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TENESYS AI NEWS tracks the most important AI news and explains what changed, why it matters and whether a technology is worth testing.

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“Pricing” — 3 articles ✕

Agents· Important· 🧪 Worth Testing

Google Cloud Launches Remote MCP Server for gcloud and BigQuery CLI Access

Google Cloud introduced, in public preview, a remote MCP server that exposes the gcloud and bq command-line tools to AI agents via two tools: run_gcloud_command and run_bq_command. The server runs in an isolated, network-restricted sandbox on Google Cloud infrastructure, removing the need for agents to install or maintain local CLI binaries. It uses Agent Identity, OAuth 2.0, and IAM for authentication, integrates with Model Armor to screen for prompt injection, and supports Cloud Audit Logging for full visibility into tool calls.

Google Cloud AI
Automation

NVIDIA Launches 64GB DGX Spark for Local AI Development

NVIDIA is releasing a new 64GB unified memory configuration of its DGX Spark personal AI supercomputer, available from partners like Acer, ASUS, Dell, HP, Gigabyte and MSI starting Oct. 23 at $4,999. The system runs up to 100-billion-parameter models locally on device, and two units can be clustered via NVIDIA Sync Cluster Assistant to pool memory to 128GB and support models up to 200 billion parameters, with up to 1.7x performance gains in NVIDIA's Qwen 3.8 27B test. It ships with the NVIDIA Agent Toolkit, CUDA-X AI libraries, Nemotron models and support for Ollama, vLLM and PyTorch out of the box.

NVIDIA
Agents· Important· 🧪 Worth Testing

Google's Antigravity SDK Adds Local Offline Model Support with Gemma 4 26B

Google announced that its Antigravity SDK now supports running agentic workflows locally and offline, with initial support for Gemma 4 26B A4B running via Google AI Edge's LiteRT. Developers can build agents that run entirely on-device, without cloud API costs or internet dependency. Google also demonstrated a hybrid 'Architect-Builder' pattern where a cloud model (Gemini 3.8 Flash) plans tasks and a local swarm of Gemma 4 26B instances does the heavy execution, keeping source code off the cloud.

Google Developers