ClearGPT
ClearGPT is a generative AI platform designed to overcome enterprise chatbot challenges. The platform utilizes the concept of Large Language Models (LLM) simila...
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What is ClearGPT?
ClearGPT is an enterprise-grade generative AI platform designed for businesses facing security, performance, and data governance challenges when using Large Language Models (LLMs) like ChatGPT. It runs entirely within an organization's secure network, ensuring zero data leakage while protecting intellectual property and customer data privacy. The platform provides the ultimate engine for rapid GenAI project deployment with easy workflows and controlled compute access.
Key features include deploying any LLM with a single click using custom or fine-tuned models from Hugging Face, powered by serving engines like vLLM, Llama.cpp, and Triton. ClearGPT offers dynamic traffic routing for managing data, load balancing, and compute resources across deployed apps and AI agents. The platform provides comprehensive model endpoint monitoring with visibility into request volume, latency, memory usage, and resource utilization for CPUs, GPUs, I/O, and network. ClearML's unified memory technology uses active CPU memory to hold idle models, minimizing inference costs by conserving GPU power for active models.
ClearGPT is designed for enterprises, ML/AI/data science teams, engineers, and business stakeholders across different business units who need secure collaborative space for GenAI projects. It supports 2,100+ organizations worldwide including Fortune 500 companies, academia, public sector agencies, and innovative startups. The platform is suitable for businesses valuing data privacy, security, and unmatched AI innovation that need to automate business processes, improve productivity, enhance product quality, and drive innovation at scale.
ClearGPT pricing
Pricing model: Free
ClearGPT offers a free Community tier suitable for teams up to 3 people, including 100GB free artifact storage, 1GB metric events, 1 million API calls per month, dataset version management, model training, experiment management, model repository, artifacts, pipelines, agent orchestration, CI/CD automation, and reports. The Pro plan starts at $15 USD/month for teams up to 10 people, adding free Community features plus cloud auto-scaling (AWS, GCP, Azure), hyperparameter optimization, pipeline triggers and automation, dashboards, unlimited usage-based pricing for storage and activity, 120GB free artifact storage, 1.2GB metric events, 1.2 million API calls per month. Additional usage costs: $0.1/1GB artifact storage, $0.01/1MB metric events, $1/100k API calls, $0.04/hour per application. No credit card required for Community tier.
ClearGPT pros
- Runs entirely within your secure network for zero data leakage
- Protects intellectual property and customer data privacy
- Deploy any LLM with a single click via simple UI or CLI
- Supports custom and fine-tuned models from Hugging Face
- Powered by multiple serving engines: vLLM, Llama.cpp, Triton
- Dynamic traffic routing for load balancing and resource management
- Comprehensive endpoint monitoring for latency, memory, and resource usage
- Unified memory technology conserves GPU power for active models
- Horizontally scales-out compute on-the-fly during peak periods
- Role-based access control (RBAC) for secure API endpoints
- Model-agnostic platform supporting any LLM type
- Built-in continuous learning adapts to unique enterprise data
- Reduces running costs compared to external AI-as-a-service
- Enables lift-and-shift of app instances without additional work
- Creates customizable UI wizards for internal customers
- Full visibility and tracking of AI agent performance
- NVIDIA AI Enterprise certified for performance benefits
ClearGPT cons
- Requires enterprise infrastructure setup and maintenance
- May need dedicated GPU resources for large-scale deployment
- Complex initial configuration for non-technical teams
- Limited to organizations with existing IT infrastructure
- Higher upfront costs compared to cloud-based AI services
- Requires technical expertise for model fine-tuning
- Self-hosted security responsibilities remain with the organization
- May have slower updates compared to managed cloud services
Frequently asked questions about ClearGPT
What makes ClearGPT stand out from other generative AI platforms?
ClearGPT is the only platform that operates within your company's secure network, ensuring data privacy, intellectual property protection, and customizable AI experiences. Unlike external AI-as-a-service solutions like ChatGPT, no data leaves your premises, eliminating external dependencies and security risks while prioritizing security and data governance.
How does ClearGPT prioritize data security?
ClearGPT ensures zero data leakage through maximum control over enterprise data using role-based access control (RBAC) and strict data governance protocols. The platform controls access to data, models, and API endpoints with authentication, preventing data leakage and protecting sensitive information within your secure network.
What are some key features of ClearGPT?
Key features include security measures preventing data leaks, customizable performance with tailored LLMs for specific business needs, strict data governance protocols, protection of corporate intellectual property, continuous learning mechanisms that adapt to unique business data, single-click LLM deployment, dynamic traffic routing, comprehensive endpoint monitoring, and unified memory technology for cost optimization.
In what ways can enterprises benefit from using ClearGPT?
Enterprises can leverage ClearGPT for business intelligence, customizable chat agents for complex queries, supercharged predictive analytics, and AI-powered product innovation. The platform automates business processes, improves productivity, enhances product quality, helps outmaneuver competitors, creates new AI revenue streams, and drives innovation, productivity, and efficiency at scale while prioritizing data privacy and security.
Can I use my own fine-tuned model with ClearGPT?
Yes, ClearGPT allows you to plug in custom or fine-tuned models from Hugging Face and launch a GenAI app through a simple UI or CLI. You can use your own fine-tuned model to jumpstart testing models for specific use cases and get GenAI apps into production faster, leveraging state-of-the-art LLMs customized to your specific use case.
How does ClearGPT help reduce running costs?
ClearGPT minimizes inference costs through unified memory technology that uses active CPU memory to hold idle models, conserving GPU power for active models only. The platform ensures GenAI apps are always available without paying for dedicated GPU resources, horizontally scales-out compute on-the-fly to conserve GPU power, and reduces running costs compared to external generative AI-as-a-service solutions.
What monitoring capabilities does ClearGPT provide?
ClearGPT provides comprehensive model endpoint monitoring with visibility into all active endpoints and their associated request volume, latency, memory usage, and resource utilization of CPUs, GPUs, I/O, and network. The platform allows you to monitor and police all AI API traffic across your network with full visibility on AI agents, tracking how they are used and how they perform.
Is ClearGPT suitable for small teams or only large enterprises?
ClearGPT is suitable for various organization sizes. The free Community tier is designed for teams up to 3 people, while the Pro plan supports teams up to 10 people. The platform is used by 2,100+ organizations worldwide including innovative startups, Fortune 500 companies, academia, and public sector agencies, offering flexibility for different team sizes and business needs.
How does ClearGPT handle model deployment and scaling?
ClearGPT enables deploying any LLM with a single click through simple UI or CLI, with built-in networking and dynamic pipelines supporting data ingestion, cleansing, training, and vector databases. The platform stores and restores state enabling lift-and-shift of app instances without additional work, starts projects on minimal GPU compute, and easily re-deploys winners onto bigger clusters for scale with on-the-fly horizontal scaling during peak periods.
What is the ClearML infrastructure control plane?
The ClearML infrastructure control plane is the underlying technology that manages all credentials, controls compute resourcing and usage, monitors live endpoints, and provides operational efficiency. It takes care of everything under the hood from authentication to traffic routing, reducing overhead of supporting GenAI use cases at scale while enabling designers to architect GenAI solutions for specific use cases.