Accelerate AI Integration
for Your Products
Accelerate AI Integration
for Your Products
Accelerate AI Integration
for Your Products
Accelerate AI Integration
for Your Products
OmniStack equips devs / teams with the infrastructure and tools to deploy, trace, manage prompts, evaluate, build pipelines, and maintain high uptime for your AI applications and agentic needs.
OmniStack equips devs / teams with the infrastructure and tools to deploy, trace, manage prompts, evaluate, build pipelines, and maintain high uptime for your AI applications and agentic needs.
Get a demo
Get a demo
Get a demo
Get a demo
Get a demo
Partners you Trust
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
Our platform
OmniModels
OmniDeploy
PIpeline
Overview
Observability
Evaluation
Get Started
L
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
In Beta
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
In Beta
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
In Beta
Our platform
OmniModels
OmniDeploy
PIpeline
Overview
Observability
Evaluation
Get Started
L
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
In Beta
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
In Beta
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
In Beta
Our platform
OmniModels
OmniDeploy
PIpeline
Overview
Observability
Evaluation
Get Started
L
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
In Beta
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
In Beta
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
In Beta
Our platform
OmniModels
OmniDeploy
PIpeline
Overview
Observability
Evaluation
Get Started
L
Usage-Based AI Optimization Alerts
OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.
Coming Soon
OmniModels: Ready-to-Use AI Models
Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.
OmniDeploy: Effortless AI Deployment
Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.
Pipeline: Inference Workflows
Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.
In Beta
Observability: Complete Inference Insights
Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.
Evals: Automated Model Testing
Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.
In Beta
Prompt Management: Git for Prompts
Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.
In Beta
The Inference Engine For Developers
The Inference Engine For Developers
The Inference Engine For Developers
Partners you Trust