Technology Optimization advises CIOs seeking to invest in innovation and strategic advantage while optimizing the cost of providing ongoing support.
New economic realities and shrinking IT budgets necessitate that IT organizations become better at justifying new projects, more efficient in delivering IT services, and smarter at adopting new technologies that can deliver business value while reducing costs.
Organizations must work together to optimize the cost reduction that funds innovation, and learn how to balance the needs of business with the responsibilities of IT. Is your organization ready for the shift to innovation? Have you developed a strategy to fund innovation with optimization?
AMD launched its 5th Gen EPYC processor as well as its latest Instinct MI325X accelerators as it aims to gain AI workloads from inference to model training. The big takeaway is that AMD is well equipped to give Nvidia competition for AI workloads.
BioNtech's InstaDeep, which was acquired in 2023 for about $682 million, has released a series of foundational generative AI models for proteins and DNA and released them on its DeepChain platform and outlined a supercluster called Kyber.
Cerebras Systems has filed for a US initial public offering, but this alleged Nvidia competitor has multiple risk factors and depends on one UAE-based customer, Group 42 Holding, for 87% of its revenue.
Liquid AI, an MIT spinoff, launched its Liquid Foundation Models (LFM) in three sizes without using the current transformer architecture used by large language models (LLMs) with good performance. That efficiency could mean that LFMs will use less power and be more sustainable.
AMD is starting to land hyperscale deals for its AMD Instinct MI300X AI accelerators with ROCm open software and the wins portend more competition for Nvidia.
IBM has installed its second-gen IBM Quantum Heron processors in its Poughkeepsie data center as it builds out its quantum infrastructure.
Accenture CEO Julie Sweet said enterprises aren't increasing IT budgets for generative AI, but are looking to save money on technology and reallocate spending toward genAI and data projects.
