Tag: Scalability

AIHardwareTechnology

AMD Sets October Launch for Radeon AI Pro R9700 GPU at $1,299 Starting Price

AMD has officially announced the retail availability of its Radeon AI Pro R9700 graphics card for AI developers. The standalone GPU will launch October 27 with a starting price of $1,299, featuring 32GB of VRAM and specialized AI accelerators.

Official Pricing and Release Date Confirmed

AMD has confirmed that its highly anticipated Radeon AI Pro R9700 graphics card will reach retail markets on October 27, with pricing starting at $1,299, according to reports from company executives. The announcement came via social media from David McAfee, AMD’s vice president and general manager of Ryzen CPU and Radeon graphics, who stated that the GPU represents a significant offering for AI developers seeking local development capabilities.

by Megan Carter
FinanceInfrastructureTechnology

R150 Million Smart Utilities Partnership Targets Underserved South African Businesses

A strategic partnership between investment firms ALT Capital Partners and New GX Capital has launched a R150-million smart utilities initiative. The project targets small and medium enterprises in historically underserved communities with integrated utilities management solutions combining technology and innovative funding.

Major Investment in Smart Utilities Infrastructure

Investment firms ALT Capital Partners and New GX Capital have reportedly formed a strategic partnership to launch a R150-million smart utilities and infrastructure initiative, according to recent reports. The collaboration, facilitated through ALT Capital Partners’ REimagine Fund 1 and New GX Capital-funded Airnergize Ventures, focuses on early-stage disruptive utilities management businesses with significant scalability potential.

by Tyler Brooks P.E
Arts and EntertainmentManufacturing

Manufacturing AI Deployment Success Hinges on Strategic Data Preparation

Manufacturers possess vast data streams from machines and sensors, yet struggle to extract actionable insights. Learn how structured data preparation through MES enables successful, scalable AI deployment that drives real operational value.

In today’s competitive manufacturing landscape, organizations are sitting on mountains of data generated from every corner of their operations. From sensor networks monitoring equipment performance to production line outputs, the volume of available information continues to grow exponentially. However, the journey from raw data to actionable intelligence remains challenging for many facilities. The promise of artificial intelligence to transform this data into operational excellence is undeniable, but successful implementation requires more than just advanced algorithms.

The critical differentiator between successful and failed AI initiatives lies in the foundational data preparation phase. Without clean, contextualized, and properly structured data, even the most sophisticated AI models will struggle to deliver meaningful insights. This is where Manufacturing Execution Systems (MES) become indispensable, serving as the bridge between disconnected data sources and AI-ready information architectures that support true scalability.

by Megan Carter