4 projects for "high performance computing" with 2 filters applied:

  • $300 Free Credits for Your Google Cloud Projects Icon
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
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  • 1
    CUDA Agent

    CUDA Agent

    Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

    ...The system operates in a ReAct-style loop where the agent profiles baseline implementations, writes CUDA code, compiles it in a sandbox, and iteratively refines performance. CUDA-Agent has demonstrated strong benchmark results, achieving high pass rates and significant speedups compared with compiler baselines such as torch.compile.
    Downloads: 0 This Week
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  • 2
    holaOS

    holaOS

    An Open Agent Computer for ANY digital work

    holaOSc is an AI-native operating system concept designed to integrate intelligent agents directly into the core of the computing environment. It provides a framework where AI agents manage tasks, workflows, and interactions across applications. The system emphasizes seamless automation, allowing users to interact with their computer through natural language and high-level instructions. It integrates memory, context awareness, and task orchestration into a unified environment. ...
    Downloads: 0 This Week
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  • 3
    AutoGen

    AutoGen

    An Open-Source Programming Framework for Agentic AI

    ...It offers features such as agents that can converse with other agents, LLM and tool use support, autonomous and human-in-the-loop workflows, and multi-agent conversation patterns. AutoGen provides multi-agent conversation framework as a high-level abstraction. With this framework, one can conveniently build LLM workflows. AutoGen offers a collection of working systems spanning a wide range of applications from various domains and complexities. AutoGen supports enhanced LLM inference APIs, which can be used to improve inference performance and reduce cost.
    Downloads: 3 This Week
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  • 4
    AutoAgent AI

    AutoAgent AI

    Autonomous harness engineering

    AutoAgent is an experimental AI framework focused on autonomous agent engineering, where a meta-agent iteratively improves another agent’s architecture without direct human intervention. Instead of manually tuning prompts or workflows, developers define high-level goals in a configuration file, and the system continuously modifies its own tools, orchestration, and logic based on benchmark performance. It operates through a loop of testing, analyzing failures, and refining the agent’s configuration to maximize a scoring metric. The framework uses a single-file agent harness combined with structured tasks and evaluation suites to guide optimization. ...
    Downloads: 0 This Week
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