Cloud-Based Solutions to Accelerate Private AI Training and Inference Workloads
Cirrascale delivers enterprise-grade GPU cloud infrastructure for demanding AI, HPC, and data-intensive workloads — powered by AMD Instinct™ MI250, MI300X, and MI350 Series accelerators. With dedicated, bare-metal access, customers gain full control of their GPU servers and can run their own deep learning frameworks without shared-tenancy overhead.
Flexible deployment, transparent pricing, and an open ecosystem approach help teams scale from training to large-scale inference — with no vendor lock-in.
Built for Seamless, Secure, and Efficient Private AI Workflows
- Increase Performance: Accelerate AI projects with high-performance cloud infrastructure powered by the latest AMD Instinct MI300X and MI350 Series GPUs — featuring up to 288GB of HBM3E memory per GPU.
- Reduce Bottlenecks: Keep workflows moving with high-bandwidth networking, optimized storage, and bare-metal GPU access — engineered for productivity at every stage of the AI lifecycle.
- Optimized Workflows: Move from prototype to production faster with preconfigured environments, container support, and compatibility with popular frameworks like PyTorch and TensorFlow.
Inference for Enterprise at Scale
- AI Cloud Platform: Cirrascale delivers high uptime, resiliency, and scalability — even under the most demanding inference workloads. A serverless implementation makes deployment effortless, with full support for LLMs, generative AI, and multi-modal models.
- Automation to Right-Size Your Needs: The Cirrascale Inference Platform automatically selects the ideal GPU setup based on your model, scalability needs, and real-time or batch requirements — delivering more predictable billing than hyperscalers while supporting higher token volumes.
- Cost-Optimized Performance: Independent benchmarking by Artificial Analysis shows AMD Instinct MI300X GPUs deliver up to 35% higher peak system throughput at high concurrency — translating to lower cost per token for batch processing, high-volume inference, and cost-sensitive production deployments.
Platform Reliability, Security, and Reach
- Dynamic Regional Balancing: Direct connect capabilities power latency-sensitive, real-time applications like voice and multi-modal inference — while batch workloads automatically tap the best available regional resources, with seamless cross-region failover.
- Enterprise-Grade Security and Compliance: SOC 2-certified infrastructure with HIPAA-ready environments for healthcare and other regulated industries.
Evaluate AMD Instinct GPUs on Cirrascale Cloud
Powered by AMD Instinct™ GPUs
