iFeeling Daily
Daily curated AI insights you can't miss.
Google Cloud Launches C4N Network-Optimized VMs with 400 Gbps
C4N instances from Google Cloud eliminate network and storage I/O bottlenecks for demanding workloads like databases, AI/ML inference, and network appliances, delivering up to 400 Gbps and 95 MPPS with Hyperdisk storage—a 2x performance boost over C4 and significant TCO savings by avoiding over-provisioning.
Why video games might make better training data for AGI than the internet
General Intuition CEO Pim de Witte argues that video game data provides a better foundation for training physically intelligent AI than internet text, and his Bezos-backed startup just raised $320 million to prove it.
Why Agentic AI Needs Open Data and Synthetic Scaling
NVIDIA Nemotron's open data strategy tackles the hardest part of building agents: the real world doesn't behave like a benchmark. Instead of just releasing model weights, they release synthetic data for tool-use failures, multi-step reasoning, and agentic workflows—making agent behavior inspectable and reproducible without exposing proprietary secrets.
Google Named Leader in Gartner Magic Quadrant for AI Infrastructure
Google's AI Hypercomputer, built on co-designed TPUs and open software, aims to solve the infrastructure challenges of the agentic era. Named a Leader in Gartner's Magic Quadrant for AI Infrastructure, the stack claims up to 40% higher throughput and 30% lower serving costs, with scalability to 130,000 nodes and 97% accelerator goodput.
Transformers Backend for vLLM Matches Native Inference Speed
The transformers modeling backend for vLLM now dynamically applies inference-specific layer fusions at runtime, matching or exceeding the performance of hand-written vLLM implementations across Qwen3 models from 4B to 235B parameters. One clean implementation in transformers is enough for both training and production-grade inference, without custom ports.
SambaNova raises $1B at $11B valuation for AI inference chips, JPMorgan signs on
SambaNova raises $1B at $11B valuation, five months after a $350M Series E, to scale supply chain and deliver its SN50 inference chips. With JPMorgan as a customer and a deepened Intel partnership, the company targets the growing demand for private, on-premises AI inference in banking, government, and enterprise.
Vercel CEO: The fight is to split models from agents, not couple them
Vercel CEO Guillermo Rauch argues the AI industry has shifted from prototyping to production, where agents face real bottlenecks in secure data access and auditability. He positions Eve and Vercel Sandbox as solutions that cage agents for data safety while letting them act freely, and bets on a decoupled stack over vendor lock-in as the winning architecture.
SK Hynix plans $28B US IPO as AI memory demand fuels chip shortage
SK Hynix plans a major U.S. IPO as AI demand for high-bandwidth memory outpaces supply, creating a shortage that is raising hardware prices and driving a $550 billion buildout by South Korean chipmakers.
From Hugging Face to SageMaker Studio with zero setup friction
The new deep-link integration from Hugging Face to SageMaker Studio eliminates the multi-step setup friction of creating domains, configuring IAM permissions, and requesting GPU quota by landing you directly in a pre-configured Studio environment with your chosen model pre-loaded for fine-tuning or deployment.