using NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo to accelerate semiconductor simulations, TCAD workflows and in-house engineering codes. SK hynix will advance factory digital twins by combining NVIDIA Omniverse, OpenUSD scene optimization and NVIDIA cuOpt to drive fully autonomous fab operations. NVIDIA 和 SK 海力士宣布達成一項多年技術合作協議，共同開發與 NVIDIA 人工智慧基礎設施路線圖相契合的下一代記憶體。 1. 該協議旨在支援先進記憶體的供應，以應對人工智慧工廠全球建設所需的延長開發週期、先進製造流程和資本投資。 2. SK 海力士將拓展業務至 NVIDIA 正在創建的新市場——涵蓋人工智慧基礎設施、個人人工智慧和實體人工智慧領域——雙方將共同開發用於 NVIDIA Vera Rubin 人工智慧超級電腦、Vera CPU、RTX Spark 處理器和 Jetson Thor 機器人運算平台的記憶體。 3. 兩家公司將利用人工智慧技術應用於半導體晶片的設計和製造，使用 NVIDIA CUDA-X 庫和 NVIDIA PhysicsNeMo 來加速半導體模擬、TCAD 工作流程和內部工程程式碼的運作。 4. SK 海力士將結合 NVIDIA Omniverse、OpenUSD 場景優化和 NVIDIA cuOpt，推動工廠數位孿生技術的發展，從而實現完全自主的晶圓廠運作。 nvidianews.nvidia.com/news/s…

Fun fact: we discontinued FGFA because of ruskis only. We were not "codeveloping" it. We were just financing it

Its true. Almost all engines on Indian roads are only Indian manufactured not Indian designed and developed. System level R&D work by European contractors AVL/Ricardo. Over the years Indian OEMs(4W/2W) have taken some part in codeveloping but more as a junior partner doing simulations and tests and end user. But the core know why doesn’t exist with Indian OEMs

ASML hiring in Taiwan means deeper collaboration between TSMC and ASML, both on short term support and long term roadmap. ASML and TSMC will work on codeveloping leading edge processes using high NA equipment.

Retro Nike inspiration—no wonder it feels very familiar! I’m really into it. One difference I have observed between Gizmodo US and Gizmodo Japan is that you guys have 1) a very strong video audience and 2) a more engaged readership that seems to appreciate niche hobbies such as mechanical keyboards and MIDI/sampling gear. I think that by engaging with fans of those niches both online and IRL at events is what makes the Giz JP brand so “sticky” compared to other tech media brands. You guys are not talking down to the community as writers/editors with special access to products and brands, but rather directly to them on the same level. It feels like an evolution of the role of the media/blogging. In the age of AI-created content, it’s more important than ever to have a human touch/connection in creating content. This is why traditional media is learning they must build parasocial relationships, similar to influencers/creators, for their brands. It’s proof there’s a human behind an article or video. Codeveloping physical products like Nape Pro with Keychron seems to be another way to prove there’s a human touch/connection, since it’s solving a problem real people may have. I also haven’t seen any other tech media brands codevelop tech products, only merchandise such as stickers and T-shirts so it’s quite a unique strategy and business model to push toward. I’m really fascinated to see how you guys expand beyond Nape Pro. I imagine it must be expensive! These are just my thoughts as an observer. I have no knowledge into how you guys actually operate 😅. As AI reshapes everything including digital media/publishing, we must ask ourselves what is the media brand? What can the blog do to go beyond just publishing articles/video/podcast? Nobody has a definitive answer, but it’s really exciting to see you guys take a risk and try something big

Your pisition is completely valid ! So after Israel stops receiving 3.8B worth of american military hardware, will you be ok with israel codeveloping advanced wepon systems with other countries ?

A strong argument I can admit. I don’t think Intel and AMD are even comparable anymore though so you are right. One is a CPU company with a small GPU business and the other is looking to become a leading edge foundry that might make more licensing and codeveloping CPUs in the future.

ChargePoint and @eatoncorp: CoDeveloping the future of EV charging Express Solo is built on the first product architecture we have codeveloped with intelligent power management company Eaton. Our innovative collaboration integrates EV chargers and the necessary end-to-end power infrastructure, which: Simplifies the deployment of EV charging by unifying two workstreams: the charging equipment and the power distribution technologies that powers it. The process accelerates via this unification, offering proven solutions that are “on the shelf” for fast deployment. So what does this mean in real terms? Together, the companies are developing ChargePoint Express Grid, powered by Eaton, to deploy with lower capital investment, within a smaller footprint, and with lower operating costs. The new Express Solo arrives tested and ready to deploy with Eaton’s innovative range of power distribution technologies that can connect it to the grid, solar, batteries and similar onsite distributed energy resources. The first of our codeveloped solutions are rolling out now. Learn more ➡️ bit.ly/48rBukp Come visit us at the ACT Expo, Stand 2500/2501 in Las Vegas May 4-7th.

CKD assembling isn't codeveloping

A large fleet of LCA Mk1/1A in IAF for the next 30 Y is a reality. This will be followed by Mk2 and AMCA. Without the commitment, GoI wouldn't have negotiated the GE414 deal and got it cleared by US Congress. GoI wouldn't be investing in the codeveloping 110 KN engine.

$INTC $TSM $AMAT $KLAC $MU | Intel and Google expand their AI alliance to build next generation cloud infrastructure. Google is deploying Intel Xeon 6 to power the shift to Agentic AI, while codeveloping custom ASIC IPUs to offload critical networking and security tasks.

$RBNT is one of the most obvious yet heavily slept on crypto gems. I mean come on! CSIRO invented Wi-Fi and it is codeveloping @RedbellyNetwork People will pivot once it’s priced in SMH