KnuEdge Accelerates Neural Computing With Introduction of KNUPATH LambdaFabric Processor Technology

SAN DIEGO, CA--(Marketwired - Jun 6, 2016) - KnuEdge Inc., a neural technology innovation company that launched today, introduced its KNUPATH LambdaFabric processor technology enabling ground-breaking scalability, latency and workload performance in next-generation data centers. With a fundamentally different architecture than legacy products, KNUPATH can operate alone or be integrated with other devices, and it is available now to both end customers and technology vendors seeking to create data center neural computing capabilities to support advancements in machine learning, IoT and signal processing. "Many of today's CPUs, GPUs and FPGAs force system designers to either create workarounds with last-generation chip sets or reduce their requirements for advanced-compute projects," said Dan Goldin, Founder and CEO of KnuEdge. "After ten years of stealth development and rigorous testing, LambdaFabric enters the market as mature technology which enables system designers to meet the most demanding requirements now, and also helps them rethink what is possible with neural computing in the future." As evidenced by recent announcements such as Google's Tensor Processing Unit, there is increasing industry interest in targeted processor acceleration for machine learning and other growing workloads. KNUPATH LambdaFabric is inherently designed to scale up to 512,000 devices and beyond, and offers rack-to-rack latency of only 400 nanoseconds, approaching half the latency of existing high speed interconnects.