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Pricing
No public pricing
NVIDIA H200 GPU: $2.30
NVIDIA H100 GPU: $2.00
NVIDIA Blackwell Platforms: Pre-order
NVIDIA H200 GPU (On-demand): $3.50
NVIDIA H100 GPU (On-demand): $2.95
NVIDIA L40S GPU with AMD (On-demand): from $1.82
NVIDIA L40S GPU with Intel (On-demand): from $1.55
No public pricing
Starter: 135
Team: 1,045
Business: Custom
Enterprise: Custom
Core features
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Flexible architecture for scaling AI workloads
- ✦Pre-configured NVIDIA GPU accelerators with high-performance InfiniBand
- ✦AI Studio for fine-tuning AI models
- ✦Managed Kubernetes and Slurm-based clusters
- ✦Competitive pricing for NVIDIA GPUs
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦AI-powered translation
- ✦Translation management system (TMS)
- ✦Software localization
- ✦Translation portal
- ✦Intelligent automation
- ✦Actionable analytics
- ✦Integration with various tools
Use cases
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Fine-tuning open source models into specialized AI solutions
- →Revolutionizing drug discovery, biotechnology, genomics, and healthtech
- →Orchestrating and scaling AI environments using Managed Kubernetes or Slurm
- →Deploying MLflow, PostgreSQL, and Apache Spark with zero maintenance effort
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Automating multilingual content delivery
- →Localizing software and applications
- →Managing translation workflows
- →Improving customer satisfaction in new regions
- →Ensuring brand consistency across languages
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