gpu.fund

What it does

Live GPU cloud rental prices. Compare H100, A100, RTX 4090, and more across Vast.ai, RunPod, AWS, GCP, Azure, CoreWeave, and Paperspace. Updated every hour.

Compare live cloud GPU rental prices across tracked providers. Find H100, H200, B200, B300, GB300, A100, RTX 4090, and MI300X prices before you rent.

Compare H100, H200, B200, B300, GB300, A100, RTX 4090, and MI300X rental prices across tracked providers. Sort by GPU, VRAM, provider, region, and real hourly cost. Filter the live crawler by GPU, provider, tier, hourly price, andfrom gpu.fund

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  GPUHourAug 2026 · gpuhour.com · ▲4

  Compare live cloud GPU rental prices across marketplaces, GPU clouds and hyperscalers — H100, H200, B200, RTX 4090 and more, spot and on-demand, refreshed from provider APIs.

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  GPU Terminal by Context.dev5d ago · gpu.context.dev · ▲109

  Compare GPU rental prices across cloud providers

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  GPU Per HourJan 2026 · gpuperhour.com · ▲9

  Compare real-time cloud GPU pricing across 31 providers. Prices from $0.01/hr, updated every 60 seconds. Find the cheapest H100, A100, and RTX 4090 instances.

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  GPU.LAND2021 · vedge.cloud · ▲126

  Affordable cloud GPUs for deep learning

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  gpu.index2025 · gpu-index.vercel.app · ▲9

  Compare and save on GPU Rentals

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  TensorDock Core GPU Cloud – GPU servers from $0.29/hr2022 · tensordock.com · ▲147

  Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

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  Spira Maxima▲578

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  AI · May 2026 · pollyreach.ai

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  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

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  Files.md – Open-source alternative to Obsidian▲730

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  Dev tools · May 2026 · github.com