AMD targets industrial edge AI with new Ryzen embedded chips built for real-time inference
AMD has launched its Ryzen AI Embedded P100 Series processors, delivering scalable and efficient AI compute (AI-on-Chip) for industrial and…
AI inference
Why the future of AI inference lies at the edge
By Stephane Henry, Group VP of Edge AI Solutions at STMicroelectronics, AI is becoming a transformative force shaping our everyday…
Gcore adds NVIDIA Dynamo to boost GPU efficiency and cut AI inference latency
Edge AI solutions provider Gcore has integrated NVIDIA Dynamo into its AI inference solutions, offering up to 6x higher GPU…
AI inference moves closer to the grid as smaller data centers take shape
EPRI, NVIDIA, Prologis and InfraPartners have revealed they are working together to create smaller scale (5-20MW) distributed data centers closer…
Nscale
Nscale is the Hyperscaler engineered for AI, offering high-performance compute optimised for training, fine-tuning, and intensive workloads. From our data…
Where AI inference will land: The enterprise IT equation
By Amir Khan, President, CEO & Founder of Alkira For technology leaders in the enterprise, the question of where compute…
Groq
Groq is the inference infrastructure that powers AI with the speed and cost it requires. Founded in 2016, the company…
SoftBank’s $4B DigitalBridge deal signals power play for distributed AI and edge infrastructure
SoftBank announced the acquisition of DigitalBridge Group for $4 billion to enhance AI infrastructure capabilities. DigitalBridge focuses on digital infrastructure,…
Cisco launches Unified Edge Platform to tackle AI’s on-site compute bottleneck
Cisco has unveiled the Unified Edge Platform, combining compute, networking, storage, and security to power real-time AI inferencing and agentic…
Submer founder launches InferX to tackle AI’s power and latency problem
InferX, a new company driving the speed and power to achieve “Age of Intelligence”, the next phase in the life…
