We attached vGPUs to sandboxed Chromium then played Doom 3 x WASM on it

What it does

By attaching virtual GPUs through a new QEMU-based data plane, Kernel now offers GPU-accelerated cloud browsers that dramatically speed up agents on sites with canvas-heavy applications or more generally sites that rely on WebGL. We’ve loved seeing what developers are building with our cloud browsers, especially across regulated industries. As these agents take on heavier, more resource-intensive websites, raw browser performance becomes the bottleneck, so we’re focused on making Kernel feel faster everywhere to unlock a lot more use cases. Also, it’s just fun. Over the past few months, we’ve been tinkering with our open source project, Hypeman , pushing into territory that hasn’t really…from kernel.sh

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  Attaching to a virtual GPU over TCP2024 · thundercompute.com · ▲344

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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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  Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr2023 · oblivus.com · ▲193

  Greetings HN! This is Doruk from Oblivus, and I'm excited to announce the launch of our platform, Oblivus Cloud. After more than a year of beta testing, we're excited to offer you a platform where you can deploy affordable and scalable GPU virtual machines in as little as 30 seconds! https://oblivus.com/cloud - What sets Oblivus Cloud apart? At the start of our journey, we had two primary goals in mind: to democratize High-Performance Computing and make it as straightforward as possible. We understand that maintaining GPU servers through major cloud service providers can be…

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  Contribute to Mega4alik/ollm development by creating an account on GitHub.

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  WoolyAI Acceleration Service2025 · woolyai.com · ▲100

  Hi HN, We’re a small team of OS, virtualization, and ML engineers, and after three years of development, we’re thrilled to launch the beta of our CUDA abstraction layer! We decouple the Kernel Shader execution from applications that use CUDA into a Wooly Abstraction layer. In this abstraction layer, we compile these to a new binary, and Shaders are compiled into a Wooly Instruction Set. At runtime, Kernel Shader launch events initiate a transfer of Shader over the network from a CPU host to a GPU host, where they are recompiled. Their execution is managed by Wooly Server software to achieve…

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  Demo of Agent Based Model on GPU with CUDA and OpenGL (Windows/Linux)2023 · github.com · ▲55

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