Large scale inference at small scale cost
Large scale inference at small scale cost
Large scale inference at small scale cost
The developer platform that revolutionizes inference at scale
The developer platform that revolutionizes inference at scale
The developer platform that revolutionizes inference at scale
Built for developers by developers
Built for developers by developers
Built for developers by developers
We hate rate limits, too.
We hate rate limits, too.
We hate rate limits, too.
If you’re investing in a premium service, it should unlock faster growth for you, not slow you down with unexpected limits and hidden fees.
It’s time for a smarter solution.
If you’re investing in a premium service, it should unlock faster growth for you, not slow you down with unexpected limits and hidden fees.
It’s time for a smarter solution.
If you’re investing in a premium service, it should unlock faster growth for you, not slow you down with unexpected limits and hidden fees.
It’s time for a smarter solution.
Introducing
Adaptive Inference
Introducing
Adaptive Inference
Introducing
Adaptive Inference
Asynchronous inference with higher rate limits, predictable turnaround times, and unmatched value.
Asynchronous inference with higher rate limits, predictable turnaround times, and unmatched value.
Asynchronous inference with higher rate limits, predictable turnaround times, and unmatched value.
from openai import OpenAI # OpenAI compatible API client = OpenAI(base_url="https://api.kluster.ai/v1", api_key="your_klusterai_api_key", ) # Upload LLM requests batch_input_file = client.files.create( file=open("batch_llm_requests.jsonl", "rb"), purpose="batch") # Start adaptive inference batch_request = client.batches.create( input_file_id=batch_input_file.id, endpoint="/v1/chat/completions", completion_window="24h") # Wait for completion while client.batches.retrieve(batch_request.id) != "completed": time.sleep(60) # Download results result_file_id = client.batches.retrieve(batch_request.id).output_file_id llm_inference_results = client.files.content(result_file_id).content
from openai import OpenAI # OpenAI compatible API client = OpenAI(base_url="https://api.kluster.ai/v1", api_key="your_klusterai_api_key", ) # Upload LLM requests batch_input_file = client.files.create( file=open("batch_llm_requests.jsonl", "rb"), purpose="batch") # Start adaptive inference batch_request = client.batches.create( input_file_id=batch_input_file.id, endpoint="/v1/chat/completions", completion_window="24h") # Wait for completion while client.batches.retrieve(batch_request.id) != "completed": time.sleep(60) # Download results result_file_id = client.batches.retrieve(batch_request.id).output_file_id llm_inference_results = client.files.content(result_file_id).content
LLAMA 3.3, LLAMA 3.1, and
DEEPSEEK-R1 MODELS
LLAMA 3.3, LLAMA 3.1, and
DEEPSEEK-R1 MODELS
LLAMA 3.3, LLAMA 3.1, and
DEEPSEEK-R1 MODELS
Prices are million input/output tokens
Prices are million input/output tokens
Prices are million input/output tokens
Completion window time
MODEL SIZE
Real time
1 hour
3 hours
6 hours
12 hours
24 hours
8B
$0.18
$0.09
$0.08
$0.07
$0.06
$0.05
70B
$0.70
$0.35
$0.33
$0.30
$0.25
$0.20
405B
$3.50
$1.75
$1.60
$1.45
$1.20
$0.99
DeepSeek-R1
$2.00
$1.00
$0.90
$0.80
$0.70
$0.60
Completion window time
MODEL SIZE
Real time
1 hour
3 hours
6 hours
12 hours
24 hours
8B
$0.18
$0.09
$0.08
$0.07
$0.06
$0.05
70B
$0.70
$0.35
$0.33
$0.30
$0.25
$0.20
405B
$3.50
$1.75
$1.60
$1.45
$1.20
$0.99
DeepSeek-R1
$2.00
$1.00
$0.90
$0.80
$0.70
$0.60
Completion window time
MODEL SIZE
Real time
1 hour
3 hours
6 hours
12 hours
24 hours
8B
$0.18
$0.09
$0.08
$0.07
$0.06
$0.05
70B
$0.70
$0.35
$0.33
$0.30
$0.25
$0.20
405B
$3.50
$1.75
$1.60
$1.45
$1.20
$0.99
DeepSeek-R1
$2.00
$1.00
$0.90
$0.80
$0.70
$0.60
Why developers love kluster.ai
Why developers love kluster.ai
Why developers love kluster.ai
High volume by design
Experience seamless scalability and best-in-class rate limits, ensuring uninterrupted performance.
Predictable completion windows
Choose a timeframe that suits your needs—whether it’s an hour or a full day, we’ve got you covered.
Unmatched value
Achieve top-tier performance and reliability at half the cost of leading providers.
See what developers
have to say
See what developers
have to say
See what developers
have to say
“We kept on experiencing failed jobs with our other provider, even though we were paying exorbitant fees for their service. Once we switched to kluster.ai, we were able to cut our costs by half and haven’t once experienced job failure, which means that we are able to complete our projects on time. This is huge for us.”
ML engineer, FAANG
“Our team was sick of hitting rate limits with other model providers. With kluster.ai we just submit our requests to their API and know their platform will handle the rest. Additionally, the cost reduction enabled us to put our resources towards other projects.”
VP of Engineering,
Fintech startup
“Our company identifies eligible patients for clinical trials. Previously, manual selection led to high false-positive rates, heavy workloads, and longer trial timelines. With kluster.ai’s Adaptive Inference, we efficiently analyze vast amounts of EMRs, lab reports, and case histories. This technology allows us to screen millions of patients in minutes instead of months. Now, our partners can recruit the right patients at the right time, ensuring trial success.”
VP of Product Strategy, Healthcare AI startup
“Our previous provider’s unpredictable response rates led to costly delays and job rejections. With kluster.ai’s adaptive processing, those issues are a thing of the past. Timely completion of all requests and no more concerns about rate limits or missed SLAs.”
Engineer Director, RE Tech
"We were paying upwards of 10K a month to self host fine tuned LLMs for monthly customer segmentation jobs. By switching to kluster.ai, we have saved over 90% in costs and we no longer have to worry about infrastructure management.”
Head of Data Science,
Consumer Fintech