Models & Labs
Perceptron Launches Isaac 0.5 for Industrial AI
TechCrunch AIhigh confidence
Why it matters
- →Isaac 0.5 offers a flexible AI solution for industrial automation, unlike traditional models.
- →The open-weight release encourages transparency and collaboration in AI development.
- →Perceptron's approach could significantly enhance robot efficiency in various industries.
Perceptron, a startup founded by ex-Meta scientists, has launched Isaac 0.5, a vision model aimed at improving robot interactions in industrial settings. The model helps robots navigate and perform tasks in complex environments like warehouses. It is released as an open-weight model, allowing public access to its parameters and training materials. Perceptron aims to lead in industrial automation by offering a flexible, general-purpose AI solution. The company previously raised $16 million and is reportedly closing another funding round.
Read originalMore from TechCrunch AI
More in Models & Labs
Models & Labsmodels
vLLM v0.28.0 Release: Major Performance Enhancements
The v0.28.0 release of vLLM introduces substantial improvements in performance and functionality, particularly for the Kimi-K3 model. With the addition of Decode Context Parallel support and fused FlashKDA decode kernels, the update significantly enhances processing speed and efficiency. DeepSeek V4 now includes sparse MLA support and advances in speculative decoding, offering better execution on both NVIDIA and AMD hardware. These updates make vLLM more robust and adaptable, providing developers with enhanced tools for deploying and executing models on a broader range of hardware configurations.
vLLM Releases
Models & Labsmodels
llama.cpp b10657 Release Expands Platform Support
The b10657 release of llama.cpp brings new OpenCL binary kernels, enhancing performance and compatibility across a wide range of systems. This update includes specific improvements for Apple Silicon, with KleidiAI support, and Vulkan on Ubuntu, making it more accessible for developers using these platforms. While no new model architectures are introduced, the release focuses on strengthening llama.cpp's capabilities as an inference runtime, particularly for those not using NVIDIA hardware. With ROCm 7.14 support on Ubuntu and CUDA 12 and 13 DLLs for Windows, llama.cpp continues to evolve as a versatile tool for AI model deployment. This release underscores the commitment to broadening hardware compatibility and optimizing performance across different environments.
