Keywords AI
Groq vs Vultr
Compare Groq and Vultr side by side. Both are tools in the Inference & Compute category.
Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | Freemium | usage-based |
| Best For | Developers building real-time AI applications where inference speed is the top priority | Developers and enterprises needing GPU compute |
| Website | groq.com | vultr.com |
| Key Features |
|
|
| Use Cases |
| — |
When to Choose Groq vs Vultr
- Real-time AI applications needing lowest latency
- Interactive conversational AI
- High-throughput batch inference
About Groq
Groq builds custom AI inference chips (Language Processing Units / LPUs) designed for extremely fast token generation. Groq's cloud platform offers the fastest inference speeds in the market, generating hundreds of tokens per second for models like Llama and Mixtral. The company's hardware architecture eliminates the memory bandwidth bottleneck that limits GPU-based inference, making it ideal for real-time and latency-sensitive AI applications.
About Vultr
Cloud compute provider with GPU instances for AI inference workloads.
What is Inference & Compute?
Platforms that provide GPU compute, model hosting, and inference APIs. These companies serve open-source and third-party models, offer optimized inference engines, and provide cloud GPU infrastructure for AI workloads.
Browse all Inference & Compute tools →