News

NVIDIA Announces RTX 6000 Ada Professional GPU

The new graphics card promises to be a powerhouse, but you’ll need to fork out over $8,000 for the privilege of owning one.

Published

3 years ago

December 2, 2022

Nour Nasir

NVIDIA

NVIDIA has just announced a new workstation-focused graphics card — the RTX 6000 Ada. The 48GB powerhouse is the latest model to join the company’s family of high-end, enterprise-grade GPUs designed for demanding content creation. NVIDIA sees the RTX 6000 being used for metaverse projects, thanks to the card’s Ada Lovelace generation AI, massively improved ray tracing and other cutting-edge features.

It’s important to point out that NVIDIA doesn’t view this GPU as something the general public will buy — the predicted $8,000 price will undoubtedly prevent that from happening — but instead is positioning the card as a tool for TV broadcasters, scientists and other professional applications.

“The new workstation GPUs are truly game-changing, providing us with over 300% performance increases — allowing us to improve the quality of video and the value of our products,” says Andrew Cross, CEO of Grass Valley (TV broadcast equipment).

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So what do the specs look like in NVIDIA’s new RTX 6000 Ada? For starters, there are over 18,000 CUDA cores, 48GB of GDDR6 memory and a power rating of 450 watts. 568 Tensor cores and 142 RT cores help to triple the video encoding performance, and Nvidia virtual GPU (vGPU) software enables multiple remote users to share resources and workloads.

“The NVIDIA RTX 6000 is ready to power this new era for engineers, designers and scientists to meet the need for demanding content-creation, rendering, AI and simulation workloads required to build worlds in the metaverse,” says Bob Pette, NVIDIA vice president of professional visualization.

The NVIDIA RTX 6000 Ada will be available from December 2022 through global distribution channels and manufacturing partners.

News

OpenAI’s ChatGPT Health Is A Private Space For Health Data

A new health mode lets the popular AI platform tap medical records and fitness apps while walling off sensitive information.

Published

6 days ago

January 8, 2026

Nour Nasir

OpenAI

OpenAI has created ChatGPT Health, a separate space inside its chatbot platform for handling medical and wellness data. The opt-in feature starts with a small US cohort before widening out.

Health-related questions have long driven traffic to AI tools. OpenAI says over 230 million people ask ChatGPT about health or insurance each week. The new mode adds personal context to that behavior but stops short of diagnosis or treatment advice.

Users can connect records from participating US providers through b.well and link apps such as Apple Health, MyFitnessPal, Function and Weight Watchers. Some links are US-only, while Apple Health needs iOS. Once connected, ChatGPT can surface patterns in labs, summarize information ahead of a clinic visit or help map diet and exercise choices against past data.

The data sits apart from other chat information. Health has its own memories and does not spill into other conversations. Users can view or delete health memories at any time. OpenAI says this material is not used to train its models.

Security is much heavier in this section too. Health adds isolation and purpose-built encryption on top of the platform’s baseline protections. App connections require explicit permission, and disconnecting cuts the feed immediately.

“ChatGPT Health is another step toward turning ChatGPT into a personal super-assistant that can support you with information and tools to achieve your goals across any part of your life,” wrote Fidji Simo, OpenAI’s applications chief.

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Physicians had input during development, though OpenAI has not detailed how that shaped the end product. The launch follows Health Bench, a dataset released in May to test models on realistic medical cases.

While currently rooted in the US healthcare ecosystem, the approach may draw interest in the Gulf and wider MENA markets as governments push digital health records and patient portals under modernization programs. Adoption will depend on whether users trust an AI assistant with such personal material and whether it fits clinical routines.

For OpenAI, the move marks a cautious step into regulated terrain and signals a shift toward sector-specific uses of generative AI.