CUDO Compute vs Together AI: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for CUDO Compute and Together AI. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
CUDO Compute is a sustainability-focused GPU cloud providing H100 SXM, H100 PCIe, and A100 clusters powered by verified renewable energy across EU and US data centers. In 2025–2026 CUDO expanded its GPU catalog to include H200 instances, launched a carbon reporting dashboard that gives teams verifiable emissions data per workload, and strengthened its enterprise SLA offering with 99.9% uptime SLA and dedicated account management. CUDO is one of the few GPU cloud providers that can supply both the compute and auditable green energy certificates (RECs) in a single contract — a meaningful differentiator for enterprises with ESG reporting obligations. EU data residency and GDPR compliance are built in across all European regions.
- Verified renewable energy with auditable RECs per workload
- Carbon reporting dashboard — emissions data per job for ESG reporting
- H200, H100 SXM, and A100 clusters with 99.9% uptime SLA
- EU data residency and GDPR compliance across all EU regions
- Dedicated account management on enterprise plans
- Smaller provider — cluster scale limited vs CoreWeave or Lambda for 100+ GPU jobs
- Fewer GPU SKUs than hyperscalers
- Self-serve onboarding slower than pure on-demand providers
No reviews yet — add yours ↗
Together AI is a full-stack AI platform combining a high-throughput inference API (200+ open-source models), dedicated GPU clusters (H100 SXM, A100), and a managed fine-tuning service. Together MoE optimization cuts costs on large mixture-of-experts models. Function calling and JSON mode across all major models. Fine-tuning: LoRA and full fine-tune for Llama, Mistral, and Qwen. GPU cloud: H100 SXM and A100 clusters for large-scale training. Check api.together.ai/models for current per-token rates.
- 200+ open-source models — wide inference API catalog
- Llama 4 Scout — competitive frontier-open pricing
- Together MoE optimization reduces cost on large MoE models
- Managed fine-tuning: LoRA and full fine-tune for Llama, Mistral, Qwen
- Function calling and JSON mode across all major models
- GPU cloud + inference API from one vendor
- GPU cloud side less polished than pure-play providers like CoreWeave
- Inference API latency trails Fireworks and Cerebras on speed benchmarks
- Enterprise SLAs require custom contracts — not self-serve
No reviews yet — add yours ↗
Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
More CUDO Compute comparisons
Key differences
CUDO Compute
Sustainable GPU cloud — green energy H100 and A100 with EU data sovereignty
Together AI
Full-stack AI platform — 200+ models, GPU cloud, fine-tuning, and Together MoE optimization