Ambarella adds cloud IDE, live silicon access, and Gemini AI to Developer Zone
Ambarella, a maker of edge‑AI chips, announced a major upgrade to its Developer Zone, now offering a cloud‑hosted integrated development environment on Google Cloud Platform. The new IDE gives developers instant access to Ambarella SDKs, documentation, and optimized models, and lets them launch remote sessions on actual Ambarella silicon, measuring latency, throughput and power in real‑world…
Key points
- Ambarella's DevZone now includes a cloud‑hosted IDE on Google Cloud Platform with remote live‑silicon sessions.
- Gemini Enterprise powers agentic AI tools for coding, debugging, and workflow automation within the IDE.
- Partnerships with Ultralytics and ZEDEDA add model selection and fleet‑scale AI workload management.
The expansion also integrates Gemini Enterprise, Google’s agentic AI platform, to provide coding assistance, documentation search, troubleshooting and workflow automation directly within the IDE. Combined with low‑code blueprints and multi‑agent workflow templates, the service aims to streamline the creation of Physical AI systems. Recent collaborations bring additional model options from Ultralytics and fleet‑management capabilities via ZEDEDA, enabling developers to deploy and manage AI workloads across distributed device fleets.
Since its debut at CES 2026, the DevZone has attracted hundreds of developers from enterprise customers, ISVs and OEM partners. The latest rollout moves the platform from an evaluation stage to daily development and production deployment, with early‑access participants being onboarded in phases as the cloud‑connected device fleet grows.
Ambarella Expands its Developer Zone with Remote Access to Live Silicon and Agentic AI Development on Google Cloud Platform
finance.yahoo.com · 15 September 2026
Ambarella Expands its Developer Zone with Remote Access to Live Silicon and Agentic AI Development on Google Cloud Platform
New capabilities built on Google Cloud Platform and Gemini Enterprise give developers a cloud-hosted IDE and remote access to live Ambarella silicon
Recent collaborations add models from leading providers including Ultralytics
An integration with ZEDEDA enables deploying and managing AI workloads across distributed device fleets
SANTA CLARA, Calif., Sept. 15, 2026 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced a significant expansion of the Ambarella Developer Zone ("DevZone"), adding a cloud-hosted integrated development environment (IDE), secure access to cloud-connected fleets of Ambarella SoC-based devices and agentic AI development capabilities powered by Gemini Enterprise, all delivered on Google Cloud Platform (GCP). Recently announced collaborations with ZEDEDA and AI model providers including Ultralytics extend the same environment through model selection and fleet-scale deployment.
Ambarella launched DevZone at CES 2026 as an early-access program, bringing together the Cooper™ Model Garden, agentic blueprints, developer kits, documentation and technical resources at ambarella.com/developer. Hundreds of developers at enterprise customers, ISVs and OEM partners have engaged with the platform since launch, and the expansion announced today extends DevZone from evaluation into daily development work and into production deployment.
Cloud-Hosted Development and Live Device Sessions
The cloud-hosted IDE provides immediate access to Ambarella SDKs, documentation, optimized models and sample projects without local installation or configuration. From the same environment, developers can request a session on a cloud-connected fleet of Ambarella-based devices and run their build on live silicon, with latency, throughput and power measured under real-world operating conditions on the target hardware. These capabilities are available to early-access participants today, with developers onboarded in stages as the connected device fleet expands.
Agentic AI Development Capabilities
Agentic AI capabilities powered by Gemini Enterprise support developers throughout the development lifecycle, assisting with coding, documentation search, troubleshooting, workflow automation and application development. These capabilities complement the low-code and no-code agentic blueprints already available in DevZone for building the multi-agent workflows that Physical AI systems run in practice.
The expanded platform provides developers with:
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