Google Unveils Coral Board for Local AI and Edge Computing
… The platform targets compact, low-power deployments where local AI inference, responsiveness, and operational independence are more important than raw compute throughput. …
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From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI
… As local agentic AI continues to gain momentum, applications like OpenClaw are enabling always-on AI assistants on RTX PCs, workstations and DGX Spark. …
Google's Gemma 4 Model Can Now Be Deployed on NVIDIA's RTX GPUs, Delivering Optimized Performance for a 'Personalized' Agentic AI Environment
… As local agentic AI continues to gain momentum, applications like OpenClaw are enabling always-on AI assistants on RTX PCs, workstations, and DGX Spark. …
Bringing AI Closer to the Edge and On-Device with Gemma 4 | NVIDIA Technical Blog
… These models are suited to meet the growing demand for local deployment for AI development and prototyping, secure on-prem requirements, cost efficiency, and latency-sensitive use cases. …
NetApp Expands Google Cloud Collaboration for Sovereign, Air-Gapped Deployments
NetApp Expands Google Cloud Collaboration for Sovereign, Air-Gapped Deployments by Harold Fritts on April 16, 2026 AI ◇ Cloud ◇ Enterprise NetApp announced an expanded collaboration with Google Cloud, formalized through a four-year enterprise agreement to accelerate the deployment of NetApp storage… …
AMD Rolls Out Gemma 4 Model Support Across Full Range of GPUs & CPUs
… Point Lemonade to the ROCm build by setting the environment variable: export LEMONADE LLAMACPP ROCM BIN=/path/to/llama-server Start Lemonade and load the Gemma 4 model via the API: lemonade-server serve curl http://localhost:8000/api/v1/pull \ -H "Content-Type: application/json" \ -d '{"model name"… …
Day 0 Support for Gemma 4 on AMD Processors and GPUs
… Point Lemonade to the ROCm build by setting the environment variable: export LEMONADE LLAMACPP ROCM BIN=/path/to/llama-server Start Lemonade and load the Gemma 4 model via the API: lemonade-server serve curl http://localhost:8000/api/v1/pull \ -H "Content-Type: application/json" \ -d '{"model name"… …
Want to make the most of the new Gemma 4 AI models? RTX GPUs and PCs accelerate local AI like never before
… Relying on locally run AI on your own RTX hardware ensures that you can manage the costs at every step of the way, from initial purchase, to deployment, and ongoing maintenance. No need for cloud AI subscriptions, or long-term token fees. …
Paper page - When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels
… Applying the same chain to Petri shows that it admits both tools. The substantial differences arise upstream of the chain, in claim-contract enforcement and deployment fit. …
Qumulo and Cisco Pitch GPU Liquidity With Updated Cloud AI Accelerator
… Availability and Deployment Model Qumulo Cloud AI Accelerator is now available on AWS, Microsoft Azure, Google Cloud, and Oracle Cloud Infrastructure, with hybrid deployment support in Cisco UCS environments. …