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Efficient Computer
Trends
- 1Jinfu Technology raises $44M for liquid-cooling expansion▼Jinfu Technology raises $44M to fund liquid-cooling expansion
Jinfu Technology has raised $44 million in new funding that it will use to expand its liquid-cooling business. The company supplies cooling technology increasingly needed for data centres and high-performance computing, where rising energy demands are driving demand for more efficient thermal management. The investment signals continued investor interest in infrastructure supporting AI-driven computing growth.
- 2Seoul National University Holdings Backs AI Startup Bystrata in Seed Round▼Seoul National University Holdings Makes Seed Investment in AI Startup Bystrata to Reduce GPU Dependency
Seoul National University Holdings has made a seed investment in AI startup Bystrata, whose technology aims to reduce dependency on GPUs for artificial intelligence workloads. The move reflects growing interest among university-affiliated investors in efficiency-focused AI infrastructure as hardware costs and chip shortages weigh on the sector.
- 3
Researchers report that hyperbolic wave attractors, structures that trap and concentrate light waves, could be used to build next-generation optical chips. By confining light more efficiently, the approach may improve photonic circuits used in computing and communications. Details of the research and its practical applications remain limited in the available reporting.
- 4
A new open-source project called Nesbox, published by Nestrilabs on GitHub, offers a fast micro virtual machine with support for sharing GPUs across workloads. It is drawing attention among developers interested in lightweight virtualization and more efficient use of accelerated hardware, a growing concern as AI and compute costs rise.
- 5Chip startup Efficient Computer raises $97 million▼Low-energy chip startup Efficient Computer closes on $97M in funding
Efficient Computer, a startup developing low-energy chips, has closed $97 million in funding. The company is working on processor designs aimed at dramatically cutting power consumption, an area drawing growing investor interest as demand for energy-efficient computing rises alongside AI workloads.
- 6Efficient Computer raises $97 million at $650 million valuation▼Chip startup Efficient Computer raises $97 million at $650 million valuation
Chip startup Efficient Computer has raised $97 million in funding at a $650 million valuation, according to Reuters. The Pittsburgh-based company is developing energy-efficient general-purpose processors, a field attracting growing investor interest as demand for computing power rises. The funding round puts the young semiconductor firm among the notable new players challenging established chipmakers.
- 7Data centres built with lab-grown human brain cells●Inside the data centres built with lab-grown human brain cells https://www.standard.co.uk/news/tech/data-centres-built-l
The Evening Standard reports on a new frontier in computing: data centres that use lab-grown human brain cells to process information. The technology, often called biocomputing, uses cultivated neurons that can learn and adapt, raising the prospect of far more energy-efficient computing than silicon-based systems, alongside ethical questions about the use of living human tissue in machines.
- 8TurboGPT trains tiny 22KiB transformer in 13 seconds●Show HN: TurboGPT: train 22KiB transformer in 13s
A developer known as lostmsu has released TurboGPT, an open-source project on GitHub that trains a compact 22KiB transformer model in roughly 13 seconds. The tool is drawing attention from machine learning enthusiasts interested in fast, lightweight training experiments that can run without large compute budgets.
- 9Efficient Computer raises $100 million at $650 million valuation▼Chip startup Efficient Computer raises $100 million at $650 million valuation
Semiconductor startup Efficient Computer has raised $100 million in funding at a $650 million valuation, according to Reuters and other outlets. The company is working on energy-efficient processor designs, an area attracting growing investor interest as demand for computing power strains power grids and data centre budgets. The funding round was widely reported across business and technology media.
- 10Developer calls for prompt caching in Jevons-style AI models●Please add prompt caching to Jev-style models https://emschwartz.me/please-add-prompt-caching-to-jev-style-models/ # Sof
Software engineer Evan Schwartz has published a blog post urging makers of Jev-style AI models — lightweight open models whose efficiency drives heavier overall usage, echoing the Jevons paradox — to add prompt caching. Caching previously processed prompts would cut redundant computation, lower latency and reduce serving costs. The post is being shared among AI and open-source engineering communities, where efficiency and inference costs are active topics of debate.
Repos
- QwenLM/Qwen-Image-2.1 Qwen's most powerful open-source image generation model