ExecuTorch 1.0 and Qualcomm Hexagon NPU collaboration boosts AI performance by 30% to 92%

Together AI's API business, which allows customers to run open-source AI models, makes up 30% to 40% of the company's revenue and is a key way the neocloud is trying to differentiate itself. Find out more: https://thein.fo/4nTrsyi

Every leap in AI starts with a great foundation. That foundation is CoreWeave — the Essential Cloud for AI. CoreWeave is purpose-built for the scale, speed, and complexity of modern AI. From OpenAI to IBM, pioneers trust CoreWeave to train faster, deploy smarter, and enable breakthroughs that redefine what’s possible. CoreWeave’s deep technical experience with GPU infrastructure, combined with new vertical integrations after this year's acquisition of Weights & Biases and OpenPipe as well as the pending Monolith acquisition, make CoreWeave the Essential Cloud for AI. Learn more in the latest blog from CSO Brian Venturo: https://hubs.la/Q03NQ5nB0 #CoreWeave #AI #EssentialCloud #AIinfrastructure #AICloud

Boost edge AI by 4x speed and 70% energy savings with new multi-threading for Spiking Neural Networks. 💡 This tech slashes costs and boosts performance for mobile AI apps, enhancing real-time processing without cloud reliance. Arxiv paper: 📄 https://lnkd.in/e8fdq9SG Author: Lars Niedermeier, Vyom Shah, Jeffrey L. Krichmar #ComputerScience #NeuralandEvolutionaryComputing #arXiv

EUROPE AND AI: BETWEEN VISION AND REALITY I’ve been thinking a lot about how Europe approaches AI full of visions, but still catching up with real implementation. Here’s my short reflection on that balance 👇 🔗 https://lnkd.in/e2m95eTa 💡 Nvidia now leads with a full-stack AI strategy from its H100/H200 GPUs to the CUDA software ecosystem powering Microsoft Azure and AWS. CEO Jensen Huang even admitted: “The only regret I have is that I didn’t invest more in CoreWeave and Elon Musk’s xAI.” #AI #Automation #DevOps #Cloud #Digitalization #Gigafactory #Innovation #WomenInTech #DevSecOps #Nvidia

Bandwidth Inc. has announced support for OpenAI's Realtime API to enhance AI voice agents. This integration allows enterprises to use OpenAI's GPT language models for natural, human-like conversations through Bandwidth's infrastructure. John Bell, Bandwidth's Chief Product Officer, said that enterprises can now deploy AI voice agents with the reliability and global scale of their Communications Cloud. Read more: https://lnkd.in/gGch2XX7 📰 Subscribe to the weekly Enterprise AI Brief: https://lnkd.in/entJYxQv #ai #artificialintelligence #ainews #EnterpriseAI

The next infrastructure challenge won’t be data or cloud. It’ll be planning itself. For years, infrastructure meant compute, storage, and networks. But the next enterprise bottleneck isn’t technical, it’s organizational. As AI adoption scales, the real constraint is planning infrastructure: How do you absorb 100 new initiatives a month? How do you validate them, prioritize them, and connect them to execution, automatically? That’s not a spreadsheet problem. It’s a systems problem. ForceEquals is the AI Planning Platform built for this exact challenge, giving enterprises the infrastructure to plan, align, and execute at scale. Because the next competitive edge won’t come from better code or bigger clouds. It’ll come from how fast you can turn insight into action. Transforming enterprise ideas into execution-ready plans with Multi-Agent AI - https://lnkd.in/gBnyTkb6 #ForceEquals #AIPlanningPlatform #EnterpriseAI

The next wave of AI isn’t just smarter and private — it’s locally deployed. “Offline AI” or “Edge AI” is redefining how we use large language models: they now run entirely on your own device, with no cloud dependency. This means zero latency, full privacy, no API fees, and complete control over your data. With tools like Ollama, LM Studio, and quantized models (GGUF, Qwen, Mistral), running your own GPT-class model on a laptop or server is becoming mainstream. The future? Hybrid AI — where agents think globally but run locally. 

From pixels to tokens and pages to agents, in Guillermo Rauch blog post https://lnkd.in/eJ9m3KEq on AI Cloud, Guillermo explains that Infrastructure should be invisible to allow companies to ship products fast. Developers should focus on building products, and not managing servers. AI Development is no different and should be as simple as writing a few lines of code, with all the complexity of infrastructure, scaling, and operations handled automatically. For more on the innovation Vercel is developing around AI Cloud, join us at https://vercel.com/ship/ai #AI #CloudComputing #DevOps #SoftwareDevelopment #Innovation

On Thursday, the AI platform Clarifai announced a new reasoning engine that it claims will make running AI models twice as fast and 40% less expensive. Designed to be adaptable to a variety of models and cloud hosts, the system employs a range of optimizations to get more inference power out of the same hardware. “It’s a variety of different types of optimizations, all the way down to CUDA kernels to advanced speculative decoding techniques,” said CEO Matthew Zeiler. “You can get more out of the same cards, basically.” The results were verified by a string of benchmark tests by the third-party firm Artificial Analysis, which recorded industry-best records for both throughput and latency. https://lnkd.in/g9Wkehax #Clarifai #ReasoningEngine #MakesAIModelsFasterAndLessExpensive

🚀 Weekly AI News (Oct 5, 2025): The AI Race Hits Hyperdrive! on AI with Arun Show OpenAI now leads as the world's most valuable startup with a $500B valuation, while Meta's $14B deal with CoreWeave redefines cloud infrastructure for AI. This episode covers:  Breakthrough models (Claude 4.5, Gemini Robotics, Alibaba Qwen-3 Max)  Historic AI regulation worldwide—UN, EU, India, US (SB 53), and China  Multi-billion funding rounds driving next-gen AI  Regional LLM's, AI-powered megabanks, and enterprise adoption milestones Ready to stay ahead of the AI revolution? Watch the full episode for insights from Silicon Valley to global AI policy: 👉 https://lnkd.in/gcMssSVD