With real-time distribution across thousands of high-performance GPUs, ScitiX scales your workloads effortlessly.
Unlike traditional GPU clusters, ScitiX is purpose-built for high-performance, cloud-native AI computing. Our global GPU network dynamically scales across thousands of nodes, delivering real-time distributed acceleration for training, inference, and fine-tuning. Experience compute power beyond what on-premises servers or conventional GPU clouds can offer.
Elastic Scalability
Scale your workloads from a single node to thousands instantly. ScitiX’s adaptive scheduler intelligently allocates global GPU resources in real time, ensuring maximum efficiency for any workload—from model training to large-scale inference.
Developer-Friendly
Easily connect via API, SDK, or CLI. ScitiX supports mainstream AI frameworks and toolchains, offering intuitive control, real-time monitoring, and transparent billing—all designed to help developers focus on innovation, not infrastructure.
Optimized Performance
Built for low latency and high throughput, ScitiX leverages high-bandwidth interconnects and custom GPU pipelines to deliver unmatched performance. Whether running LLMs or generative models, you’ll experience speeds that redefine what’s possible in cloud AI computing.
Self-service
With self-service ordering and a comprehensive user guide to walk you through every step, the docs have you covered whether you're prototyping or scaling.
Open Source
Our infrastructure is built in the open - transparent, verifiable, and always
evolving with the community.
Explore our GitHub to see what we're building, contribute your ideas, or just star
the repo to stay connected.
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