3x-6x reduction in compute costs and planet-scale autoscaling for training and serving LLM-MLLM workloads via a multi-cloud, multi-accelerator solution.
Universal Compute Infrastructure for Generative AI.
OpenAI, HuggingFace and PyTorch API Compatible
No Lock-ins
50+ Accelerators
14+ Clouds
100+ Data Centers
What is Universal Compute AI Infrastructure?
Problem
Each individual component creates a lock-in, which increases cost and limits scalability.
ScaleGenAI Universal Compute AI Infrastructure
UCAI abstracts all these complex configurations behind a , OpenAI, HuggingFace and PyTorch Compatible API in a service-agnostic way, allowing you to build Generative AI applications that are scalable and reliable.
Advantages of Universal Compute AI Infrastructure.
Scalability
Ability to spin-up 500+ GPUs in under 2 minutes. Ensure infinite scaling with access to 14+ cloud providers and 100+ data centers.
Reliability
Guaranteed SLAs and provisioned throughput for your generative AI deployments.
Compliance
Cloud and geography-based filters for GPU provisioning, adhering to strict data jurisdiction requirements.
Cost-Reduction
Orchestration engine that provisions the cheapest compute across the ScaleGenAI Partner Compute Network allowing you 3x-6x cost reduction.
H100s at $ 1.49/hr
A100s at $ 0.99/hr
Never Seen Before GPU Prices.