Open Compute Project
PulseAugur coverage of Open Compute Project — every cluster mentioning Open Compute Project across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Solid-state transformers poised to revolutionize AI data center power infrastructure
Solid-state transformers (SSTs) are emerging as a critical technology for next-generation AI data centers, enabling the conversion of medium-voltage AC directly to 800 V DC. This shift to high-voltage direct current (HV…
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Meta AI unveils MetaRoCE for AI-scale Ethernet networking
Meta AI has developed MetaRoCE, a new transport protocol designed to improve the efficiency of AI training on large-scale Ethernet networks. Unlike traditional RoCE, which relies on lossless networks, MetaRoCE treats th…
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AI Leaders Call for International Slowdown Amid Safety Concerns · 1 source tracked
Leading AI companies like OpenAI and Anthropic, along with over a thousand employees, have publicly supported an international effort to deliberately pace AI development. This call for a slowdown stems from recent cyber…
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SanDisk, SK Hynix unveil High Bandwidth Flash spec for AI memory
SanDisk and SK Hynix have jointly introduced the High Bandwidth Flash (HBF) specification, a new open standard designed to enhance memory capacity and bandwidth for AI inference systems. This technology aims to bridge t…
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Tech sector invests $1T in AI, passing costs to customers
The technology sector has invested a staggering $1 trillion into artificial intelligence, a move that is driving up costs for both hardware and software. This massive investment is fueling the largest infrastructure bui…
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Intel and AMD collaborate on ACE CPU extensions for efficient AI on x86
Intel and AMD have collaborated on new ACE CPU extensions designed to enhance AI workloads on x86 processors. These extensions leverage existing AVX10 registers but incorporate dedicated silicon for matrix multiplicatio…
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New framework dMX optimizes LLM bit-widths for better efficiency
Researchers have developed dMX, a novel differentiable framework for optimizing the bit-width of floating-point formats in large language models. This method allows for learnable, per-layer bit-width assignments, moving…
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Majestic Labs unveils Prometheus server with 128TB memory
AI startup Majestic Labs is developing a new server called Prometheus, designed to overcome the limitations of current AI hardware by significantly increasing memory capacity. The server will feature up to 128 terabytes…
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New MX-SAFE format slashes AI energy use with adaptive quantization
Researchers have introduced MX-SAFE, a novel dynamic quantization format designed to reduce computational costs in deep learning. This format enhances the existing microscaling (MX) standard by adaptively allocating bit…
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Open Compute Project promotes using data center waste heat
The Open Compute Project is advocating for local governments to utilize waste heat generated by data centers. This initiative aims to repurpose the significant thermal output from these facilities, which is often vented…