Best GPU cloud for inference

Combined ranking

1. 1
   Modal—13 pts

   GPT #2Claude #2Gemini #1

   Industry-leading developer experience with a Python-native SDK, ultra-fast container cold starts, and seamless scale-to-zero serverless GPU execution.

   GPT Best developer experience, with Python-native deployment, per-second billing, scale-to-zero, rapid cold starts, flexible containers, and broad B300/B200/H200/H100 availability

   Claude Best-in-class serverless GPU experience for inference — sub-second cold starts, scale-to-zero, Python-native deployment, and per-second billing that makes bursty inference workloads dramatically cheaper to operate

   To stay #1

   per GPT Expand enterprise-grade regional coverage and capacity guarantees

   per Claude Expand availability of the largest multi-GPU node types (8x H200/B200 class) so big-model inference doesn't force teams onto a traditional cloud

   per Gemini Reduce the pricing premium for sustained, non-bursty workloads to compete with dedicated instance hosting.

2. 2
   CoreWeaveincumbent—11 pts

   GPT #3Claude #1Gemini #3

   The largest AI-native GPU cloud with massive Blackwell/GB200 fleets, Kubernetes-native orchestration, top-tier interconnect and observability, and proven reliability at scale serving major AI labs and inference-heavy enterprises

   GPT Exceptional large-scale NVIDIA GPU capacity, high-performance networking, Kubernetes-native infrastructure, reserved capacity, and managed inference autoscaling

   Gemini Provides massive scale, high-performance InfiniBand interconnects, and enterprise-grade Kubernetes-native infrastructure optimized for heavy, multi-node inference workloads.

   To rank higher

   per GPT Make onboarding and small-scale deployments as simple as serverless competitors

   per Claude Offer a true pay-as-you-go serverless inference tier so smaller teams aren't pushed toward reserved contracts and enterprise minimums

   per Gemini Remove the high minimum spend requirements and long sales cycle to make high-performance clusters self-serve for smaller startups.

3. 3
   Baseten—8 pts

   GPT #1Claude #4Gemini #5

   Best overall production inference platform: optimized model serving, fast autoscaling, strong observability, multi-cloud capacity, private-VPC deployment, and excellent support for custom models

   Claude Inference-first platform with strong TensorRT-LLM/engine-level optimizations, multi-cloud capacity management, fast autoscaling, and enterprise readiness (SOC 2, VPC deployments) that consistently wins latency benchmarks

   Gemini Streamlines production LLM deployment and monitoring using the open-source Truss framework, backed by excellent out-of-the-box observability and scaling.

   To rank higher

   per GPT Publish simpler, fully transparent GPU pricing

   per Claude Bring list prices closer to commodity GPU rates — its optimization premium prices out cost-sensitive high-volume workloads

   per Gemini Optimize cold-start latency for large-scale transformer models to better handle sudden spikes in traffic.

4. 4
   RunPod—7 pts

   GPT #4Claude #5Gemini #2

   Offers a highly flexible hybrid model combining serverless GPU containers with persistent GPU pods at extremely competitive price-to-performance ratios.

   GPT Excellent price-to-performance, wide GPU selection, low-cost dedicated Pods, pay-per-second Serverless workers, and straightforward container deployment

   Claude Cheapest practical path to production inference — serverless GPU workers, per-second billing, huge GPU variety across secure and community tiers, and a simple API loved by indie builders and startups

   To rank higher

   per GPT Deliver consistently reliable GPU availability and cold-start performance

   per Claude Close the reliability and cold-start consistency gap with premium clouds, especially variance on community-cloud nodes

   per Gemini Improve the developer tools and SDK ergonomics to match the seamless, code-first automation of Modal.

5. 5
   Together AI—3 pts

   GPT —Claude #3Gemini —

   Purpose-built inference stack (from the FlashAttention lineage) with excellent throughput/latency on open models, both serverless endpoints and dedicated GPU clusters, and aggressive per-token pricing

   To rank higher

   per Claude Give dedicated-capacity customers more raw infrastructure control (custom containers, networking, orchestration) instead of steering everything through its managed endpoints

6. 6
   Lambda Labs—2 pts

   GPT —Claude —Gemini #4

   Delivers the best-in-class on-demand pricing for high-end NVIDIA GPUs (H100/H200/B200) with a clean, developer-first VM provisioning interface.

   To rank higher

   per Gemini Introduce a fully managed, scale-to-zero serverless container platform to remove the overhead of persistent VM management.

7. 7
   Google Cloud Vertex AIincumbent—1 pts

   GPT #5Claude —Gemini —

   Strong global infrastructure, mature security and governance, managed endpoints, autoscaling, Model Garden integration, and access to NVIDIA GPUs plus Google TPUs

   To rank higher

   per GPT Simplify pricing and deployment configuration while reducing inference overhead

Just missed the top 5

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously