Blaize Holdings, a leader in programmable, energy-efficient edge AI computing, unveiled the Blaize AI Platform, a purpose-built, edge-native solution engineered to efficiently and flexibly deliver multimodal intelligence for mission-critical workloads across a wide range of industries. With a focus on programmability and ease of deployment, the platform is designed to accelerate AI implementation without the complexity.
With deployments already underway across Asia, the Blaize AI Platform is redefining how organizations execute and scale AI across distributed environments. Purpose-built for complex, multimodal workloads – including video, audio, and sensor fusion – the platform delivers a powerful combination of performance, energy efficiency, and total cost of ownership, while integrating seamlessly with existing GPU-based infrastructure.
“As data becomes more complex and multi-modal, the need for scalable, hybrid AI infrastructure has never been greater,” said Dinakar Munagala, Co-founder and CEO of Blaize. “The Blaize AI Platform is already powering public safety, defense, and infrastructure projects – transforming fragmented data sources and systems into unified, responsive intelligence networks. Together with Supermicro, a global leader in energy-efficient, high-performance IT infrastructure for AI, cloud, and edge, and a growing ecosystem of ISVs and AI application providers, we’re enabling customers to deploy complete, ready-to-run AI solutions at the edge and beyond.”
Also Read: Everged Accelerates EV Charging Expansion with i-charging’s Advanced DCFC Technology
The Blaize AI Platform was built to replace passive data collection with proactive intelligence at scale. Platform highlights include:
- Multi-modal sensor fusion: Consolidates video, audio, telemetry, and more into unified insights.
- Simultaneous model execution: Processes multiple models without batching or bottlenecks.
- Comprehensive support of compact and scalable systems: Enables hybrid AI deployment across diverse environments and workloads, from rugged edge devices to workstations and rack mount servers.
- Collaborative software stack: Pre-integrated with domain-specific AI pipelines.
SOURCE: Businesswire