Serve on Badgr
Serve Llama 3.1 70B Instruct
Large-scale Llama model for production-grade reasoning and long context.
Recommended GPU
A100 80GB
Available regions
United States, Europe, Asia Pacific
Estimated cost range
$1.25 – $1.35/hr
Startup time
3–8 min
Also runs well on H100 80GB, H200 141GB.
OpenAI-compatible API example
from openai import OpenAI
client = OpenAI(base_url="https://api.aibadgr.com/v1", api_key="YOUR_BADGR_API_KEY")
response = client.chat.completions.create(
model="llama-70b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Run command
badgr serve llama-70b \
--gpu A100 80GB \
--max-cost 10Context length: 128K tokens · Model ID: meta-llama/Llama-3.1-70B-Instruct
Recommended Badgr routes
A100 80GB · United States
Availablefrom $1.25/hr
Best for
LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct
Startup: 3–8 min
Reliability: High
Last checked: just now
A100 80GB · Europe
Availablefrom $1.25/hr
Best for
LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct
Startup: 3–8 min
Reliability: Good
Last checked: just now
A100 80GB · Asia Pacific
Availablefrom $1.25/hr
Best for
LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct
Startup: 3–8 min
Reliability: High
Last checked: just now
A100 80GB · United States
Availablefrom $1.35/hr
Best for
LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct
Startup: 3–8 min
Reliability: High
Last checked: just now
A100 80GB · United States
Availablefrom $1.35/hr
Best for
LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct
Startup: 3–8 min
Reliability: Good
Last checked: just now
A100 80GB · United States
Availablefrom $1.35/hr
Best for
LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct
Startup: 3–8 min
Reliability: High
Last checked: just now