Designed for AI pioneers, Cyfuture AI GPU Clusters harness the power of NVIDIA GB200, B200, H200, and H100 GPUs-enhanced with our advanced kernel optimizations-delivering up to 24% faster training and superior inference performance.
Scale effortlessly from 16 to 100K+ NVIDIA GPUs, including GB200, B200, H200, and H100, interconnected via InfiniBand and NVLink for unparalleled AI training efficiency.
With Cyfuture AI's Kernel Collection, developed by top AI researchers, achieve up to 10% faster training and 75% faster inference, ensuring peak computational performance.
Seamlessly deploy and scale inference models across cloud, edge, or on-premise environments, ensuring flexibility and efficiency as demand grows.
As an NVIDIA partner, Cyfuture AI provides large-scale GPU clusters ready for deployment. Need a custom setup? We tailor high-performance NVIDIA Blackwell clusters to match your AI workloads and research needs.
A 72-GPU NVLink-connected exascale system with 1.4 exaFLOPS of AI performance and 30TB of ultra-fast memory.
Up to 15X faster inference and 3X faster training, accelerating trillion-parameter AI models beyond NVIDIA Hopper architecture.
141GB of HBM3e memory with 4.8TB/s bandwidth, nearly 2X the capacity of H100, supercharging generative AI workloads.
A proven powerhouse offering exceptional performance, scalability, and security across AI and ML applications.
Partner with Cyfuture AI to deploy high-performance GPU clusters that are customized for your project and optimized for next-gen AI innovation.
Cyfuture AI Kernel Optimizations (CKO) enhance training speeds by 10% with finely tuned kernels for multi-layer perceptrons (MLPs) using SwiGLU activations, maximizing computational efficiency.
Achieve lightning-fast inference-75% faster than standard implementations, thanks to FP8-optimized kernels designed for small matrices, outperforming traditional PyTorch methods.
Seamlessly integrated with PyTorch, CKO delivers superior performance compared to conventional libraries like cuBLAS and cuDNN, ensuring smooth and efficient AI model execution.
With increased throughput and optimized processing, CKO helps businesses train models faster, process more data, and cut GPU costs-without compromising performance.
Cyfuture AI combines cutting-edge infrastructure with specialized expertise to help you design, train, and deploy custom AI models tailored to your specific requirements.
Utilize advanced tools like DSIR and DoReMi to curate high-quality, optimized data slices-leveraging insights from data sets such as RedPajama-v2 for superior AI performance.
Collaborate with our AI experts to develop custom architectures and training workflows, perfect for tasks like instruction tuning, conversational AI, and domain-specific adaptations.
Train models up to 9x faster while reducing costs by 75%, powered by an optimized training stack, including FlashAttention-3 for maximum efficiency.
Benchmark your model against public datasets or custom performance metrics, ensuring optimal accuracy, scalability, and real-world reliability.