RENDERRender Token 価格

According to Beating AI news, after claiming Ox Alpha during the day, Zhiyu officially open-sourced GLM-5.3-Flash in the evening, with model weights now available on Hugging Face under the MIT license. The model has a total of 320 billion parameters, but only activates 18 billion at a time. It natively supports text, images, and videos, making it the first native multimodal model in the GLM-5 series. The official statement claims that GLM-5.3-Flash outperforms GLM-5.2 overall, with programming and agent evaluations nearing Claude Opus 4.8, yet it is priced at only a tenth of GLM-5.2. It also introduces a new foundational model, incorporating a mixed architecture of sparse attention and linear attention for the first time in the GLM main series, and is pre-trained on 30 trillion tokens of multimodal data. Previously, community tests of Ox Alpha's DeepSWE small sample achieved 80%, but that was based on only 10 questions. After expanding the sample, the score dropped to about 63%, and testers have actively corrected the initial claims. This score still places it in the top tier, but it is not as exaggerated as the initial 80%. With the weights now open-sourced, developers can directly deploy using frameworks like vLLM, SGLang, and KTransformers, without needing to go through the API of anonymous models.

On May 30, as the demand for training and inference of artificial intelligence models surged, the global supply of high-performance GPUs continued to be tight, with Nvidia's high-end chip delivery cycles extending to several weeks. Market analysis suggests that cryptocurrency projects capable of integrating idle computing power and providing decentralized GPU services are likely to become major beneficiaries in the AI computing expansion cycle. The most notable cryptocurrency projects currently include: · Render (RENDER): Initially focused on rendering computation, it has now expanded into the AI inference field, linking computing power demand with token value through a Burn-and-Mint mechanism. · Akash Network (AKT): A decentralized cloud computing platform that saw its computing power expenditure reach a record high of $5 million in the first quarter of 2026, providing low-cost GPU rental services for AI companies. · io.net (IO): Aggregating tens of thousands of GPUs globally, it claims to reduce AI computing costs by up to 70%, becoming an important infrastructure project in the DePIN AI sector. · Bittensor (TAO): Incentivizing contributions from models, data, and computing power through a 'proof of intelligence' mechanism to build a decentralized AI network. Analysts believe that with the rapid growth of AI agents, autonomous agents, and inference demand, decentralized computing networks are expected to meet some of the needs that traditional cloud providers struggle to fulfill. Compared to centralized services like AWS and Azure, these platforms typically offer a cost advantage of 50% to 90% and attract idle GPU resources globally into the network through token incentives.

Render Network has announced the launch of Cinema 4D Wizard, aimed at simplifying the workflow for rendering native C4D files on the web. This new tool provides a more convenient rendering solution for 3D artists and designers.Artists can directly upload their work from Octane for C4D to Render Network without exporting to the ORBX exchange format.It can automatically create backups, package scenes into .zip files, and choose to ignore warnings. Users can customize default folders, project names, and .zip file target locations to improve efficiency. Dockable design, progress indicators, and intuitive buttons make navigation easy. The wizard is compatible with all versions of Cinema 4D from 2022 onwards.With the Python plugin, users can extend rendering jobs to Render Network's nearly infinite decentralized GPUs.Render Network states that the Cinema 4D Wizard is now available for download and use by Windows and MacOS users.