Gamers camp out for chance to buy coveted NVIDIA GeForce RTX 30 graphics card
"So, I was here at 2 a.m. so it was about ... what time is it? I haven't even checked," said Brian Hurtado.
And Hurtado wasn't even close to the first person in line. People started lining up at the Cary Crossroads Best Buy on Tuesday afternoon, all waiting to snag an NVIDIA GeForce RTX 30 series graphics card.
"It's really hard to get your hands on one and there's scalpers selling them for thousands of dollars," said Ali Fahmy, who also waited in line.
The coveted card enhances graphics for gamers or other applications on your PC. And it'll cost you a pretty penny, more than $1,000.
"Well he's been searching for a card for a really long time. Made some bids," Heather Greenbaum said of her son.
Dorian Greenbaum added: "The 1060 is kind of the lower end, but I guess I'll take that,"
Only 150 lucky shoppers walked out with the prize. But for those who walked out with a bag in hand, it was worth the wait.
"Tired, tired of waiting. It's hot. I've been waiting outside all day. But I'm excited. I can't wait to get home and try it out," Hurtado said.
Only three Best Buy stores in the state received the graphics card; other than Cary, Fayetteville had the only store in central North Carolina to get some of the limited stock.
Nvidia jobs in Raleigh, NC
Principal Site Reliability Engineer - 100% Remote
$100k - $250k
...Techstars, and the same folks behind SendGrid, Microsoft Speech, & FlowRoute, Bixby. In addition, we count Twilio, Google Cloud & Nvidia as our technical partners. We operate at the forefront of ML/NLP!!We are actively seeking a Senior / Principal SRE to empower our entire...
Senior Game Console Developer Tools Engineer
...video games to life? Do you want to work with a fast, agile, and experienced team? Are you ready to move at the speed of light? NVIDIA is looking to hire a deeply technical, creative and hands-on software engineer to pioneer the next generation of Graphics Developer...
Cloud AI Media Service Engineer
...Transfer Learning, and demonstrable skills developing and deploying NN • Conversational AI development/deployment experience a plus • NVIDIA Deepstream, Maxine, RIVA, Clara etc. experience desired • H.264 video codec integration, tuning, and enhancement is a plus •...
Computer Vision Research Internship
...scale computer vision framework on the cloud; or performance optimization using GPUs, parallel computing, or embedded devices such as NVIDIA’s TX2.Required Qualifications:~Ph.D. students in related fields, including computer vision, machine learning, multimedia,...
Inside Sales, Networking Business UnitContact Gary
Every day, as the leader of Inside Sales for the Networking Business Unit at NVIDIA, Gary sees firsthand, the challenges of our profession and he is dedicated to helping not only overcome them but to turn them into advantages. He brings this knowledge, perspective, and commitment to the role of Chapter President. Gary has held management positions in a number of software companies throughout his career.
Gary is a dynamic Sales Executive has proven success in developing, building and training outside and inside sales organizations as well as extensive experience establishing national and international channel partners and resellers.
Successfully developed and implemented new product sales programs and developed and implemented distribution channels for specialty high tech product lines. Proven ability to hire, train and motivate high performance sales teams. A reputation as a strong leader capable of motivating others to maximize productivity.
Gary's vision to grow the Raleigh-Durham Chapter into one of the most popular AA-ISP Chapters in the nation.
ASIC Verification Engineer - New College Grad
13 days ago
We are now looking for an ASIC Verification Engineer.NVIDIA is seeking a skilled ASIC Verification Engineer to verify the design and implementation of the world's leading GPU's. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.What you'll be doing:As a Verification Engineer at NVIDIA, you will verify the design and implementation of the industry's leading processor for deep learning, gaming, HPC and supercomputing.In this position, you will be working on verifying a complex core ASIC design in a UVM testbench using advanced verification methodologies. You are expected to understand the design and verify its correctness.Depending on the stage of the project, the job could involve test-planning, test-bench architecture, test-bench coding, coverage writing and closure, debugging among others.What we need to see:You are pursuing a Bachelor or Masters degree in EE or CS.Exposure to verification languages (System Verilog or equivalent) and methodologies (UVM or equivalent) is a bonus.Experience with Object Oriented programming (C++) and some exposure to Perl and/or Python.Background with high-speed IO protocols like PCIE/CXL are a bonus.Good debugging and problem-solving skills.Strong communication and interpersonal skills are required.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative, autonomous and looking for the next challenge in your career? If so, we want to hear from you.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Counting cars was once a job in Raleigh — now an AI does it
Jul 15, 2020 | STATESCOOP
Raleigh, North Carolina, has turned to machine learning to improve mobility and urban planning in the face of a “deluge of data” that the fast-growing capital city has acquired over the last several years, according to city GIS and emerging technology manager James Alberque.
