IO.NET vs Together AI

Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs

Deploy clusters in under 90 seconds with auto-scaling capabilities

Choose from containers, Ray clusters, or bare metal based on workload needs

Uses the same distributed computing framework that OpenAI used to train GPT-3

AI models, smart agents, and API integration for workflow automation

Kernel-level VPN with secure mesh protocols for data protection

Access to Llama, DeepSeek, Qwen, and other leading open-source models

Pay-per-token API with OpenAI-compatible endpoints

LoRA and full fine-tuning with proprietary optimizations

Instant self-service or reserved dedicated clusters with H100, H200, B200, GB200, GB300 access

50% cost reduction for non-urgent inference workloads

Execute LLM-generated code in sandboxed environments