Kozcns provides the dedicated GPU compute, distributed training frameworks, and serverless inference APIs you need to ship GenAI applications faster.
> Initializing distributed training environment...
> [NODE-01] GPU 0-7: NVIDIA H100 80GB HBM3 [Allocated]
> [NODE-02] GPU 0-7: NVIDIA H100 80GB HBM3 [Allocated]
> Loading dataset "common-crawl-filtered" (2.4TB)...
> Epoch 1/100 | Loss: 2.453 | ETA: 4h 20m
> Epoch 2/100 | Loss: 1.982 | ETA: 4h 15m _
Everything you need to build AGI
From raw metal to serverless APIs, we manage the complexity so you can focus on the model architecture.
Access H100, A100, and RTX 4090 clusters on demand. Scale from 1 to 1,000 GPUs in seconds with zero configuration.
Pre-configured environments for PyTorch and TensorFlow. Automated checkpointing, fault tolerance, and hyperparameter tuning.
Deploy open-source models (Llama 3, Mistral) or custom finetunes via a high-throughput API. Pay only for tokens generated.
Built-in high-performance vector storage for RAG (Retrieval Augmented Generation) applications. Ultra-low latency search.
Enterprise-grade isolation. Keep your datasets and model weights secure within your own Virtual Private Cloud (VPC).
Integrated CI/CD for models. Track experiments, manage data lineage, and serve features in real-time.
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