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xVRAM Developer Preview

Run supported CUDA workloads beyond physical VRAM

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An experimental open-source CUDA SDK with RAM backing and a bounded VRAM cache. The recorded RTX 3070 demo processes 11.999 GiB of matrix data on an 8 GiB GPU. Includes a Windows build, C API example and local validation. Explicit integration required.

PH · launched Sep 18, 2026 · 1 upvote (top 69%) · 0 views

Niche: gpu infrastructure and developer tools · 129 launches, 7 in the last 7 days ▼ -30% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product
  • Open Source
  • Developer Tools
  • GitHub
  • OpenAI Day

Visit website ↗ Source listing ↗

Could you build this?

No Creating a CUDA SDK that swaps memory between host RAM and GPU VRAM with a custom bounded caching system requires deep systems programming, low-level CUDA driver knowledge, and memory management expertise.

What it would actually take: Building this requires deep systems and GPU architecture expertise using C++, CUDA Driver/Runtime APIs, and low-level memory management (virtual memory paging, unified memory, pinned host memory, and asynchronous streams). The engineer must handle page faults, cache eviction strategies, and PCI-e bandwidth bottlenecks without crashing compute kernels.

Competitors

Other products that read as similar to this one : 354 launches clear the similarity bar, closest 8 shown.

Attention rank: #264 of 355 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 324 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.