Row 5536

Row ID: 5536 | Dataset Entry | Axioma AXP Content Repository

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Hey folks! I’m Jonathan from TensorDock, and we’re building a cloud GPU marketplace. We want to make GPUs truly affordable and accessible.

I once started a web hosting service on self-hosted servers in middle school. But building servers isn’t the same as selling cloud. There’s a lot of open source software to manage your homelab for side projects, but there isn’t anything to commercialize that.

Large cloud providers charge obscene prices — so much so that they can often pay back their hardware in under 6 months with 24x7 utilization.

We are building the software that allows anyone to become the cloud. We want to get to a point where any \[insert company, data center, cloud provider with excess capacity\] can install our software on our nodes and make money. They might not pay back their hardware in 6 months, but they don’t need to do the grunt work — we handle support, software, payments etc.

In turn, you get to access a truly independent cloud: GPUs from around the world from suppliers who compete against each other on pricing and demonstrated reliability.

So far, we’ve onboarded quite a few GPUs, including **200 NVIDIA H100 SXMs available from just $2.49/hr**. But we also have **A100 80Gs from $1.63/hr, A6000s from $0.47/hr, A4000s from $0.13/hr, etc etc**. Because we are a true marketplace, prices fluctuate with supply and demand.

All are available in plain Ubuntu 22.04 or with popular ML packages preinstalled — CUDA, PyTorch, TensorFlow, etc., and all are hosted by a network of mining farms, data centers, or businesses that we’ve closely vetted.

If you’re looking for hosting for your next project, give us a try! Happy to provide testing credits, just email me at [jonathan@tensordock.com](mailto:jonathan@tensordock.com). And if you do end up trying us, please provide feedback below \[or directly!\] :)

​

Deploy a GPU VM: [https://dashboard.tensordock.com/deploy](https://dashboard.tensordock.com/deploy)

CPU-only VMs: [https://dashboard.tensordock.com/deploy\_cpu](https://dashboard.tensordock.com/deploy_cpu)

Apply to become a host: [https://tensordock.com/host](https://tensordock.com/host)

FieldValue
text Hey folks! I’m Jonathan from TensorDock, and we’re building a cloud GPU marketplace. We want to make GPUs truly affordable and accessible. I once started a web hosting service on self-hosted servers in middle school. But building servers isn’t the same as selling cloud. There’s a lot of open source software to manage your homelab for side projects, but there isn’t anything to commercialize that. Large cloud providers charge obscene prices — so much so that they can often pay back their hardwar…
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-01
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Raw Record

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  "text": "Hey folks! I’m Jonathan from TensorDock, and we’re building a cloud GPU marketplace. We want to make GPUs truly affordable and accessible.\n\nI once started a web hosting service on self-hosted servers in middle school. But building servers isn’t the same as selling cloud. There’s a lot of open source software to manage your homelab for side projects, but there isn’t anything to commercialize that.\n\nLarge cloud providers charge obscene prices — so much so that they can often pay back their hardware in under 6 months with 24x7 utilization.\n\nWe are building the software that allows anyone to become the cloud. We want to get to a point where any \\[insert company, data center, cloud provider with excess capacity\\] can install our software on our nodes and make money. They might not pay back their hardware in 6 months, but they don’t need to do the grunt work — we handle support, software, payments etc.\n\nIn turn, you get to access a truly independent cloud: GPUs from around the world from suppliers who compete against each other on pricing and demonstrated reliability.\n\nSo far, we’ve onboarded quite a few GPUs, including **200 NVIDIA H100 SXMs available from just $2.49/hr**. But we also have **A100 80Gs from $1.63/hr, A6000s from $0.47/hr, A4000s from $0.13/hr, etc etc**. Because we are a true marketplace, prices fluctuate with supply and demand.\n\nAll are available in plain Ubuntu 22.04 or with popular ML packages preinstalled — CUDA, PyTorch, TensorFlow, etc., and all are hosted by a network of mining farms, data centers, or businesses that we’ve closely vetted.\n\nIf you’re looking for hosting for your next project, give us a try! Happy to provide testing credits, just email me at [jonathan@tensordock.com](mailto:jonathan@tensordock.com). And if you do end up trying us, please provide feedback below \\[or directly!\\] :)\n\n​\n\nDeploy a GPU VM: [https://dashboard.tensordock.com/deploy](https://dashboard.tensordock.com/deploy)\n\nCPU-only VMs: [https://dashboard.tensordock.com/deploy\\_cpu](https://dashboard.tensordock.com/deploy_cpu)\n\nApply to become a host: [https://tensordock.com/host](https://tensordock.com/host)",
  "label": "r/machinelearning",
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}
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