Gigantor Launches the Next Evolution of AI Acceleration
- S&P 500, Dow end at record highs as weak jobs data eases rate worries
- U.S. Added Only 266,000 Jobs in April, Well Below Estimates
- Roku (ROKU) Surges After Crushing Profit Estimates to Prompt an Upgrade to 'Buy' at Loop Capital
- Dollar broadly weaker after U.S. jobs data disappoint
- Square (SQ) Tops Q1 EPS by 25c
Get instant alerts when news breaks on your stocks. Claim your 1-week free trial to StreetInsider Premium here.
Startup, Gigantor Technologies Inc., is revolutionizing artificial intelligence's high performance
MELBOURNE, Fla.--(BUSINESS WIRE)-- Gigantor Technologies Inc. is set to disrupt the market with its multiple patent-pending revolutionary technology, GigaMACS. Co-founders Don Gaspar, CEO, and Mark Mathews, CTO, formed Gigantor after analyzing the market’s existing approach to acceleration using stock hardware solutions or imprecise model altering strategies.
GigaMACS optimizes your machine learning model by converting it to a synchronal parallel circuit that runs as fast as the input pixel rate while minimizing latency. Most importantly, GigaMACS does not require changes to the model, and it will accelerate your convolutional neural network model to new heights.
“The key to maximum performance is to take the exact computation of your model and express it as an optimized, zero overhead pipelined circuit by eliminating redundancy and bottlenecks from your model,” says Mark Mathews, CTO for Gigantor.
Some solutions in the market alter portions of your AI/ML model by filtering low weighted calculations, altering the results, which may require recertification and retraining for your model to reclaim the original accuracy. In systems being used today, stock hardware solutions throw excessive memory and faster clock speeds at the problem, leading to a dead-end solution as the workload continues to increase with model complexity. GigaMACS takes your TensorFlow, Pytorch, Caffe, ONNX, or other format model and converts it for you into a highly optimized circuit that runs faster and reduces latency to under a millisecond. Now, you can run your model against 4K or even 8K video in real-time.
Need proof our concept works? Watch this short video.
About Gigantor Technologies Inc.
Don Gaspar and Mark Mathews founded Gigantor Technologies to boost neural network performance into real-time frame rates for complicated, high load Machine Learning and Artificial Intelligence models. Our first product, GigaMACS, takes your existing TensorFlow or other neural network format models and converts it to a high-performance circuit to use with existing FPGAs or custom ASICs. GigaMACS will accelerate your neural network model to keep up with your high-speed input. Have a fast full frame camera, radar, lidar? GigaMACS will make your model keep up with it without altering your results.
About Don Gaspar
The CEO, Don Gaspar, graduated with a B.S. in Physics from CSU Long Beach, an M.B.A. from the Graziadio School at Pepperdine University, and an M.S. in Distributed Systems from DePaul University. His career includes being a CTO for ISGN, Yapstone, and ImproveNet. Most notably, Don was an engineering lead who worked on the Mac OS, A/UX (Apple Unix), the Finder, and the PowerPC proof of concept at Apple Computer.
About Mark Mathews
The CTO, Mark Mathews, has developed complex and innovative IP for more than 30 years. Mark joined Microsoft in 1980 as their 17th employee and originated MultiPlan, which is better known today as Excel. Specializing in recovery of failed hardware and software projects, he also designed massively parallel machine vision circuits implementing custom and standard algorithms (e.g., LKT) as synchronal pipelines for maximum throughput at minimal power. Mark also designed and implemented proprietary tools to reduce license costs and built world-wide collaborative systems for ASIC production.
Source: Gigantor Technologies Inc.
Serious News for Serious Traders! Try StreetInsider.com Premium Free!
You May Also Be Interested In
- EML & Fupay Join Forces To Launch Europe’s First Responsible BNPL-as-a-Service Product Attached To A Virtual Card
- Health Care Unions Launch Nursing Week with Urgent Plea of Support for Registered Practical Nurses
- Partner Communications To Release First Quarter Results For 2021 On May 26, 2021
Create E-mail Alert Related CategoriesBusiness Wire, Press Releases
Sign up for StreetInsider Free!
Receive full access to all new and archived articles, unlimited portfolio tracking, e-mail alerts, custom newswires and RSS feeds - and more!