Issued on behalf of Avant Technologies Inc.
VANCOUVER – USA News Group – Former Google CEO Eric Schmidt believes he importance of data centers for artificial intelligence (AI) could become a matter of national security. Schmidt’s bold prediction that AI data centers will be “on military bases surrounded by machine guns,” was shared recently in an interview with Noema Magazine. The concept of an AI arms race isn’t new, as Goldman Sachs released a report late last year, highlighting how the USA and China are the world’s top AI competitors, but also collaborators. Businesses too are in an expensive AI arms race, according to the BBC, highlighting the importance for the investment community, which is witnessing rapid developments from the sector’s innovators, including from Avant Technologies Inc. (OTCQB: AVAI), Meta Platforms, Inc. (NASDAQ: META), Apple Inc. (NASDAQ: AAPL), Oracle Corporation (NYSE: ORCL), and Intel Corporation (NASDAQ: INTC).
Continuously refining its premier product, Avant AITM, Avant Technologies Inc. (OTCQB: AVAI) remains at the forefront of generative AI innovation. This sophisticated AI system is celebrated for its machine and deep learning capabilities, tailored to meet the diverse needs of various industries and applications. Recently, Avant enlisted the expertise of Wired4Tech, a renowned AI infrastructure consulting firm, to evaluate potential future uses in its AI data center cloud infrastructure.
"We are excited to engage Wired4Tech to benchmark the performance of an innovative, next-generation AI server," said William Hisey, CEO of Avant Technologies. "By conducting rigorous benchmark testing of this promising server technology, we expect to validate its expected performance and cost-saving benefits."
Under the new agreement, Wired4Tech will conduct comprehensive performance benchmarking for Avant, covering key metrics such as response time, throughput, CPU and memory usage, disk I/O, network latency, and error rates. The evaluation of response time will particularly assess how quickly the server reacts to various actions, shedding light on its overall responsiveness.
Avant believes these metrics are critical for determining the server's capability to manage complex AI workloads both efficiently and reliably. Additionally, Wired4Tech will assess the server’s power consumption and potential cost savings.
Before this update, Avant Technologies had announced a bold initiative to develop innovative, proprietary AI software designed to enhance its next-generation data centers. The company also plans to integrate AI-empowered Zero Trust Architecture (ZTA) across its data center operations and has enhanced the AvantAI™ platform to include smart, proactive monitoring and management of data centers.
For Facebook parent company Meta Platforms, Inc. (NASDAQ: META) there are several plans underway to develop new data centers, including an $800-million facility in Alabama, and a 328-acre data center in Iowa. The latest announcements are in line with Meta’s previously announced plans to potentially spend up to $37 billion on new digital infrastructure in 2024.
“We expect growth will be driven by investments in servers, including both AI and non-AI hardware, and data centers as we ramp up construction on sites with our previously announced new data center architecture,” said Susan Li, CFO of Metaearlier this year. “While we are not providing guidance for years beyond 2024, we expect our ambitious long-term AI research and product development efforts will require growing infrastructure investments beyond this year.”
Meta is revamping its data centers to better accommodate the demands of the AI era, incorporating advanced cooling and power management systems. The company has also managed to cut construction costs by 31% and halve the time required to build them.
After its data centers used more than 2.3bn kWh of electricity in 2023, Apple Inc. (NASDAQ: AAPL) is ramping up its investment in clean energy and water around the world, to supply over 18 gigawatts of clean energy and deliver billions of gallons in water benefits and savings.
The iPhone giant is stepping up its investments in solar power across the U.S. and Europe to reduce the electricity used by customers to charge and power their devices. In alignment with its broader environmental initiatives, Apple is also progressing towards its 2030 objective to restore 100 % of the fresh water it uses in high-stress locations.
“Clean energy and water are foundational to healthy communities and essential building blocks for a responsible business,” said Lisa Jackson, Vice president of Environment, Policy, and Social Initiatives for Apple. “We’re racing toward our ambitious Apple 2030 climate goal while taking on the long-term work to transform electrical grids and restore watersheds to build a cleaner future for all.”
Database giant Oracle Corporation (NYSE: ORCL) is also making big moves with plans to invest $10 billion to expand its data center footprint. Within this expansion are plans to invest more than $8 billion in Japan over the next decade, and further expansion into Italy.
“By growing our cloud footprint and providing a team to support sovereign operations in Japan, we are giving our customers and partners the opportunity to innovate with AI and other cloud services while supporting their regulatory and sovereignty requirements,” said Toshimitsu Misawa, CEO and member of the board at Oracle Japan.
As well, Elon Musk’s AI venture xAI is reportedly set to spend $10 billionOracle cloud servers, with the two companies in talks over a multi-year agreement that would make Musk’s company one of Oracle’s biggest customers.
Looking to buck the data center trend, Intel Corporation (NASDAQ: INTC) wants the AI revolution to move away from data centers and made available directly to network operators and everyday consumers. Recently Intel announced that more than 500 AI models run optimized on Intel Core Ultra Processors, the industry’s premier AI PC processor available on the market today.
"Intel has a rich history of working with the ecosystem to bring AI applications to client devices, and today we celebrate another strong chapter in the heritage of client AI by surpassing 500 pre-trained AI models running optimized on Intel Core Ultra processors,” said Robert Hallock, Intel Vice President and General Manager of AI and Technical Marketing in the Client Computing Group. “This unmatched selection reflects our commitment to building not only the PC industry’s most robust toolchain for AI developers, but a rock-solid foundation AI software users can implicitly trust."
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