Avant Technologies, Inc. (OTCQB: AVAI) (“Avant” or the “Company”), a leading innovator and enabler of AI infrastructure technology, announces its engagement with Wired4Tech, a renowned AI infrastructure consulting firm.
As part of its existing technology services agreement with Wired4Tech, Avant Technologies has engaged Wired4Tech to conduct comprehensive performance benchmarking of a next-generation AI cloud server that Avant is evaluating for future use in its AI data center cloud infrastructure.
Wired4Tech’s performance benchmarking will encompass a range of crucial metrics, including response time, throughput, CPU and memory usage, disk I/O, network latency, and error rates. These metrics are essential for assessing the server’s ability to handle complex AI workloads efficiently and reliably. Additionally, Wired4Tech will measure the server’s power consumption and anticipated cost savings.
Response time will be evaluated to measure the speed at which the server responds to various actions, providing insight into its overall responsiveness. Throughput analysis will assess the server’s data transfer capabilities, considering factors such as file size, cached or uncached content, and available network bandwidth.
Furthermore, CPU and memory usage will be closely monitored to gauge the server’s processing power and memory management efficiency. Disk I/O performance will be evaluated to ensure smooth data access and storage operations, while network latency measurements will provide valuable information on the server’s communication speed with external systems.
“We are excited to engage Wired4Tech to benchmark the performance of an innovative, next-generation AI server,” said William Hisey, Chief Executive Officer, at Avant Technologies. “By conducting rigorous benchmark testing of this promising server technology, we expect to validate its expected performance and cost-saving benefits.”
The results of the benchmark testing will enable Avant Technologies to further execute on its AI infrastructure business strategy.
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