Falkonry Unveils GPU-Based, High-Speed Time Series Anomaly Detection Application

September 22, 2022

CUPERTINO, Calif., Sept. 22, 2022 — Falkonry today announced an automated anomaly detection application called Falkonry Insight which operates on high-speed sensor time series data. Insight is the newest addition to Falkonry’s Time Series AI Suite to drive higher operational reliability and yield, enabling operations and maintenance teams to make smarter decisions using existing data from machines and processes.

All enterprises, large and small, automate their core processes and operations through a complex orchestration of hundreds to thousands of individual machines and systems. These systems generate massive amounts of time series data containing signs of deteriorating machine health and product quality. Until now, extracting value from this data has been too expensive and slow for most, causing many digital transformation programs to stall at the starting line.

Falkonry Insight allows operations teams to virtually inspect every electrical and mechanical data point to automatically detect new and emerging hotspots. It leverages NVIDIA GPU-powered accelerated computing and the NVIDIA AI platform to process terabytes of data at plant scale to surface machine and process anomalies without the need for any manual intervention.

Falkonry Insight organizes detected anomalies by the affected components of the plant, the severity of the anomaly, and the main contributing factors. It also provides a collaborative reporting environment where behaviors can be confirmed and cataloged by operations and maintenance teams using rich time series visualization capabilities.

In order to operate Falkonry Insight in real time at massive scale, Falkonry has developed a unique deep learning architecture suitable for sensor data and collaborated with NVIDIA to engineer an optimized TensorRT-based inference runtime capable of exploiting the full capacity of NVIDIA GPU products. The efficiency of this solution, in combination with Falkonry’s advanced data streaming infrastructure, allows for extremely cost-effective installations. A factory-scale edge-based system which might have required dozens of dual-socket servers to support a CPU-based inference pipeline can now be provisioned with a modest three-node cluster incorporating a single NVIDIA A10 Tensor Core GPU.

“Autonomous industrial AI systems that can be directly used and managed by operations and maintenance teams are essential for realizing the benefits of smart manufacturing. From years of experience working with smart factories, Falkonry has been able to design such a system to dramatically change the rate of adoption across a spectrum of industries,” said Dr. Nikunj Mehta, Founder and CEO, Falkonry. “We could not have achieved this level of scale and manageability of time series AI without our collaboration with NVIDIA and are excited to continue working closely with the company.”

“Real-time AI is a critical element of the industrial metaverse, and accelerated computing is essential to surfacing the live state of physical systems from massively underutilized quantities of time series data on the shop floor,” said Piyush Modi, Industrial Business Development Lead at NVIDIA. “Falkonry’s time series AI is well positioned to benefit from NVIDIA’s investment in deep learning at the scale of entire plants and enabling highly interactive, live digital twins in NVIDIA Omniverse Enterprise for managing complex industrial operations.”

Falkonry was founded in 2012 and has served dozens of customers across manufacturing, defense and intelligence sectors. Falkonry continues to lead innovation in time series AI, holding 12 patents across the world for its advanced pattern recognition technology and has been recognized in the Forbes AI 50 list, named three times to the JMP Securities’ Efficient 50 list and twice to the CB Insights AI 100 list.

Falkonry Insight is available to our customers in Metals and Defense Operations and is designed for use directly by maintenance and operations teams. Falkonry Insight will be available to customers in Oil & Gas, Automotive, Pharmaceuticals, Chemicals, and also high security applications such as in Semiconductor Manufacturing and Power Generation starting November 1st, 2022.

About Falkonry

Falkonry, a data and AI software company produces time series AI applications to improve reliability and performance of complex asset and process operations. Utilizing Falkonry’s AI, core operations teams of manufacturers, defense organizations, and producers are improving operational productivity while also increasing their own productivity. This patented AI continuously analyzes terabytes of time series data from machines and processes to surface developing issues and explain why they happen.


Source: Falkonry

 

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire