Model Title
Reference to HF
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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
Europe's Cloud of Clouds
A unified network connecting cloud regions across Europe.
Costs
Dynamically allocate GPUs from the most affordable provider, cutting cloud expenses by 68%.
Availability
Harness Europe’s largest GPU pool for unmatched scalability and reliability.
Emissions
Dynamically allocate GPUs from the greenest cloud locations, minimizing emissions to near zero.
Developer Friendly
Launch effortlessly and leave infrastructure to us.
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.
Augmented generation.
Dynamically adjust the context length, balancing efficiency for cache- and retrieval-augmented generation.
Privacy First.
One-demand deployments, secured by European standards.
GDPR compliant
ISO certified hosting
TLS encryption
Trusted Infrastructure
Maximum Security
Frequently Asked Questions
How does it compare to Azure, Google, and Others?
Sky Infer operates on EU infrastructure, making it a good fit for customers conscious about data privacy and high compliance requirements, without exposure to the US Cloud Act.
It leverages Sky Computing, which unifies multiple cloud locations into a flexible, efficient environment. Resources are dynamically allocated based on cost, availability, or latency—optimizing performance while avoiding vendor lock-in.
On-demand vs. token-based: What’s the Difference?
Token-based inference relies on shared infrastructure, where multiple users access the same model pool. Vendors control model availability, meaning versions can be deprecated, forcing users to migrate—an inconvenience for production workloads. Performance also fluctuates due to competing traffic.
Sky Infer's on-demand deployments provide exclusive access to a model and its compute resources. You stay in control, avoiding forced upgrades and vendor lock-in. This ensures consistent performance and is ideal for high-throughput tasks like batch processing or cache-augmented retrieval (CAG).
Can I use my own model?
We support any language model on Hugging Face. Please post your request to our discord channel.
Is my data stored or used for training?
No, none of your data is stored or used for training.