Moritz Kremb (@moritzkremb)

작성자는 올해 AI의 기하급수적 가속이 다가오고 있으며 이미 체감 중이라며 생산성이 연초 대비 10배 올라간 것 같다고 주장합니다. 개발자·사용자 관점에서 곧 더 큰 영향이 있을 것이라는 전망성 게시물입니다.

https://x.com/moritzkremb/status/2029141593840631960

#ai #productivity #aiacceleration #machinelearning

Moritz Kremb (@moritzkremb) on X

get ready for the exponential AI acceleration it’s coming and you’re going to feel it more than ever this year i already feel it now, it’s like my productivity has gone up 10x since the start of the year

X (formerly Twitter)

뺑수.Bbang soo | RIVER | (@peterrrmoon)

미국 기업 Groq가 AI 추론 전용 칩 LPU(Language Processing Unit)를 개발했으며, LLM 응답 생성 속도가 GPU 대비 5~10배 빠르다고 소개합니다. 또한 GroqCloud API라는 클라우드 서비스를 통해 Llama 등 모델을 손쉽게 실행할 수 있다고 언급하는 제품·서비스 발표 성격의 트윗입니다.

https://x.com/peterrrmoon/status/2018487146487914661

#groq #lpu #aiacceleration #groqcloud #llm

뺑수.Bbang soo | 🌊RIVER | 🫎 (@peterrrmoon) on X

Groq 가입하기 Grok 아님 야핑아님 @GroqInc Ai 모델을 초고속으로 실행해주는 미국 회사구요. GPU 보다 훨씬 빠른 전용칩 LPU 를 만들었데요. LPU(language processing unit) Ai 추론 전용 칩 LLM 응답생성속도가 GPU 대비 5~10배 빠름 클라우드 서비스: GroqCloud API로 누구나 쉽게 Llama,

X (formerly Twitter)

Takashi Ishida (@tksiiml)

오리진 스토리: Kevin이 Reddit에서 Victor의 스텔스 회사 Crixet를 찾아 DM으로 연락해 팀을 OpenAI로 데려왔고, 그 팀이 AI 가속을 위한 과학적 협업 레이어(scientific collaboration layer)를 구축하게 되었다는 내용의 설명.

https://x.com/tksiiml/status/2016876941983567909

#openai #crixet #research #collaboration #aiacceleration

Takashi Ishida (@tksiiml) on X

Exciting origin story! > "Kevin found Victor's stealth company Crixet on a Reddit forum, DMed him out of the blue, and brought the team into OpenAI to build the scientific collaboration layer for AI acceleration"

X (formerly Twitter)

Nvidia’s $2B investment in Synopsys strengthens a strategic partnership to speed up AI chip design by combining Synopsys’s EDA tools with Nvidia’s AI compute. Analysts see major upside, and the deal positions Synopsys as a key driver of next-gen AI hardware.

#Nvidia #Synopsys #AIChips #EDA #Semiconductors #Investment #AIAcceleration #TECHi

Read more details :- https://www.techi.com/mizuho-synopsys-stock-nvidia-2b-investment/

FuriosaAI, công ty bán dẫn AI hàng đầu, chính thức giới thiệu bộ tăng tốc AI đột phá RNGD, hướng tới mở rộng hợp tác chiến lược tại Việt Nam và khu vực Đông Nam Á, thúc đẩy phát triển hạ tầng AI hiệu suất cao.

#FuriosaAI #AIAcceleration #RNGD #Semiconductor #ArtificialIntelligence #ĐôngNamÁ #CôngNghệAI #BộTăngTốcAI #HợpTácChiếnLược #VietnamTech
#AI #Technology #SoutheastAsia #Innovation #Vietnam

https://vtcnews.vn/furiosaai-gioi-thieu-bo-tang-toc-ai-dot-pha-mo-rong-hop-tac-tai-dong-nam-a-ar9

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Báo điện tử VTC News

🚨 Still deploying your LLMs on GPUs? You’re wasting time and money.
Groq’s LPU runs at ⚡500 tokens/sec⚡ with 1ms latency. That’s not hype—it’s production-ready speed.
Discover 6 real-world apps that prove Groq is rewriting the rules of AI deployment.👇

👉 https://medium.com/@rogt.x1997/train-llms-in-minutes-not-hours-6-use-cases-that-prove-groq-is-the-fastest-way-to-serve-llms-c8fc98e45dfb
#LLMDeployment #Groq #AIAcceleration
https://medium.com/@rogt.x1997/train-llms-in-minutes-not-hours-6-use-cases-that-prove-groq-is-the-fastest-way-to-serve-llms-c8fc98e45dfb

Train LLMs in Minutes, Not Hours: 6 Use Cases That Prove Groq Is the Fastest Way to Serve LLMs

There’s a moment — right after you hit run on your training script — when every AI developer quietly prays to the GPU gods. You’ve waited hours, sometimes days, for a response. And when it finally…

Medium

Following up on Day 1: A key theme highlighted (esp. via Srinivasan) is holistic #CoDesign for sustainable #AIacceleration & #EnergyEfficiency. Requires optimizing synergies across ML algorithms (e.g., low-precision DNNs), hardware architectures & software. Eager for Day 2! (2/2)

Link: https://sustainable-ai.royalsociety.org

#MachineLearning #SustainableAI

Vidformer – Drop-In Acceleration for Cv2 Video Annotation Scripts — https://github.com/ixlab/vidformer
#HackerNews #Vidformer #Cv2 #VideoAnnotation #GitHub #AIAcceleration #OpenSource
GitHub - ixlab/vidformer

Contribute to ixlab/vidformer development by creating an account on GitHub.

GitHub

Recent rumors suggest that Samsung's upcoming flagship chipset, the Exynos 2500, may feature integration with Google's Tensor Processing Unit (TPU) for enhanced AI capabilities.

If true, this collaboration could mark a significant leap forward in AI performance for Samsung's Galaxy S25 series and other devices. The potential inclusion of Google's TPU alongside Samsung's Neural Processing Units hints at a comprehensive AI solution that combines both companies' strengths

#SamsungAI #Exynos2500 #GoogleTPU #GalaxyS25 #MobileTech #AIAcceleration #TechRumors #SamsungGalaxy #GoogleNews #FutureTech