Float16.cloud

Float16.cloud is a comprehensive, developer-first platform engineered to streamline and accelerate the entire AI development lifecycle. It provides a powerful serverless GPU infrastructure, allowing developers and data scientists to build, train, and deploy AI models with unprecedented speed and efficiency. The core of the platform is its Serverless GPU service, which offers on-demand access to cutting-edge NVIDIA H100 GPUs. This eliminates the complexities of infrastructure management, enabling users to focus purely on coding and model development.

The platform is built for speed and simplicity. It boasts the fastest GPU spin-up time on the cloud, providing ready-to-run compute instances in under a second. This is achieved through pre-warmed containers, effectively eliminating cold starts and waiting times. With a zero-setup environment, Float16.cloud handles all the underlying complexities, including Dockerfiles, launch scripts, CUDA drivers, and Python environments, freeing developers from DevOps overhead.

How to use Float16.cloud

Getting started with Float16.cloud is designed to be intuitive for developers. The platform is CLI-first but also offers a fully integrated web-based dashboard for monitoring and management.

1. Sign Up: Create an account using GitHub or Google for authentication. New users can start with a free trial without needing a credit card.
2. Choose a Service: Decide between Serverless GPU for custom tasks or One-Click LLM Deployment for standard models.
3. For Serverless GPU: Simply upload your Python script (.py) via the CLI or web UI. The platform automatically containerizes and executes your code on an H100 GPU. You can run training pipelines, batch processing jobs, or deploy an API endpoint.
4. For One-Click LLM Deployment: Use a single CLI command to deploy open-source models like LLaMA, Qwen, or Gemma directly from Hugging Face. Float16.cloud instantly provisions a production-ready, secure HTTPS endpoint for your model.
5. Manage and Monitor: Use the dashboard or CLI to access real-time logs, view job history, inspect request-level metrics, and manage files. Files can be uploaded from a local machine or a remote S3 bucket and are automatically mounted into the container at runtime.

Core Features of Float16.cloud

• Serverless H100 GPUs: Instant access to NVIDIA H100 GPUs with no server management required.
• Sub-Second Spin-Up: Pre-warmed containers eliminate cold starts, providing compute resources in under 100ms.
• Native Python Execution: Run Python scripts directly without creating Dockerfiles or managing environments.
• Pay-Per-Use Billing: True per-second billing ensures you only pay for the compute time you use, with no idle costs.
• Spot Instances: A cost-effective Spot mode for long-running tasks like model training and fine-tuning.
• One-Click LLM Deployment: Deploy popular open-source LLMs with a single command, getting a production-ready API endpoint instantly.
• Integrated Developer Tools: A powerful CLI, a comprehensive web dashboard, integrated file I/O (local & S3), and detailed logging and tracing.
• Security and Compliance: Achieved SOC 2 Type I and ISO 29110 certifications, with data encrypted at rest and in transit.
• LLM Playgrounds: A suite of tools including a Prompt Playground, Quantize Benchmark, Chatbot, Text2SQL, and Tokenizer to experiment and optimize models.

Use Cases for Float16.cloud

The platform supports a wide range of AI applications:

• LLM Inference Serving: Deploy open-source LLMs as scalable, low-latency API endpoints for production applications.
• Model Training & Fine-Tuning: Execute training pipelines on cost-effective spot GPUs using your existing Python codebase.
• Rapid Prototyping (Google Colab Alternative): Use the development mode for proofs-of-concept, testing, and experimentation with access to powerful H100 GPUs.
• Semantic Search: Build and accelerate semantic search pipelines, including embedding, vector search, and reranking on GPUs for high-performance results.
• Knowledge Agents: Develop intelligent agents that can interact with documents (PDFs) and databases (SQL) to extract insights and visualize data.

Advantages of Float16.cloud

Float16.cloud offers significant advantages over traditional cloud providers. Its primary benefit is the combination of extreme simplicity and raw performance. The zero-setup, serverless model drastically reduces time-to-market for AI applications. The per-second billing and affordable spot instances make powerful GPU computing accessible and cost-effective for both individuals and enterprises. Furthermore, its focus on the developer experience, with robust CLI and monitoring tools, ensures a smooth and productive workflow. The platform's specialization in models for Southeast Asian languages also provides a unique edge for developers targeting that region.

Pricing and Plans

Float16.cloud offers a transparent and flexible pay-per-use pricing model, designed to scale with your needs. There are no upfront commitments or idle charges.

• Serverless GPU (NVIDIA H100)
• On-demand: $0.006 per second ($21.60 per hour)
• Spot: $0.0012 per second ($4.32 per hour)

Both pricing modes include CPU, memory, and free storage. The platform offers a free trial for new users, which includes 500 free runs or requests to get started. For larger needs, enterprise, self-hosted, or fully-managed service plans are available upon request.