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FastGPU: Revolutionizing AI Compute with On-Demand GPUs

FastGPU’s platform combined with Exabits GPU power simplifies the deployment and management of AI infrastructure.

Last updated 11 months ago

AI development moves and changes fast and accessing powerful compute resources has been a BIG barrier for startups and developers. Traditionally, committing to costly SLAs and upfront investments hindered the agility needed to bring AI innovations to market swiftly. But FastGPU and Exabits are changing that NOW. Together, we are offering on-demand access to enterprise GPU machines without the burdens of long-term commitments, and massive costs.

FastGPU and Exabits, introduce a brand new approach to AI compute infrastructure. Now, deploying high-performance RTX4090’s INSTANTLY, is as easy as a few clicks, and you only pay for what they use. No need to pay for idle periods, so allows startups to scale efficiently from development to production.

For startups and developers looking to transition from experimental AI models to scalable, production-ready applications, this on-demand compute resource represents a pivotal advancement. With the commitment to accessibility, reliability, and cost-efficiency, the teams are democratizing AI infrastructure and accelerating the pace of AI innovation.

FastGPU and Exabits offer a straightforward path from AI concept to execution. Whether you’re a startup, builder or scaling a successful application, FastGPU and Exabits are your trusted partner in achieving computational excellence without compromise. Join the FastGPU and Exabits’ communities today and stay tuned!

Built on advanced technology, ensures reliability and performance. Each GPU undergoes rigorous testing, including burn tests and real-world stress scenarios, to guarantee uninterrupted service under heavy workloads. This reliability is crucial for AI engineers and developers who rely on consistent performance to serve their customers seamlessly.

FastGPU’s platform combined with power simplifies the deployment and management of AI infrastructure. By removing the complexities of traditional cloud services, such as convoluted setup processes and complex pricing structures, AI engineers can focus on innovation rather than infrastructure management.

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