Previous year i.e., 2023 has clearly been a standout year in terms of advancements in field of AI domain. Traditionally it’s always been felt that to get the most out of AI one need a strong ...
Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...
Debuted in Japan, the offering is designed to help data center operators reduce capital investment and operating costs by ...
Running large language models (LLMs) typically requires expensive, high-performance hardware with substantial memory and GPU ...
How does DePIN unlock idle GPU capacity? Learn how decentralized networks connect unused hardware with AI and cloud workloads ...
Distributed cloud compute-as-a-service startup Kinesis Network Inc. today announced the availability of a new serverless feature for enterprises to access its scalable “always-on” compute resources ...
The AI industry grapples with the scarcity and high cost of GPUs needed for training complex models. DEKUBE introduces a network solution for distributed AI training to democratize AI development by ...
‘Rather than building out data centers ourselves or building, buying and running equipment, we instead leverage equipment that is already being run, powered and cooled around the world,’ says Storj ...
The Automotive Edge Computing Consortium (AECC) today announced that Mitsubishi Heavy Industries, Ltd. (MHI), a leading ...
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