AI chip startup Etched secures $700M at a $21B valuation and ships its first inference rack to Jane Street, backed by Sequoia Capital, Andreessen Horowitz, and Blackstone, as it scales toward Gigawatt-level infrastructure to bring frontier AI models to the masses.
NVIDIA Nemotron 3.5 Lightning is now live on Amazon SageMaker JumpStart, delivering up to 4x faster throughput and 30% quicker task completion for AI agents using a hybrid 30B-parameter model that runs efficiently on a single GPU with a 1M-token context window.
OpenAI and Anthropic slash AI prices by up to 80% in a fierce battle against cheap Chinese rivals, while Anthropic debuts invisible text watermarking technology and Groq raises $350 million to pivot to neocloud services despite a dramatic valuation drop.
Qwen3.8-27B dominates 24GB GPU benchmarks with near-perfect scores in coding, reasoning, and document QA, outperforming its predecessor Qwen3.6-27B and rival Gemma 4 31B-it while maintaining identical speed and memory efficiency.
A new GitHub workshop, 'Agents That Own Their Inference,' teaches engineers to build production AI agents on dedicated GPUs using vLLM, covering nine modules on inference optimization and Kubernetes deployment with full open-source control and no vendor lock-in, available for roughly $0.52 per hour on Akamai Cloud.
AI agent costs are set to surge fivefold by 2028 as enterprises rush to adopt the technology despite hidden expenses and unpredictable returns, with Gartner warning of an 'inference paradox' where efficiency gains actually drive higher spending, while Nvidia's $105 billion financing of OpenAI's Ohio data center highlights just how …
Honor's new Robot Phone launches with a gimbal-mounted 200MP camera and AI companion YOYO that tracks user movements, as the smartphone industry accelerates toward AI-first designs with Samsung, Apple, and Google all racing to define the next era of mobile technology.
Alibaba's new Qwen 3.8 27B vision AI model runs on consumer laptops as a 17GB file, delivering impressive code generation and image analysis capabilities, but its default 'xhigh' reasoning setting causes excessive overthinking on simple tasks, and speed remains limited at 15–30 tokens per second — though a 72% boost …
A new open-source tool called 'Soup' is revolutionizing AI development by allowing developers to fine-tune massive 8-billion parameter language models on a standard 4GB laptop GPU using a single command, thanks to a breakthrough 'layer streaming' technique that achieves 119.6 tokens per second at just 3.32 GB peak VRAM.
A new open-source benchmarking tool, Talkify Latency Bench, exposes dramatic speed differences between macOS speech-to-text engines, with Talkify leading at just 123ms and MacWhisper lagging nearly 10x slower at 1149ms across 20 measured trials.