Welcome!

News Feed Item

Ersatz Labs Launches First GPU Platform for Deep Learning With Cloud- and Appliance-Based Technology

Ersatz Labs Easy-to-Use GPU Platform Provides State-of-the-Art Deep Learning Algorithms and Techniques That Can Be Applied to the Massive Amounts of Data Available Today

SAN FRANCISCO, CA -- (Marketwired) -- 06/11/14 -- Ersatz Labs, the company behind the deep learning platform Ersatz™, today announced the out-of-beta launch of its flagship product. Ersatz is the first deep learning platform and is available either as a cloud service or as a deep learning "appliance", a combination of neural network hardware and software geared toward large enterprises. Companies can now use Ersatz to build and deploy neural networks so they can benefit from recent breakthroughs in the field without hiring a fleet of neural network experts.

Deep learning involves teaching a neural network (a software construct) to learn from data in a way that is architecturally similar to the brain. Teaching these neural networks -- and getting them to work correctly -- is difficult, and the people who know how to do it are rare. Tech giants are already investing hundreds of millions of dollars acquiring companies and teams of deep learning researchers as they compete to turn the mountains of data they generate into a durable competitive advantage.

In contrast, Ersatz automates and simplifies many deep learning tasks, hiding the complex machinations of the neural network behind an easy-to-use web interface and API.

A typical use case starts with a company deciding what kind of problem they want to solve. For example, they might want to predict a number in the future (eg. sales or inventory numbers), a score for how likely it is that something will happen (eg. clicking on an ad or "liking" a song), or the identification of an object in a picture (eg. a face or a pedestrian). After choosing a business specific objective, a company collects historical data related to the problem at hand, uploads this data, and instructs Ersatz to learn from it. After a "training" period during which the neural network "learns" from your data, Ersatz will be able to make predictions about future results based on the examples you showed it.

Behind the scenes, Ersatz uses specialized Graphics Processing Units (GPUs) to crunch numbers up to 40x faster than their CPU-based counterparts. Because video games and learning machines use much of the same types of math to function, GPUs have become practically essential for effective deep learning.

As a cloud-based solution, Ersatz charges companies a per-minute usage fee whenever Ersatz is being "trained". For companies preferring unlimited usage and greater control, Ersatz offers its deep learning appliance. This solution includes hardware (specialized "GPU" number crunchers), the same Ersatz software as the cloud version, and the Ersatz source code so it can be audited and integrated more deeply into customers' products.

While neural networks have been in existence since the 60s, a variety of factors have coalesced to put deep learning in a position where it has the opportunity to shape the field of machine learning for many years to come. First, the advent of the internet means there's more data available than ever before and companies are increasingly using it to grow their businesses. Meanwhile, algorithmic improvements to neural networks ("deep learning") have drastically improved their performance on various types of problems so they are now state of the art in several domains. Finally, the application of the graphics processing units to neural network training delivered a 40x speedup over alternatives, making neural networks at least 40x as attractive as before.

"Machine learning has reached a major inflection point thanks to deep learning. Making this technology available with a platform like Ersatz will open up a whole new class of intelligent software," said Dave Sullivan, co-founder and CEO, Ersatz Labs. "We're a long way from the type of machine intelligence we see in movies, but we're a short way from some truly amazing applications that will only increase the importance and impact of data in our lives. I see neural computing -- and deep learning specifically -- as a major competitive advantage for companies in the near term. Long term, the technology will become ubiquitous."

With today's launch, Ersatz Labs emerges from a year-long beta during which over 2200 customers signed up to use the platform. Users come from a range of industries: algorithmic traders trying to understand financial markets, medical researchers looking to analyze medical scans, and energy companies looking to analyze massive quantities of seismic data, among others.

About Ersatz Labs

Ersatz Labs provides a deep learning platform that is accessible and easy-to-use for businesses and researchers. The technology is available in the cloud or as an appliance and brings the power and sophistication of neural networks to the masses. Ersatz Labs is a TiE50 start up winner for 2014. For more information, visit www.ersatzlabs.com.

