NVIDIA GPU Cloud
Deep Learning Everywhere, For Everyone
NVIDIA GPU Cloud launched on October 26, 2017 with 9 votes, #1,074 of 3,183 launches that month.
What it does
NVIDIA GPU Cloud is a GPU-accelerated cloud platform that makes it easy to get started quickly with the top deep learning frameworks on-premises or on Amazon Elastic Compute Cloud (Amazon EC2) and other cloud providers coming soon.
Does a similar job
all alternatives →- CGCloud GPUs for Deep Learning – At 1/3 the Cost of AWS/GCP2021 · gpu.land · ▲168
- TCTensorDock 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…
- SSShadeform – Single Platform and API for Provisioning GPUs2023 · shadeform.ai · ▲62
Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…
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