About
Predibase is a platform that offers tools for fine-tuning and serving large language models (LLMs). It allows enterprises to deploy LLMs on their cloud infrastructure or use Predibase's cloud, providing flexibility in managing AI workloads. Predibase specializes in quantization, low-rank adaptation, and memory-efficient distributed training to customize LLMs efficiently. The platform offers a scalable serving infrastructure, using technologies like Turbo LoRA and LoRAX, which enable cost-effective serving of fine-tuned adapters on private serverless GPUs. Users can try open-source LLMs quickly, determine the best base models for their use cases, and experiment with them through a user-friendly UI or minimal code. Additionally, Predibase supports secure deployments in virtual private clouds, SOC-2 compliance, and ensures users retain IP control, with export options available for trained models. The platform reduces AI costs by facilitating the customization of task-specific smaller models at industry-leading prices, improving inference speed, and enhancing production deployment flexibility.
Competitive Advantage
Predibase provides a combination of cutting-edge optimization techniques for LLMs with cost-effective deployment solutions, ensuring flexibility and security in cloud or private environments.
Use Cases
Pros
- Cost-effective model serving
- Scalable infrastructure
- SOC-2 compliant security
- User-friendly UI and code integration
Cons
- Complex pricing structure
- Limited to open-source models
- Requires technical expertise
- Service primarily cloud-focused
Tags
Pricing
Who uses Predibase?
Features and Benefits
Turbo LoRA and LoRAX
Enables serving of numerous fine-tuned models on a single GPU for cost efficiency without compromising speed.
SOC-2 Compliance
Ensures secure data handling within virtual private clouds, providing assurance for enterprise security needs.
Auto-scaling Infrastructure
Automatically adjusts server resources to meet demands, reducing operational costs without manual intervention.
User-friendly UI
Allows users to experiment with LLMs using minimal code or through a simple interface, facilitating ease of use.
Integrations
Target Audience
Frequently Asked Questions
Predibase is a platform for fine-tuning and serving large language models.
Yes, Predibase supports deployment in your virtual private cloud.
Predibase uses Turbo LoRA and LoRAX for cost-effective LLM serving.
Yes, users can export their trained models and retain IP control.
Pricing is per 1M tokens and varies based on model size and features like Turbo LoRA.
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