Travis Atkins’ Post

In ruggedized environments, such as those found in industries like Oil & Gas and Mining, there is often a need for robust and reliable solutions that can withstand harsh conditions. Edge computing involves processing data closer to the source of data generation, which can improve efficiency, reduce latency, and enhance overall performance. Read the new blog from Global Industry Lead - @Roland Plett to find out more about how Cisco Edge Intelligence manages data at the edge of the network, allowing for faster decision-making and reduced reliance on centralized data processing while protecting data and devices at the edge to allow administrators to monitor and control edge devices efficiently in ruggedized environments. http://cs.co/6043itQI1

In ruggedized environments, such as those found in industries like Oil & Gas and Mining, there is often a need for robust and reliable solutions that can withstand harsh conditions. Edge computing involves processing data closer to the source of data generation, which can improve efficiency, reduce latency, and enhance overall performance. Read the new blog from Global Industry Lead - @Roland Plett to find out more about how Cisco Edge Intelligence manages data at the edge of the network, allowing for faster decision-making and reduced reliance on centralized data processing while protecting data and devices at the edge to allow administrators to monitor and control edge devices efficiently in ruggedized environments. http://cs.co/6046kzWfE

In ruggedized environments, such as those found in industries like Oil & Gas and Mining, there is often a need for robust and reliable solutions that can withstand harsh conditions. Edge computing involves processing data closer to the source of data generation, which can improve efficiency, reduce latency, and enhance overall performance. Read the new blog from Global Industry Lead - @Roland Plett to find out more about how Cisco Edge Intelligence manages data at the edge of the network, allowing for faster decision-making and reduced reliance on centralized data processing while protecting data and devices at the edge to allow administrators to monitor and control edge devices efficiently in ruggedized environments. http://cs.co/6044gsHsO

"#Quantum networks are pivotal in enabling quantum communication, allowing the exchange of quantum bits of information (qubits). One way to realize quantum networks is to distribute #entanglement between every pair of nodes in a network so that they can exchange qubits via quantum #teleportation. As the process suggests, such #quantumnetworks are called entanglement distribution networks. " https://lnkd.in/dterTzNq

#AI New Era Helium, a U.S. producer of industrial gases including helium and natural gas, and Sharon AI, a high-performance computing (HPC) company specializing in artificial intelligence (AI), cloud GPU compute infrastructure, and cloud storage, have announced plans to establish a joint venture. The proposed collaboration aims to design, construct, and operate a 90-megawatt net-zero energy data center in the Permian Basin. While the joint venture agreement is still under negotiation and not yet finalized, the two companies have signed a non-binding letter of intent. The agreement outlines a 50/50 partnership for developing a data center and associated infrastructure, including a 90MW power plant. The facility is expected to employ state-of-the-art technologies such as liquid cooling to support high-density Tier 3 data centers designed for AI and HPC workloads. The initiative seeks to utilize New Era Heliums 137,000-acre Pecos Slope Field in southeast New Mexico, a site already engaged in helium and natural gas production. Under the proposed terms, New Era Helium will supply natural gas to the venture through a five-year contract with options for renewal. The gas-fired power plant will also incorporate carbon capture, utilization, and storage (CCUS) technology to meet eligibility requirements for 45Q tax credits, aiming to capture approximately 250,000 metric tons of CO2 annually. Sharon AI will oversee the design, construction, and operation of the data center, leveraging partnerships with leading technology providers such as NVIDIA and Lenovo. The facility would adhere to the NVIDIA Cloud Partner standard architecture, enabling optimal performance for AI training and inference workloads. The companies anticipate the projects high-performance capabilities to attract hyperscalers and other major energy users as offtake partners, with potential for future expansion beyond the initial 90MW. Building Tier 3 Direct-to-Chip Liquid Cooling Data Centers E. Will Gray II, CEO of New Era Helium, emphasized the strategic value of the collaboration. Electricity, like helium, is a critical component in the ongoing use of cloud computing and artificial intelligence, said Mr. Gray. This joint venture allows us to transform our dry natural gas byproduct into electricity, significantly increasing its net value while diversifying our revenue streams. Wolf Schubert, CEO of Sharon AI, highlighted the ventures alignment with cutting-edge technological advancements. We are thrilled to build Tier 3 direct-to-chip liquid cooling data centers in the U.S. alongside New Era Helium. This partnership combines our expertise in high-compute data center development with their energy infrastructure capabilities, said Mr. Schubert. The proposed venture arrives as New Era Helium advances its corporate trajectory. The company recently entered into a business combination agreement with Roth CH Acquisition V Co., a special…

