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 ...

Alluxio Inc., which sells a high-performance open-source distributed filesystem, announced a set of enhancements that optimize the use of costly graphic processing units along with performance ...

Running large language models (LLMs) typically requires expensive, high-performance hardware with substantial memory and GPU ...

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

How does DePIN unlock idle GPU capacity? Learn how decentralized networks connect unused hardware with AI and cloud workloads ...

The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense ...

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 ...

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 ...

Debuted in Japan, the offering is designed to help data center operators reduce capital investment and operating costs 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 ...

As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.