Dedicated LLM Workers
On-Demand Language Models, Instantly Ready to Handle Massive Workloads.
Model Title
Reference to HF
Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum.
Size: 50B
Bits: 16b
Max. Context: 10k
Model Title
Reference to HF
Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum.
Size: 50B
Bits: 16b
Max. Context: 10k
No Rate Limits, No Delays
Launch Your Own Dedicated Model Instantly – Built for Big Data.
4sec.
Instant Provisioning for the world's fastest deployments.
10k tokens/s
Throughput for models sized up to 14B parameters.
50% lower costs
Compared to conventional cloud providers.
Instantly Ready
Launch effortlessly and leave infrastructure to us.
from cortecs_py.client import Cortecs
from cortecs_py.integrations.langchain import DedicatedLLM
cortecs = Cortecs()
with DedicatedLLM(cortecs, model_name='<MODEL_NAME>') as llm:
essay = llm.invoke('Write an essay about LLMs')
print(essay.content)Drop-in replacement.
All models include an OpenAI-compatible endpoint, so you can seamlessly use the OpenAI clients you're already familiar with.
Dynamic provisioning.
Use an API to start and stop your models, with resources seamlessly allocated in the background.
European Standards.
Designed for maximum security and guaranteed availability.
GDPR compliant
ISO certified hosting
TLS encryption
Maximum Capacity
Top Security
Frequently Asked Questions
Why LLM Workers?
LLM Workers are a good choice when applications need reliable, low-latency performance or handle heavy batch workloads. With dedicated inference, you have exclusive access to a model and its compute resources, so performance remains consistent without competing traffic from other users.
This setup is especially effective for tasks that can’t afford delays and need steady resource availability.
Can I use my own model?
Yes we do support custom deployments. Therefore get in touch with our experts.
Is my data stored or used for training?
No, none of your data is stored or used for training.
What's Instant Provisioning?
Instant provisioning allows the access to dedicated language models without the usual setup delays. Instead of dealing with extensive configurations, users gain immediate access to a private LLM endpoint. This setup means that even large models, with many billions of parameters, are instantly available on demand.
Instant provisioning suits batch and scheduled jobs by allowing models to be spun up only when needed, optimizing both resource use and costs. This flexible, on-demand approach minimizes idle time and eliminates operational overhead.
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Enterprise
Prefer to run your own fine-tuned model? Connect with our experts for tailored LLM-Inference solutions.
Support
Reach out to customer support for assistance with general inquiries or specific concerns.