"#Quantum networks are pivotal in enabling quantum communication, allowing the exchange of quantum bits of information (qubits). One way to realize quantum networks is to distribute #entanglement between every pair of nodes in a network so that they can exchange qubits via quantum #teleportation. As the process suggests, such #quantumnetworks are called entanglement distribution networks. " https://lnkd.in/dterTzNq

#Quantumcomputing holds transformative potential for the oil and gas industry, tackling challenges that conventional computing struggles to address, particularly in complex simulations and optimization. "I firmly believe that quantum computing and related quantum technologies are on the brink of revolutionizing our industry in ways we have yet to fully comprehend." says Dr. Satyam Priyadarshy "The quantum revolution demands that the oil and gas and the broader energy industry rethink their approach to exponential technology and sustainability." By leveraging quantum's ability to process vast datasets and solve intricate problems, the sector can significantly enhance exploration, reservoir management, and supply chain optimization. Early investments and collaborations with quantum tech firms could yield competitive advantages, although the industry must remain patient as practical quantum applications continue to mature. Read more in detail here: https://lnkd.in/eqxpA4fv Thank you JPT #QuantumIsComing

#QuantumComputing After yesterday's post I saw today that Iberdrola is starting also to use Quantum Computing for a ten-month pilot project, with some quantum and quantum-inspired algorithms matched or outperformed the classical benchmark in order to maximize the Energy grid reliability and voltage control and thereby optimize the installation of the batteries. Iti is clear that Quantum Computing will soon cover all the business fields in order to make better use of #Data. https://lnkd.in/dPV9kmdU

To classify a system as planetary scale in terms of maintaining consensus, several factors need to be considered, including the consensus mechanism, network latency, fault tolerance, and the desired level of availability and performance. Here’s a general framework for understanding how many consumer-grade nodes might be required: 1. Consensus Mechanism Different consensus mechanisms (e.g., Proof of Work, Proof of Stake, Byzantine Fault Tolerance) have varying requirements for node participation. For instance, systems using Byzantine Fault Tolerance (BFT) typically require a higher ratio of nodes to maintain consensus under adverse conditions (e.g., node failures or malicious behavior). 2. Fault Tolerance A common rule in distributed systems is that you need at least 3f + 1 nodes to tolerate f faulty nodes. For example, if you want to tolerate up to 1/3 of the nodes being faulty (a common threshold in many BFT systems), you would need at least 4 nodes (3 functioning nodes + 1 to tolerate one fault). 3. Geographic Distribution Planetary scale implies a global distribution of nodes to minimize latency and ensure fault tolerance across different regions. To achieve this, you might consider deploying nodes across multiple continents or regions. 4. Node Count Estimation For a basic consensus model using a BFT-like mechanism: If you aim for a fault tolerance of 1 node out of every 3, you might want a baseline of 100 nodes globally to allow for potential faults and still achieve consensus. In this case, you would need 300 nodes to maintain effective consensus if you want to tolerate up to 100 nodes being potentially faulty (given a simple model). 5. Real-World Examples Systems like Bitcoin have thousands of nodes, but not all are required for consensus at all times; often, a smaller subset of active nodes reach consensus for blocks. Ethereum operates with a similar principle where not every node participates in every block validation. Conclusion For a system to be classified as planetary scale, a rough estimate could suggest needing anywhere from 100 to several hundred consumer-grade nodes (e.g., 100 to 500) to achieve a robust consensus mechanism. The exact number can vary significantly based on the specific design choices, desired fault tolerance, and consensus mechanisms employed. It’s crucial to test and adjust this based on actual network behavior and performance requirements.

Saudi Arabia’s first quantum computer on its way after Aramco, Pasqal deal Saudi Arabia is stepping into the world of quantum computing by introducing its first-ever quantum computer. Aramco, the country's energy giant, has partnered with French computing firm Pasqal to bring a 200-qubit quantum computer to Saudi Arabia in the second half of next year. The quantum computer is poised to bring high-performance information processing and will initially operate in an analog mode, with an upgrade to a more powerful hybrid analog-digital mode expected within a year. This collaboration is a testament to Saudi Arabia's commitment to contributing to the growth of the digital economy. Stay tuned for more updates on this exciting development! https://lnkd.in/dEsYmD_9 By @ arabnews Repost by Salem Bagami #SaudiArabia #QuantumComputing #DigitalEconomy