XFLOPS is an open source community dedicated to helping enterprises build AI applications. We provide tools, frameworks, and best practices—including Flame, a distributed engine delivering secure, cost-effective, and high-performance infrastructure for AI workloads.

• Elastic — Scale workloads dynamically based on demand with auto-scaling capabilities and resource optimization.
• Security — Session-based authentication and authorization for secure access to elastic workloads running in microVMs.
• Cost Effective — Advanced scheduling algorithms that optimize resource utilization and workload distribution.
• Heterogeneous — Support for various hardware configurations including GPUs, TPUs, and specialized accelerators.
• High Performance — Optimized for maximum throughput, ensuring elastic workloads run at peak efficiency.
• Cloud Native — Designed with Cloud Native architecture, deployable on any cloud platform or on-premise.

Flame is our flagship distributed engine for elastic workloads, providing a comprehensive suite of mechanisms commonly required by various classes of elastic workloads, including AI/ML, HPC, Big Data, and more.

• Scale — Workloads scale across multiple nodes to maximize performance while ensuring fair resource sharing across tenants and sessions.
• Performance — Cutting-edge features improve roundtrip times and throughput in large-scale environments, with intelligent runtime sharing to minimize startup time.
• Security — MicroVM runtime with session-dedicated executors prevents data leakage; all components communicate using mTLS.
• Flexibility — General APIs support multiple scenarios across Rust, Go, and Python via gRPC.