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Dreamscale Labs

Product Hunt ↗ · 5d ago Cached

Dreamscale Labs(YC F26)推出面向机器人的实时云推理平台,以超低延迟提供前沿物理 AI 模型(如 VLA、WAM)的按需云端推理,免去购置昂贵 GPU 的成本。

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#cloud-inference

Quoting Felix Rieseberg

Simon Willison's Blog ↗ · 2026-10-05 Cached

Felix Rieseberg explains how the new version of Anthropic's Cowork moves model inference and the VM fully into the cloud, with per-session sandboxes, to fix battery, performance, and persistence issues of the local-VM approach.

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#cloud-inference

@modal: GLM 5.3 Flash is now available on Modal. Try it today with Modal Auto Endpoints.

X AI KOLs Timeline ↗ · 2026-08-27 Cached

GLM 5.3 Flash, an AI model, is now available on the Modal platform via Auto Endpoints for easy access and deployment.

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#cloud-inference

@JustinGorya: Hetzner now gives you FREE access to Qwen 3.8 27B This model is currently on same level as GPT-5.6 Luna In my testing i…

X AI KOLs Timeline ↗ · 2026-08-18 Cached

Hetzner offers free access to the Qwen 3.8 27B AI model via an OpenAI-compatible API, claiming it performs better than GPT-5.6 Luna in tests.

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#cloud-inference

@seclink: Fun fact: Mamba camp: taking the "cloud-side frontier model" route, with customers like NVIDIA/AI21/IBM — companies that sell enterprise AI platforms → If you want to do cloud API data processing for long-context, low-cost inference, this direction is worth tracking. RWKV camp: taking the "on-device/edge embedded…

X AI KOLs Following ↗ · 2026-08-14 Cached

The article compares the routes of two AI model architecture camps, Mamba and RWKV: Mamba targets cloud-side enterprise AI platforms, while RWKV targets on-device and edge devices, each adapting to different hardware and inference scenarios.

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#cloud-inference

When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems

Hugging Face Daily Papers ↗ · 2026-05-28 Cached

This paper systematically studies hybrid multi-agent systems combining cloud-based LLMs and on-device SLMs, revealing task-dependent optimal architectures and challenging the assumption that more frontier compute always improves performance.

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