{"slug": "quanton-fast-compute-engine-for-apache-spark", "title": "Quanton: Fast compute engine for Apache Spark", "summary": "Quanton has launched a high-performance compute engine for Apache Spark that delivers faster execution through SIMD-vectorized processing and storage-aware planning, with no migration or code rewrites required. The engine embeds an AI assistant directly into the Spark UI to diagnose jobs in real time and offers pricing based on gigabytes processed rather than compute hours burned. Quanton runs on any Kubernetes cluster in the cloud or on-premises, allowing users to retain spot and reserved-instance savings that can reduce infrastructure costs by up to 70 percent.", "body_md": "#\nSpark at full speed,\n\nnow with AI.\n\nOne engine that runs everywhere. Drop Quanton into your existing Spark stack in minutes — no migration, no rewrites. AI superpowers directly on Spark UI.\n\n### Unmatched Speed\n\nFaster with SIMD-vectorized execution. Smarter with storage-aware planning, incremental rewrites, and background indexing across your lakehouse.\n\n### Runs Anywhere\n\nRun in the cloud or on-prem using our Kubernetes operator built on the kubeflow SparkApplication CRD. Or directly run it in your existing Spark platform.\n\n### AI Spark Engineer, embedded\n\nLives inside the Spark UI with live access to configs, runtime, heap, and GC. Backed by a knowledge server trained on a decade of Spark and lakehouse expertise.\n\n## AI assistance\n\nfor every Spark job.\n\nQuanton AI watches every job, diagnosing issues in real time, and guiding you from your first DataFrame to debugging large-scale production pipelines.\n\n## Radically fair\n\npricing.\n\nPay by GB processed, not by compute hours burnt — every speedup we ship cuts your infra bill while keeping your Quanton bill flat. Quanton runs in your own Kubernetes, so spot and reserved-instance savings stay yours, not ours — up to 70% on top.\n\n* Estimates for illustrative purposes only. Actual costs vary by workload, usage, and vendor pricing.\n\n## You're not alone\n\nin this.\n\nWe've been where you are — pioneering the Lakehouse and running planet-scale ones at Uber and LinkedIn. Now we show up in your Slack, merge PRs fast, and take Spark seriously.\n\n### Talk to an engineer\n\nAsk the team who built Quanton. Real engineers, real answers, no sales pitch.\n\n[Join us on Slack →](https://quanton.short.gy/onehouse-slack)\n\n### Try it yourself\n\nSkip the chit-chat. Spin up a cluster on your laptop and see the speed difference in under 10 minutes.\n\n[View on GitHub →](https://github.com/onehouseinc/quanton-operator/)\n\n### Office Hours\n\nWeekly open Q&A — bring your Quanton and Spark questions. Every Wednesday at 9 AM PT.\n\n[View schedule →](/office-hours)\n\n## Ready to make Spark fast?\n\nDeploy the Quanton Operator in under 10 minutes.\n\nClick a card or use the arrows to explore.", "url": "https://wpnews.pro/news/quanton-fast-compute-engine-for-apache-spark", "canonical_source": "https://quanton.dev/", "published_at": "2026-05-29 12:25:49+00:00", "updated_at": "2026-05-29 12:47:01.178333+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-tools", "ai-products", "ai-startups", "mlops"], "entities": ["Quanton", "Apache Spark", "Spark UI", "Kubernetes", "kubeflow", "Uber", "LinkedIn"], "alternates": {"html": "https://wpnews.pro/news/quanton-fast-compute-engine-for-apache-spark", "markdown": "https://wpnews.pro/news/quanton-fast-compute-engine-for-apache-spark.md", "text": "https://wpnews.pro/news/quanton-fast-compute-engine-for-apache-spark.txt", "jsonld": "https://wpnews.pro/news/quanton-fast-compute-engine-for-apache-spark.jsonld"}}