Fireworks AI vs Hyperstack

Text, vision, audio, image, and embedding models, including recent releases such as Kimi K3, GLM 5.2, DeepSeek V4, MiniMax M3, and Qwen3.7 Plus

Industry-leading throughput and latency with fast inference engine

SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters, from guided runs through writing your own trainer and RL loop

Drop-in replacement for closed-model APIs - change the base URL to migrate, with the same SFT data format for fine-tuning

H100, H200, B200, B300, and GB300 deployments with per-second billing and autoscaling

Async bulk inference jobs run at scale for less than standard serverless requests

Automated software deployment, scaling and management

Optimized templates for GPU-accelerated workloads with custom flavor options

Purpose-built API designed specifically for GPU cloud operations

Network architecture optimized for maximum GPU efficiency

Multiple storage options including NVMe, HDD block, and HDD Shared storage