The developer
AI cloud.
The developer
AI cloud.
Deploy, scale, and fine-tune models at lightning speed
Deploy, scale, and fine-tune models at lightning speed
Deploy, scale, and fine-tune models at lightning speed
Built for developers by developers
Built for developers by developers
Built for developers by developers
Inference isn’t one size fits all.
Inference
isn’t one size fits all.
Inference isn’t one size fits all.
Real-time
Ultra-low latency for live demands
Batch
Low-cost for high-volume, bulk processing
Powered by Adaptive Inference, our platform intelligently scales to fit your workload, ensuring accuracy, high throughput, cost optimization, and total privacy.
Powered by Adaptive Inference, our platform intelligently scales to fit your workload, ensuring accuracy, high throughput, cost optimization, and total privacy.
Powered by Adaptive Inference, our platform intelligently scales to fit your workload, ensuring accuracy, high throughput, cost optimization, and total privacy.
Real-time
Batch
from openai import OpenAI # OpenAI compatible API client = OpenAI( base_url="https://api.kluster.ai/v1", api_key="my_klusterai_api_key" ) response = client.chat.completions.create( model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", messages=[ { "role": "user", "content": "Provide an analysis of market trends in AI." } ] ) print(response.choices[0].message.content)
Real-time
Batch
from openai import OpenAI # OpenAI compatible API client = OpenAI( base_url="https://api.kluster.ai/v1", api_key="my_klusterai_api_key" ) response = client.chat.completions.create( model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", messages=[ { "role": "user", "content": "Provide an analysis of market trends in AI." } ] ) print(response.choices[0].message.content)
Real-time
Batch
from openai import OpenAI # OpenAI compatible API client = OpenAI( base_url="https://api.kluster.ai/v1", api_key="my_klusterai_api_key" ) response = client.chat.completions.create( model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", messages=[ { "role": "user", "content": "Provide an analysis of market trends in AI." } ] ) print(response.choices[0].message.content)
Fine-tune your
AI for a perfect fit
Fine-tune your
AI for a perfect fit
Fine-tune your
AI for a perfect fit
Refine models to your data and build AI that works for you.
Upload dataset
Start fine-tuning job
Monitor progress
Use model
from openai import OpenAI client = OpenAI(api_key="YOUR_KEY", base_url="https://api.kluster.ai/v1") file = client.files.create( file=open("training_data.jsonl", "rb"), purpose="fine-tune" )
Upload dataset
Start fine-tuning job
Monitor progress
Use model
from openai import OpenAI client = OpenAI(api_key="YOUR_KEY", base_url="https://api.kluster.ai/v1") file = client.files.create( file=open("training_data.jsonl", "rb"), purpose="fine-tune" )
Upload
dataset
Start fine
tuning job
Monitor
progress
Use
model
from openai import OpenAI client = OpenAI(api_key="YOUR_KEY", base_url="https://api.kluster.ai/v1") file = client.files.create( file=open("training_data.jsonl", "rb"), purpose="fine-tune" )
Upload
dataset
Start fine
tuning job
Monitor
progress
Use
model
from openai import OpenAI client = OpenAI(api_key="YOUR_KEY", base_url="https://api.kluster.ai/v1") file = client.files.create( file=open("training_data.jsonl", "rb"), purpose="fine-tune" )
Dedicated Deployments
Dedicated Deployments
Dedicated Deployments
Lightning-fast, production-grade inference - no infra required.
Lightning-fast, production-grade inference - no infra required.
Lightning-fast, production-grade inference - no infra required.
Zero infrastructure management
No containers, no Kubernetes - just your model, deployed, and ready
Private, isolated, and secure
Tenant-isolation, in-transit encryption, and no prompt logging keep customers (and auditors) happy
Bring any model
Use public models from Hugging Face or your own repo, and turn them into production ready endpoints without managing servers
from openai import OpenAI # OpenAI compatible API client = OpenAI( base_url="https://api.kluster.ai/v1", api_key="my_klusterai_api_key" ) response = client.chat.completions.create( model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8:my-dedicated-model-name", messages=[ { "role": "user", "content": "Provide an analysis of market trends in AI." } ] ) print(response.choices[0].message.content)
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
ML engineer, FAANG
“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.”
VP of Engineering,
Fintech startup
“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 Product Strategy, Healthcare AI 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.”
Engineer Director, RE Tech
“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.”
Head of Data Science,
Consumer Fintech
"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.”