FluidStack

FluidStack

Unlock 3-5x better prices than traditional clouds. FluidStack aggregates under-utilized GPUs from data centers around the world to deliver the industry’s best economics.

FluidStack

FluidStack is a hosting brand that provides dedicated GPU servers for machine learning and other compute-intensive tasks. Their platform aggregates under-utilized GPUs from data centers worldwide to deliver unbeatable prices, with the ability to scale up to thousands of GPUs in minutes.

FluidStack’s pricing model is transparent and all-inclusive, with no extra charges for storage or egress. They offer a broad range of GPU choices, available as virtual machines and bare metal instances, with the option of on-demand hourly pricing or monthly committed nodes for maximum savings. Their prices are 3-5x better than traditional cloud providers, and they claim to save their customers an extra 30% on average compared to other GPU clouds.

In addition to their competitive pricing, FluidStack offers their customers a range of features and services. These include managed security-as-a-service, a public API, preconfigured images, and 24/7 support. Their platform is designed to be easy to use, with the ability to deploy large-scale A100 and H100 clusters with InfiniBand in days.

FluidStack’s mission is to democratize the cloud and make it more efficient by uniting individual data centers and overcoming monopolistic GPU cloud pricing. They aim to allow their customers to compute 5x faster while reducing costs through their simple interface that provides instant access to 47,000+ unused servers with Tier 4 uptime and security.

FluidStack is a hosting brand that offers cost-effective and scalable GPU hosting solutions for machine learning and other compute-intensive tasks. Their platform is designed to be easy to use and transparent in its pricing, with a range of features and services to support their customers’ needs. If you’re looking for a cost-effective way to scale your machine learning or other compute-intensive workloads, FluidStack may be worth considering.

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