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2 hours ago
$NVDA It looks like a potential head and shoulders pattern is forming on the daily chart...
By: Peter DiCarlo | December 3, 2024
• Hope I'm wrong about this one, $NVDA.
It looks like a potential head and shoulders pattern is forming on the daily chart.
The BX Trender flipping from to suggests a short-term push to at least $144, but with the weekly BX Trender still, I don’t think this move will gain enough momentum to break into higher highs or reach $160.
Instead, it seems likely we could see an early rejection and a return to test the $130 level. If that retest happens, it would confirm the head and shoulders pattern, making a drop toward $120 highly probable.
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DiscoverGold
2 days ago
Nvidia $NVDA is the best performing stock in the S&P 500 over the last 5, 10, 15, and 20 years
By: Charlie Bilello | December 1, 2024
• Nvidia is the best performing stock in the S&P 500 over the last 5, 10, 15, and 20 years. $NVDA
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Konaploinks
2 days ago
NVDA and IONQ
IonQ to Advance Hybrid Quantum Computing with New Chemistry Application and NVIDIA CUDA-Q
November 18 2024 - 1:30PM
Business Wire
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IonQ uses the NVIDIA CUDA-Q platform alongside IonQ Forte to demonstrate an end-to-end application workflow
The work reaffirms IonQ’s focus on making quantum acceleration as simple and ubiquitous as GPU acceleration for on-prem and hybrid deployments
IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, announced today the completion of an industry-first demonstration of an end-to-end application workflow that leverages the NVIDIA CUDA-Q platform alongside IonQ’s leading quantum computing hardware.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20241118387486/en/
IonQ to Advance Hybrid Quantum Computing with New Chemistry Application and NVIDIA CUDA-Q (Graphic: Business Wire)
IonQ to Advance Hybrid Quantum Computing with New Chemistry Application and NVIDIA CUDA-Q (Graphic: Business Wire)
Showcased via a joint presentation at SC24, the application demonstrates the seamless integration of the core workflow behind several hybrid quantum-classical approaches to calculate the specific properties of a molecule’s electronic structure. These approaches have potential relevance in many chemistry-focused commercial applications, such as identifying how drug molecules might interact with specific proteins in the human body. The achievement captures IonQ’s interest in developing solutions that combine the benefits of quantum processing units (QPUs) with the accelerated, heterogeneous computing capabilities of the NVIDIA CUDA-Q platform.
“IonQ is building on its approach of accelerating AI, scientific compute, and other supercomputing workloads with quantum hardware – enabling entirely new ways to approach previously unsolvable problems,” said Dean Kassmann, SVP of Engineering & Technology at IonQ. “Today’s molecular modeling demonstration illustrates why CUDA-Q is a great platform for achieving seamless integration and top-tier performance with our leading quantum hardware.”
Since 2023, IonQ has supported NVIDIA CUDA-Q, a powerful, unified, open-source software stack. CUDA-Q is a hybrid quantum-classical computing platform that enables the integration and programming of QPUs and GPUs in a single workflow. This demonstration was performed using a combination of IonQ Forte, the IonQ Hybrid Services suite, CUDA-Q, and NVIDIA A100 Tensor Core GPUs, which can be deployed to cloud and on-prem environments.
The demonstration at SC24 showcases a novel way to interrogate the properties of specific molecules in a resource-efficient way that has relevance in larger application workflows pertaining to pharma and other commercial domains. The work also sets the stage for IonQ to accelerate even more powerful ways to model molecular dynamics for future biopharmaceutical applications.
“Useful quantum applications will need to draw on both quantum hardware and AI supercomputing resources,” said Elica Kyoseva, Director of Quantum Algorithm Engineering, NVIDIA. “The CUDA-Q platform is allowing researchers and developers to explore these paradigms by accessing NVIDIA accelerated computing alongside IonQ’s quantum processors.”
Today’s news reaffirms IonQ’s commitment to developing hardware and software that leverages a combination of quantum and classical computation to enable efficient, performant, robust solutions that can be deployed at commercial scale.
IonQ’s Hybrid Services suite makes designing and deploying quantum-accelerated applications that take advantage of IonQ’s leading quantum hardware easier than ever. It achieves this via a flexible, easy-to-configure hybrid infrastructure, workflow management, and scheduling for cloud or on-prem installations. Further, it has powerful tools to help application developers explore new applications and use cases, such as prebuilt solvers for problem classes like quadratic optimization and graph partitioning, and out-of-the-box support for a variety of common programming models, including NVIDIA CUDA-Q quantum kernels.
To learn more about IonQ and its latest system news and business developments, visit https://ionq.com/.
About IonQ
IonQ, Inc. is a leader in quantum computing that delivers high-performance systems capable of solving the world’s largest and most complex commercial and research use cases. IonQ’s current generation quantum computer, IonQ Forte, is the latest in a line of cutting-edge systems, boasting 36 algorithmic qubits. The company’s innovative technology and rapid growth were recognized in Fast Company’s 2023 Next Big Things in Tech List and Deloitte’s 2023 Technology Fast 500™ List, respectively. Available through all major cloud providers, IonQ is making quantum computing more accessible and impactful than ever before. Learn more at IonQ.com.
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4 days ago
NVDA (NVIDIA) Seasonality past 11 years
By: TrendSpider | November 29, 2024
• NVDA (NVIDIA)
While the S&P 500 shines in December, NVIDIA tends to stumble. Over the past 10 years, December has been NVDA’s weakest month, with a measly 40% win rate and an average return of -1.88%. Despite posting record-breaking Q3 earnings, the chipmaker has traded mostly flat in November, keeping pressure on as it enters a historically challenging period for performance.
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