NVIDIA NIM — NVIDIA Inference Microservices
Workload Suitability Matrix: Multi-Node Training: NVIDIA NIM provides inference microservices optimized for NVIDIA GPUs; designed for production inference workloads. Spot Inference Prototyping: 1,000 ...
Hosted Models & Token Rates
| MODEL | TOKENS/SEC | INPUT /1M | OUTPUT /1M | FREE TIER | CONTEXT |
|---|---|---|---|---|---|
DeepSeek R1 | 500 tok/s | $0.00 | $0.00 | — | 128K |
Llama 3.3 70B Instruct | 500 tok/s | $0.00 | $0.00 | 30 RPM / 14,400 RPD | 128K |
Qwen 2.5 Coder 32B | 500 tok/s | $0.10 | $0.15 | 20 RPM | 128K |
GPT-4o | 500 tok/s | $0.10 | $0.15 | — | 128K |
Nemotron-4 340B Instruct | 500 tok/s | $0.10 | $0.15 | — | 128K |
Technical Nuances & Editorial Analysis
Workload Suitability Matrix: Multi-Node Training: NVIDIA NIM provides inference microservices optimized for NVIDIA GPUs; designed for production inference workloads. Spot Inference Prototyping: 1,000 promotional API credits for developers; OpenAI-compatible endpoints; NVIDIA's inference stack provides optimized performance on NVIDIA hardware. Persistent Production API: Enterprise-grade inference with NVIDIA GPU acceleration; supports Llama 3.3 70B and other frontier models via NVIDIA NIM containers.
Billing Granularity
per-token
How charges are calculated
Hidden Costs
Standard API pricing after 1,000 promotional credits are exhausted
Watch out for these fees
Free Tier
1,000 free promotional API credits for developers
Credit requirements and caps
Best Use Case
Best for API-based LLM inference
Ideal workload profile