Train & Serve Any GenAI Model. At Scale.
Fine-tune, deploy, scale, and monitor in your infra or ours
Trusted by Machine Learning teams from
Trusted by Machine Learning teams from
The Fastest Path from Model to Market
15× faster fine-tuning, <500 ms scaling, and full hardware flexibility all in one platform.
Fine-tune Llama 3.1 8B with SFT for Chatbot
Train any model on datasets of any type & size with fastest distributed compute
Run jobs for any model (text, speech, image)
Support for multiple techniques: PEFT (LoRA, QLoRA), SFT, RFT, GRPO and DPO
Run jobs in your cloud or our cost-efficient managed setup
Start Training Job
Push models to production in 3 clicks
Serve models as low-latency APIs, batch jobs, or streaming endpoints
Choose from popular listed models, or import custom weights
Pick a proxy type: sync, async, async real-time
One control plane to manage deployments across your cloud
Autoscale Based on Your SLAs
Handle bursty workloads with autoscaling logic tailored to your use case
Pod-spinup time less than 500ms
Autoscale based on latency, concurrency, and memory-usage
Scale down to zero in case of no traffic
Monitor Every Run. Keep SLAs In Check.
Built-in observability across training, inference, and scaling pipelines
Real-time dashboards for latency, throughput, and cluster health
Support for Grafana dashboards, Prometheus and Open Telemetry native
Run and compare benchmarking jobs
Find out what is tailor-made inference for you.
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