Gyrfalcon Launches AI-X: Full-Stack Solution for Edge-AI Development
Optimized Turnkey HW-SW AI-Chip Solution Ideal for Small and Medium Enterprises
MILPITAS, Calif., Nov. 25, 2020 — Gyrfalcon Technology (GTI) today announced AI-X™, a new full-stack solution for AI development ideal for small and medium enterprises (SMEs). Popular applications for AI-X include edge-AI vision devices, consumer electronics, AI-camera sensors and automotive.
AI-X benefits SMEs by accelerating AI product turnaround time, maximizing on-chip resource utilization, minimizing CPU runtime, boosting performance efficiency, and reducing power consumption by leveraging GTI Networks (GNet™) and holistic HW-SW optimization.
The AI-X product information is available here.
Powered by Gyrfalcon high-performing accelerator chips, AI-X delivers chip-level optimization solutions for realizing deep neural network development on edge devices. AI-X provides an efficient HW-SW design framework for developing CNN-based models on GTI’s chips.
“For smart devices — such as IoTs, smartphones, autonomous vehicles and many other platforms and end-point devices — to reach their maximum potential edge AI co-processing is imperative,” said Dr. Manouchehr Rafie, Vice President of Advanced Technologies at Gyrfalcon. “AI-X combines an end-to-end HW and SW solution for quickly deploying your data, tasks, AI custom model, algorithm design and chip implementation challenges on the AI devices equipped with the GTI high-performing chips. These AI edge devices benefit from the AI-X higher performance, improved privacy, reduced bandwidth and latency, less CPU computational load, efficient energy use and less BOM cost.”
AI-X Benefits:
- Vision-based solution for AI chip design challenges
- Customized model conversion (MDK)
- Minimizing CPU utilization/runtime (Over 3x CPU Saving)
- Maximizing on-chip resource utilization (>90%)
- Enhanced performance efficiency (by 5x)
- Reduced latency during inferencing
- Chip-level optimization & model pruning
- Quantization-aware training
- Per-layer quantization and parameter optimization
Powered by GTI Accelerator Chips:
- Unmatched TOPS & power efficiency
- Integrated on-chip memory
- Scalable multi-chip architecture
- Executes a large number of calculations in Tensor operations
About Gyrfalcon Technology, Inc.
Gyrfalcon Technology Inc. (GTI) is the world’s leading developer of high-performance AI Accelerators that use low power, packaged in low-cost and small-sized chips. Founded by veteran Silicon Valley entrepreneurs and Artificial Intelligence scientists, GTI drives adoption of AI by bringing the power of cloud Artificial Intelligence to local devices, and improves Cloud AI performance with greater performance and efficiency, providing the utmost in AI customization for new equipment and a path to AI upgrade to customers. Visit on the web.
Related Semiconductor IP
- RISC-V AI Acceleration Platform - Scalable, standards-aligned soft chiplet IP
- AI IP Core
- High-Performance Memory Expansion IP for AI Accelerators
- High-performance AI dataflow processor with scalable vector compute capabilities
- 224G SerDes PHY and controller for UALink for AI systems
Related News
- Optima Launches New IC Security Verification Solution
- Inuitive launches NU4100, expanding its Edge-AI Vision-on-Chip IC portfolio
- Synopsys Extends Synopsys.ai EDA Suite with Industry's First Full-Stack Big Data Analytics Solution
- SandBox Semiconductor Adds Hybrid Metrology Capabilities to Industry's Leading Physics-based, AI-enabled Process Optimization Platform, Creating the First Software Solution to Holistically Address Process Development Challenges
Latest News
- CEA-Leti and Soitec Announce Strategic Partnership to Leverage FD-SOI for Enhanced Security of Integrated Circuits
- BOS Joins VESA and UCIe to Advance Global Standards in Display and Chiplet Technology
- Marvell Develops Industry’s First 2nm Custom SRAM for Next-Generation AI Infrastructure Silicon
- Arteris Accelerates AI-Driven Silicon Innovation with Expanded Multi-Die Solution
- Xylon Celebrates 30 Years of Innovation in Embedded Electronics