Your One-Stop AI Solution
X-ScaleAI
With X-ScaleAI, your AI capabilities can easily scale to meet the demands of heavy deep learning workloads, while maintaining optimal performance. Our user-friendly approach ensures broad access and the ability to be powered anywhere – not just on-premise.
You can access the AWS version here.
Now Introducing
Accelerated Problem Solving By exploiting HPC optimizations for distributed training and inference on CPUs (x86/ARM), DPUs, and GPUs (NVIDIA/AMD), your complex AI problems can be solved faster
Our user-friendly approach starts at installation with install and execution in one command. X-ScaleAI is distributed as a self-contained, secure container (Docker, Apptainer), which enables seamless deployment at scale via existing orchestration tools like Kubernetes and Slurm.
Comprehensive support packages available, with more configurations continually being developed.
Distributed training with any PyTorch model, along with a highly-tuned CUDA-Aware MPI library for GPU clusters and CPU-only systems to ensure full-stack optimization. Efficient checkpoint-restart support to improve fault-tolerance for long-running training jobs.
Offering “out of the box” optimal performance on large-scale cloud (AWS/Azure/GCP) and HPC systems, allows your business to start accelerating workloads across different platforms without missing a beat.
Our team of expert software engineers regularly test this product with large-scale language and vision models across thousands of GPUs on the latest Top500 systems.
X-ScaleAI Software solution is distributed via optimized container images, targeting on-premise, HPC, and cloud systems.
You can access the AWS version here.
Easy configurability of model and inference settings without worrying about parallelism and GPU-specific optimizations.
Track key inference/training metrics via our integrations with industry-standard monitoring tools such as Weights & Biases and run.ai.
Visualize real-time hardware utilization across CPUs, GPUs, and network interconnects for your inference and training workloads. Identify bottlenecks and take action.
X-ScaleAI Inference provides detailed and interpretable inference profiles to help users understand and improve their workflows.
PERFORMANCE CASE STUDIES
Accelerating Workloads Across Configurations
Training Performance
Inference Performance
Questions on X-ScaleAI?
Our team of experts are available to answer your questions, show you a demo and help you determine how X-ScaleAI can best solve your deep learning business needs.
