The Future of
Workload Execution

AI workloads without limits—train, fine-tune, and deploy models faster, at lower cost, and with zero complexity.
FlexAI’s Workload as a Service (WaaS) dynamically scales, adapts, and self-recovers—ensuring your AI workloads always run on the best infrastructure for speed, cost, and reliability.
No infrastructure bottlenecks. No wasted compute. No downtime.

Workload as a Service (WaaS)

FlexAI’s WaaS eliminates infrastructure complexity, seamlessly supporting training, fine-tuning, and inference via an optimized workflow.

Optimize

Leverage proven fine-tuning, inferencing and training recipes for chatbots, RAG, and enterprise AI

Deploy

Auto-select the best infrastructure for your job—on-prem or cloud—based on latency, throughput (TPT), and cost

Scale

Run AI workloads at any scale with workload-aware placement and self-healing execution

AI Workloads
That Just Work

Training

Spin up GPU clusters instantly for LLMs and custom models.

Auto-scales to demand—no wasted resources

Runs across cloud, on-prem, or hybrid environments

Fine-Tuning

Fine-Tune your own and open-source models with your domain data.

Enterprise-grade fine-tuning recipes for chatbots, RAG, and domain-specific AI

Seamlessly scale without infrastructure burden

Inference

Deploy high-performance inference endpoints instantly with workload-aware optimization.

Auto-optimized runtime selection – lower latency, lower cost

Self-healing workloads ensure uninterrupted serving

Deploy anywhere—cloud, hybrid, or on-prem

No Vendor Lock-In.
No Limits.

Run Workloads Anywhere—Your Way.

Deploy Workloads Anywhere

Deploy across AWS, Azure, GCP, or private clouds.

Compatible with NVIDIA, AMD, AWS, Tenstorrent, and future architectures.

Own your data, with the ability to bring your own storage or integrate with leading storage solutions.

Future-proof execution—adapt to new technologies seamlessly.

Intelligent. Resilient. Limitless.

The Future of Workload Execution Starts Here