Speaking at an virtual conference hosted this week by the mapping technology company Esri, Alberque said the city of 460,000 has gone from contracting people to sit at intersections and count cars to counting traffic with machine-learning software in real time, supplying policymakers with more accurate data to manage the city’s traffic. The new capability, driven by technology from Esri and the video graphics company Nvidia, spurred the city to deploy an additional 500 traffic cameras on signal poles this year, as well as outfit garbage trucks with cameras to record traffic as they move throughout the city.
Raleigh grew by more than 50,000 people between 2010 and 2016, Alberque said, growth that provided the city an opportunity to process an unprecedented number of data points.
“Whether it be a scooter or a streetlight or a building or a vehicle, more and more everyday, those assets are being instrumented and reporting data to the city,” Alberque said.
Before the Raleigh began using software to record traffic and turn it into data, it relied on either in-person contractors to count cars, or GoPro cameras attached to signal poles. The agency then sent the data to third-party services to analyze off-site how many cars had passed through the city’s intersections in a given time frame, a process Alberque said was expensive and inconvenient.
To prove the process could be improved with AI, Alberque’s team outfitted a Raspberry Pi chip with a camera to record raw footage of traffic at an intersection and ran the video through TensorFlow, Google’s open-source machine-learning platform, which the counted cars.
“We have hundreds of cameras around the city that have traditionally been used to visually support traffic management, congestion management, event management,” Alberque said.
The program worked, he said, but it was only a proof of concept that had city employees “geeking out” over the technology. For Raleigh to begin outfitting its existing traffic cameras with machine-learning technology, he said, it needed a solution that could be scaled up to meet the needs of a large enterprise.
Alberque and Peter Sherman, a city engineer who specializes in geographic information systems, began working with Esri and Nvidia to use DeepStream, a software development kit developed by Nvidia designed for the creation of AI-powered video analytics tools. The city also built a dashboard to visualize where traffic is growing or ebbing. And not having to pay contractors to analyze the footage has proven to be a “huge cost savings” to the city, Alberque said.
The use of AI is a growing trend in city governments seeking to improve roadway safety and reduce congestion, including Washington, D.C., which awarded a transportation research team $25,000 in February 2019 to test how CCTV cameras could help collect traffic data. In 2018, Detroit debuted a series of AI-powered tools in five intersections across its downtown region to measure how pedestrians and riders used sidewalks, traffic signals and road signage.
-In this Story-Artificial Intelligence (AI), Esri, machine learning, next decade, Nvidia, Raleigh, traffic data
Nvidia Service Repair Centers
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Nvidia Service Centers in Raleigh
Full list of all Nvidia Service Repair Centers in Raleigh, North Carolina. All companies with the best technicians in the repair and servicing of Nvidia products.
Below are listed addresses, telephone number, fax and opening days of the Nvidia Service Repair Centers in Raleigh, North Carolina.
Nvidia technical support center in Raleigh, North Carolina
Advanced Online & Onsite Computer Repair
125 Winners Cir
A & G Machining LLC
333 Technical Ct
Accurate Machine & Tool LLC
5124 Trademark Dr
Geeks in Minutes Computer Repair
814 S Salisbury St
Geeks Mobile-Computer Repair
100 E Morgan St
OLDSCHOOLJAMZ COMPUTER REPAIR
4210 Lynn Point Ln #APT K
Affordable Computer Repair
3334 Capital Blvd
Raleigh Computer Repair
4325 Glenwood Ave
Mobile Computer Repair Service
517 Oak Run Dr
Geeks Computer Repair
13200 Strickland Rd
Support for Nvidia products
Zip Code: 27601
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