Hyperpod
AI models to apps, fast
51 followers
AI models to apps, fast
51 followers
Serverless Infrastructure for AI Applications. No VMs, No DevOps. 3x Faster than Baseten, Cerebrium & Lightning AI at a fraction of the cost.
51 followers
51 followers
I love the concept. Does it work with all the major AI frameworks?
@ayesha_akram4 Yes. Pytorch, ONNX, Tensorflow, Hugging face all work! We have tons of guides using them here: https://docs.hyperpodai.com/category/quickstart-guides
Such an innovative solution. How do you manage monitoring and logging without using VMs?
@jude_gray we provide a dashboard for users to monitor performance. Feel free to try it out for yourself!
Is there built in support for versioning and rolling back AI models? Great potential!
@matteo_rider Right now, not yet. But it is on our roadmap
This looks like it could save developers a ton of time. Can it handle models that are GPU-intensive?
@charlotte_richardson1 Yes. It's tested on a ton of different models. We have GPU or even ARM CPUs supported. It all depends on your model!
It's really helpful, I'll definitely continue using it to integrate my AI models into my app!
Hyperpod AI is truly revolutionary — it’s changing the game and I’m so excited to see what’s coming next!
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Serverless AI infrastructure is just what the market needs. How does your system manage large scale AI model deployments compared to traditional cloud setups?
@gracebates Our system handles automatic scaling for variable workloads. The algorithm is also able to analyze usage over time and adapt its own scaling policies. All of this is activated for our users by default.