logo Nvidia invests $3.5B in MediaTek for custom AI chips

Nvidia invests $3.5B in MediaTek for custom AI chips

Dosa AI Tools 3 min read nvidia anthropic deepseek runway
In this brief · 8 sections

This brief covers AI news from 2026-09-01 UTC.

Today’s brief covers Nvidia’s MediaTek investment, Anthropic’s cloud deal, and new model releases.

Nvidia invests $3.5B in MediaTek for custom AI chips

What happened: Nvidia announced a $3.5 billion investment in MediaTek via convertible bonds. MediaTek will adopt Nvidia’s NVLink Fusion platform to help customers design custom XPUs that integrate into Nvidia-based data centers.

Why it matters: Developers can build custom accelerators that plug into Nvidia’s rack-scale infrastructure, reducing reliance on off-the-shelf GPUs.

Source: NVIDIA

Anthropic signs $35B cloud deal with Lambda

What happened: Anthropic signed a $35 billion cloud-computing deal with Nvidia-backed Lambda for a Texas data center developed by Hut 8, covering about 350 megawatts of capacity.

Why it matters: Anthropic secures massive compute for Claude, easing GPU bottlenecks for its AI services.

Source: CNA

DeepSeek releases V4-Flash-Vision open weights

What happened: DeepSeek published open weights for DeepSeek-V4-Flash-Vision-Exp, a 305B-parameter multimodal model, under an MIT license. The 168GB repository includes reference inference code.

Why it matters: Developers can run and fine-tune a frontier vision model locally, enabling multimodal agents without API dependency.

Source: RuntimeWire

Runway unveils Solaris, an interface world model

What happened: Runway introduced Solaris, the first model in a new family called Interface World Models. It generates apps and websites in real time, frame by frame, without an intermediate code representation.

Why it matters: Could eliminate the design-to-code step, letting developers build interactive interfaces directly from models.

Source: Runway

Perceptron AI launches Isaac 0.5 robotics model

What happened: Perceptron AI released Isaac 0.5, a 36B-parameter open-weight embodied foundation model that combines video understanding, reasoning, and robot control. It outperforms open rivals like π0.5 and GR00T N1.7.

Why it matters: Robotics teams get a frontier open model to control robots or integrate into planning systems, reducing need for proprietary solutions.

Source: IT Tech Pulse

Nvidia unveils Nemotron 3.5 Lightning and NeMo Switchyard

What happened: Nvidia released Nemotron 3.5 Lightning, a 30B-parameter MoE model for agentic workloads, and NeMo Switchyard, an open-source library for routing requests to the best model in multi-agent systems.

Why it matters: Developers can build efficient multi-agent systems with smart routing across open and proprietary models without rewriting apps.

Source: Future Tech Markets

EU designates ChatGPT as a search engine under DSA

What happened: The European Commission classified ChatGPT as a Very Large Online Search Engine under the DSA, alongside Reddit and Roblox as VLOPs. ChatGPT has 159M monthly EU users.

Why it matters: ChatGPT now faces strict EU compliance: systemic risk assessments, transparency reports, and data access for researchers, affecting how it operates in Europe.

Source: TNW

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