Serverless inference with pay-per-use token pricing ($0.0015 to $4.50 per 1M tokens for chat/vision models). Provisioned throughput with reserved PTUs for committed capacity. Dedicated GPU endpoints at $5.49-$8.99 per hour. Fine-tuning from $0.34-$40 per 1M tokens. GPU clusters at $1.99-$9.99 per GP
Not given
Key features
GPU clusters at scale with autoscaling
Voice agent infrastructure with sub-second latency
Comprehensive model library with 25+ regions
Connect once through MCP endpoint across Claude, ChatGPT, Cursor and Claude Code
Shared memory automatically synced across all connected AI tools
Plain markdown storage with YAML frontmatter
EU-hosted data with no vendor lock-in
Lexical search across memory
No API keys or complex configuration needed
Account created automatically on first connection
What makes it different
2x faster inference powered by cutting-edge research optimization
60% lower cost with workload-specific optimization
90% faster pre-training with Together Kernel Collection
Research-optimized infrastructure with proprietary kernels
Single unified API across multiple model providers
Cross-vendor memory through MCP instead of locked to one assistant
Plain readable markdown you own forever, not black-box vectors or rented format
EU-hosted by architecture so data stays in your region
Survives AI tool changes and deprecations unlike built-in assistant memory
No maintenance needed unlike DIY scripts and cron jobs