Cerebras Inference

Cerebras InferenceSince 2024-08

Cerebras Inference is the world's fastest AI inference platform, powered by the revolutionary Cerebras CS-3 Wafer-Scale Engine (WSE-3). Delivering unprecedented speeds exceeding 2,100 tokens per second on Llama 3.1 8B and over 450 tokens per second on Llama 3.1 70B, Cerebras runs AI inference up to 20x faster than traditional NVIDIA GPU clusters. By replacing traditional GPU memory bandwidth bottlenecks with 44 Gigabytes of on-chip SRAM across a monolithic silicon wafer, Cerebras achieves instantaneous response times that transform conversational AI, real-time code synthesis, and multi-step agentic reflection loops into fluid, zero-latency interactions.

Traditional GPUs are limited by external HBM/DRAM bandwidth, forcing token generation to stall while weights are retrieved across PCIe buses. The Cerebras WSE-3 features 900,000 AI-optimized compute cores and 21 Petabytes/sec of memory bandwidth directly on a single silicon wafer. Cerebras Inference provides a 100% OpenAI-compatible API, allowing developers to switch their application endpoints with zero code modifications. It supports streaming completions, tool calling, JSON structured schemas, and massive token context lengths with guaranteed instantaneous time-to-first-token.

KestraSince 2022-06

Kestra is an open-source, event-driven orchestration platform built to automate and coordinate complex data pipelines, microservices, and multi-agent AI systems. With a modern declarative YAML-first architecture, Kestra enables engineering teams to manage scheduled tasks, webhook triggers, distributed compute jobs, and LLM agent pipelines through code or a rich interactive UI. The platform provides over 600+ pre-built plugins spanning major cloud providers (AWS, GCP, Azure), databases (Postgres, Snowflake, BigQuery), and modern AI ecosystems (OpenAI, LangChain, Hugging Face, Vector DBs). Workflows can execute parallel compute tasks, branch conditionally, manage secrets securely, and handle automated retries with exponential backoff. Kestra eliminates the operational overhead of legacy orchestrators by running statelessly on top of modern container runtimes and Kubernetes, providing real-time workflow visualizers, sub-millisecond execution triggers, and enterprise-grade role-based access control.

Kestra’s architecture is built around an event-driven core powered by Apache Kafka or PostgreSQL for distributed queuing and high-throughput execution guarantees. Each workflow is version-controlled in Git as a declarative YAML specification, enabling full CI/CD integration and infrastructure-as-code automation. For AI engineering, Kestra serves as the deterministic execution backbone: triggering RAG indexing pipelines, coordinating distributed fine-tuning runs, provisioning transient GPU containers, and validating agent tool calls against production database replicas. The platform includes embedded Python, Node.js, and Bash script runners with isolated container sandboxes, comprehensive OpenTelemetry distributed tracing, and real-time execution dashboards.