Google Cloud AI Infrastructure vs. Friendli AI
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud AI Infrastructure | Friendli AI |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 45 | 22 |
| Ease of use | 9.2 | 8.7 |
| Ease of setup | 9.2 | 8.6 |
| Quality of support | 9.0 | 7.8 |
| Meets requirements | 9.1 | 8.6 |
| NPS | 71.111111 | 63.636364 |
| Small Business | 48.9% | 54.5% |
| Mid-Market | 37.8% | 31.8% |
| Enterprise | 13.3% | 13.6% |
| Total page views | 216 | 18 |
| Total LLM citations | 572 | 2 |
Google Cloud AI Infrastructure
Google Cloud AI Infrastructure offers a scalable, high-performance, and cost-effective platform tailored for diverse AI workloads, encompassing both training and inference tasks. By integrating advanced hardware accelerators such as GPUs and TPUs with managed services like Vertex AI and Google Kubernetes Engine (GKE), it enables efficient development, deployment, and scaling of AI models.
- Scalability
- Computing Power
- Integrations
- Ease of Use
- Efficiency
- Cloud Services
Friendli AI
FriendliAI is The Frontier AI Inference Cloud. Built by the researchers who invented the continuous batching technique that is now industry standard, FriendliAI provides AI engineers with a highly optimized engine that constantly evolves to efficiently run state-of-the-art open-weight and custom models at production scale. By maximizing GPU utilization, FriendliAI delivers speeds up to 3x faster than vLLM, and 50% to 90% cost savings relative to closed model APIs. FriendliAI empowers engineers to deploy frontier AI with uncompromising speed, model ownership, and enterprise-grade reliability.