Alternatives
Products that do what Nemotron 3 Ultra by NVIDIA does
Powers faster, efficient reasoning for long-running agents
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General Compute▲315AI models that run on an inference cloud optimized for speed
May 2026 · generalcompute.com
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The video demo runs a 7b Model on a normal gaming GPU. I think it already works quite well (accounting for the limited hardware power). :)
2024 · github.com
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The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol. Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day. A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship…
Mar 2026 · georgelarson.me
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Hey HN, Anders and Tom here - we’ve been building an end-to-end testing framework powered by visual LLM agents to replace traditional web testing. We know there's a lot of noise about different browser agents. If you've tried any of them, you know they're slow, expensive, and inconsistent. That's why we built an agent specifically for running test cases and optimized it just for that: - Pure vision instead of error prone "set-of-marks" system (the colorful boxes you see in browser-use for example) - Use tiny VLM (Moondream) instead of OpenAI/Anthropic computer use for dramatically…
2025 · github.com
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