#AICompute

2025-12-09

Công nghiệp AI có thể đối mặt với tình trạng dư thừa năng lực tính toán trong vài năm tới. Nhiều doanh nghiệp lao vào sản xuất phần cứng chuyên dụng, mô hình AI ngày càng hiệu quả hơn nhờ các kỹ thuật như lượng tử hóa (quantization). Khi hạ tầng trở nên phổ biến và giá giảm, người dùng ưu tiên giải pháp tiết kiệm chi phí, khiến công ty lớn "úp mặt" với cơ sở hạ tầng chưa sử dụng.

#AI #Côngnghệ #AIcompute #ĐàotạoAI #Hiệuquả #OverSupply #Kỹthuật #AIminiaturization

reddit.com/r/sing

2025-12-06

⚙️ Excited to speak at Samsung HQ, California, USA 🇺🇸 on Functional intelligence for the Hardware era of AI with LLM4S.😍
📍 RSVP: luma.com/ql64e6yo?tk=FakD1E
⭐️ LLM4S(Star us): github.com/llm4s/llm4s
🌍 Join GenAI community: t.co/QTGcwIVySZ

#Scala #GenAI #LLMs #AICompute #LLM4S

cc : @scala_space
@scalatimes
@scala_lang
@scalabridgelondon

NERDS.xyz – Real Tech News for Real Nerdsnerds.xyz@web.brid.gy
2025-12-04

Palantir launches Chain Reaction to supercharge Americas AI infrastructure demands

fed.brid.gy/r/https://nerds.xy

eicker.news ᳇ tech newstechnews@eicker.news
2025-08-21

#OpenAI CFO Sarah Friar stated the company hit its first $1 #billion #revenue month in July and is expected to triple revenue to $12.7 billion this year. Despite this growth, OpenAI faces ongoing pressures from #AIcompute demands, necessitating partnerships with Oracle, Coreweave, and Microsoft. cnbc.com/2025/08/20/openai-com #tech #media #news

Dr. Thompsonrogt_x1997
2025-07-10

🚨 Speed or control? The 2025 LLM stack showdown is here.

Two platforms. Two philosophies.
• RunPod = full fine-tuning power 💻
• Groq = 500 tokens/sec 🚀

Which one should YOU trust to scale your AI app?
This new comparison is the only guide you’ll need.


🔗
medium.com/@rogt.x1997/what-gr

Dr. Thompsonrogt_x1997
2025-07-10

🚨 Speed or control? The 2025 LLM stack showdown is here.

Two platforms. Two philosophies.
• RunPod = full fine-tuning power 💻
• Groq = 500 tokens/sec 🚀

Which one should YOU trust to scale your AI app?
This new comparison is the only guide you’ll need.


🔗
medium.com/@rogt.x1997/what-gr

Mr Tech Kingmrtechking
2025-05-31

AI's computational demands are huge. Meeting them means pushing hardware (CPUs, GPUs, new silicon), optimizing ML models for efficiency, and integrating AI seamlessly with strong standards and collaboration. This is how ubiquitous AI becomes reality.

Unlocking Seamless AI: Chips, Smart Models, and Integration.

Is AI’s Compute Power at Risk?

youtube.com/shorts/P_Mi152nSXI

AI’s growth might not hit compute limits first but an energy crisis instead. Could sustainability become the focus? Find out more at www.AwesomeCast.com and www.SorgatronMedia.com.
#AICompute #EnergyConsumption #TechPodcast #AwesomeCast

Artificial Intelligence & MLtheaiml
2024-04-25

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst