Groq's custom Language Processing Units (LPUs) deliver the fastest LLM inference available, with response times measured in milliseconds. Combined with Pixeltable's declarative infrastructure, you can build real-time AI applications that feel instantaneous.
Groq: The Speed Revolution in LLM Inference#
Groq has redefined what's possible with LLM inference speed. Their custom-designed LPU architecture delivers tokens at rates that make traditional GPU inference feel sluggish.
When combined with Pixeltable's declarative infrastructure, you get both world-class speed and enterprise-grade data management.
Speed Comparison#
| Provider | Model | Typical Latency |
|---|---|---|
| Groq | Llama 3.3 70B | ~200ms |
| OpenAI | GPT-4o | ~2-5s |
| Anthropic | Claude 3.5 | ~2-4s |
Available Models#
- Llama 3.3 70B Versatile: Best for general tasks
- Mixtral 8x7B: Efficient mixture of experts
- Gemma 2 9B: Google's efficient open model
- Llama Guard 3: Content moderation and safety
Getting Started#
bash
Basic Chat Completions#
python
Real-Time Content Classification#
python
Cost Efficiency#
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| Llama 3.3 70B | $0.59 | $0.79 |
| Mixtral 8x7B | $0.24 | $0.24 |
| Gemma 2 9B | $0.20 | $0.20 |