Images available: https:[email protected]/sets/72157644943629803/

Media Contact:
Erica Zeidenberg
Hot Tomato Marketing
925-631-0553
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Transformation’ demands rapid delivery and continuous iteration of new competitive services via multiple channels, which in turn demands new service delivery techniques – including DevOps. In this power panel at @DevOpsSummit 20th Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, panelists examined how DevOps helps to meet the de...
"Loom is applying artificial intelligence and machine learning into the entire log analysis process, from start to finish and at the end you will get a human touch,” explained Sabo Taylor Diab, Vice President, Marketing at Loom Systems, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
In the world of DevOps there are ‘known good practices’ – aka ‘patterns’ – and ‘known bad practices’ – aka ‘anti-patterns.' Many of these patterns and anti-patterns have been developed from real world experience, especially by the early adopters of DevOps theory; but many are more feasible in theory than in practice, especially for more recent entrants to the DevOps scene. In this power panel at @DevOpsSummit at 18th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelists discussed...
A look across the tech landscape at the disruptive technologies that are increasing in prominence and speculate as to which will be most impactful for communications – namely, AI and Cloud Computing. In his session at 20th Cloud Expo, Curtis Peterson, VP of Operations at RingCentral, highlighted the current challenges of these transformative technologies and shared strategies for preparing your organization for these changes. This “view from the top” outlined the latest trends and developments i...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
After more than five years of DevOps, definitions are evolving, boundaries are expanding, ‘unicorns’ are no longer rare, enterprises are on board, and pundits are moving on. Can we now look at an evolution of DevOps? Should we? Is the foundation of DevOps ‘done’, or is there still too much left to do? What is mature, and what is still missing? What does the next 5 years of DevOps look like? In this Power Panel at DevOps Summit, moderated by DevOps Summit Conference Chair Andi Mann, panelists loo...
"When we talk about cloud without compromise what we're talking about is that when people think about 'I need the flexibility of the cloud' - it's the ability to create applications and run them in a cloud environment that's far more flexible,” explained Matthew Finnie, CTO of Interoute, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
No hype cycles or predictions of zillions of things here. IoT is big. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. In his session at @ThingsExpo, Jay Mason, Associate Partner at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He discussed the evaluation of communication standards and IoT messaging protocols, data analytics considerations, edge-to-cloud tec...
@DevOpsSummit at Cloud Expo taking place Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center, Santa Clara, CA, is co-located with the 21st International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is ...
The financial services market is one of the most data-driven industries in the world, yet it’s bogged down by legacy CPU technologies that simply can’t keep up with the task of querying and visualizing billions of records. In his session at 20th Cloud Expo, Karthik Lalithraj, a Principal Solutions Architect at Kinetica, discussed how the advent of advanced in-database analytics on the GPU makes it possible to run sophisticated data science workloads on the same database that is housing the rich...
When growing capacity and power in the data center, the architectural trade-offs between server scale-up vs. scale-out continue to be debated. Both approaches are valid: scale-out adds multiple, smaller servers running in a distributed computing model, while scale-up adds fewer, more powerful servers that are capable of running larger workloads. It’s worth noting that there are additional, unique advantages that scale-up architectures offer. One big advantage is large memory and compute capacity...
What's the role of an IT self-service portal when you get to continuous delivery and Infrastructure as Code? This general session showed how to create the continuous delivery culture and eight accelerators for leading the change. Don Demcsak is a DevOps and Cloud Native Modernization Principal for Dell EMC based out of New Jersey. He is a former, long time, Microsoft Most Valuable Professional, specializing in building and architecting Application Delivery Pipelines for hybrid legacy, and cloud ...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
Artificial intelligence, machine learning, neural networks. We’re in the midst of a wave of excitement around AI such as hasn’t been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. Will this time be different? Most likely. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Furthermore, the funding and research going into AI now comes from a wide range of com...