Together AI vs Akamai Cloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Together AI and Akamai Cloud. Updated July 2026.
Provider Overview
Strengths & Best For
Together AI provides dedicated H100 and A100 GPU clusters with fast networking, purpose-built for open-source LLM training, fine-tuning, and high-throughput AI inference. On-demand GPU cloud access is paired with a developer-friendly platform that supports popular open models out of the box, reducing time-to-deployment for AI teams. A strong choice for startups and researchers who want managed GPU infrastructure without hyperscaler overhead.
- Inference-optimized
- Open-source LLM support
- Fast networking
- Developer-friendly
Akamai Cloud (formerly Linode) offers RTX 4090 and A100 GPU instances backed by Akamai's global CDN and edge network, providing strong network performance and competitive on-demand pricing for AI inference workloads that need global distribution. Available across multiple regions worldwide, it is a natural fit for teams already using Akamai's CDN who want to co-locate GPU inference close to their edge infrastructure. A solid GPU cloud option for inference-heavy applications where network latency and global reach matter.
- Global edge network
- Competitive pricing
- Multiple regions
- Strong network performance
Live GPU Pricing
Region Coverage
Popular Comparisons
Together AI — specialist provider
Together AI provides dedicated H100 and A100 GPU clusters with fast networking, purpose-built for open-source LLM training, fine-tuning, and high-throughput AI inference. On-demand GPU cloud access is paired with a developer-friendly platform that supports popular open models out of the box, reducing time-to-deployment for AI teams. A strong choice for startups and researchers who want managed GPU infrastructure without hyperscaler overhead.
Akamai Cloud — specialist provider
Akamai Cloud (formerly Linode) offers RTX 4090 and A100 GPU instances backed by Akamai's global CDN and edge network, providing strong network performance and competitive on-demand pricing for AI inference workloads that need global distribution. Available across multiple regions worldwide, it is a natural fit for teams already using Akamai's CDN who want to co-locate GPU inference close to their edge infrastructure. A solid GPU cloud option for inference-heavy applications where network latency and global reach matter.
Billing model comparison
Together AI uses a On-demand, Reserved billing model with a minimum commitment of None. Akamai Cloud uses On-demand billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Together AI is best suited for: LLM inference, Fine-tuning open models, AI startups. Its key strengths are inference-optimized, open-source llm support, fast networking. Akamai Cloud is best suited for: Inference with global distribution, Teams already on Akamai/Linode, Multi-region deployments. Its key strengths are global edge network, competitive pricing, multiple regions. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Together AI offers Community → Enterprise support across 2 regions (US-East, US-West). Akamai Cloud offers Standard → Enterprise support across 3 regions (US, EU, APAC). Akamai Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Together AI vs Akamai Cloud
Together AI was founded in 2022 and is headquartered in San Francisco, CA. Akamai Cloud was founded in 2003 and is headquartered in Cambridge, MA. Akamai Cloud has 19 years more operational history than Together AI, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.