Inference
- Optimized GPU scheduling for real-time responses
- Support for streaming output & long-context inference
- Works with open-source & custom models
Fine-Tuning
- Full control of model parameters
- Support for LoRA & full fine-tuning
- Seamless integration with APIs
Training
- Multi-node distributed training & elastic scaling
- Fast data pipeline with on-cluster storage
- Support for PyTorch & Lightning
- Checkpointing & logs built-in
Stable
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99.9% uptime SLA
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Multi-region failover
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Error rate <0.01% for mission
Effective
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90%+ GPU utilization
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Job startup latency <60s
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30-40% lower cost
Intelligent
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25% higher allocation efficiency
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<1s monitoring latency
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Predictive auto-scaling
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
DeepSeek-V3.2 is a cutting-edge large language model developed by DeepSeek-AI, representing a significant advancement in open-source AI capabilities.
GPT-OSS-120B is OpenAI’s 120-billion-parameter open-source large language model designed to deliver high performance, strong reasoning ability, and full transparency for research and commercial use.
The gpt-oss-20b is an open-weight, 20-billion parameter Mixture-of-Experts (MoE) model released by OpenAI under the Apache 2.0 license, designed for powerful reasoning, strong instruction following, and agentic workflows including tool use.
The Google/Gemma-3-27b-it is a 27-billion-parameter model from Google's Gemma family, engineered for powerful multimodal understanding and generation. Built upon the same research and technology that powers the Gemini models, this instruction-tuned variant is designed for high performance and versatile deployment.
Qwen2.5-72B-Instruct is Alibaba’s flagship 72B instruction-tuned model, designed for advanced reasoning, multilingual dialogue, and complex task execution. With strong performance in coding, tool-use, and knowledge-intensive scenarios, it delivers enterprise-class intelligence and versatility across global applications.
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Our Vision
ScitiX envisions a future where cities think, adapt, and grow like living
systems. Like a breathing interface, AI-powered infrastructure feels organic,
aware, and undeniably alive — shaping environments that respond to people, not the other way
around.
By harnessing open innovation and limitless compute, we're building the backbone for smarter
cities: sustainable, intelligent, and always evolving.
With ScitiX, every spark of AI creativity moves us closer to a world where technology and humanity thrive together.
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.
Contact Us
