Backed by
Y combinator
Modern Deployment Platform
for Open-source AI
Pipeshift offers the end-to-end MLOps stack for training and deployment of open-source GenAI models LLMs, vision models, audio models and image models across any cloud or on-prem GPUs.
End-to-end Orchestration
100% Cloud Agnostic
Enterprise-grade Security
Solutions
AI in Production is more than "low-cost" APIs
Unlike API providers built for experimentation without any privacy, Pipeshift solves for the needs and
scale of DevOps/MLOps teams trying to set up production pipelines in-house.
Enterprise MLOps Console

Run, manage and control all forms of AI workloads - fine-tune, distill or deploy.

Multi-cloud Orchestration

In-built auto-scalers, load balancers and schedulers for AI models.

K8s Cluster Management

End-to-end control panel for creating and managing K8s clusters anywhere.

Product
Infrastructure-as-a-Service, Redefined.
Pipeshift provides out-of-the-box infrastructure for all the DevOps/MLOps needs for all open-source GenAI workloads, allowing teams to be ready to scale from Day 1.
Your data but OpenAI's model? Not anymore
Use your own data or model API logs to fine-tune or distill custom models for use cases, without your data ever leaving your infrastructure.
Use custom datasets or LLM logs
Run parallel training experiments
Track training metrics during jobs
Your AI models belong in production
All AI use cases get stuck in the uncertainty of the "Playground Valley". Our platform ensures that all your models get deployed in production.
Auto-scaling enabled on GPUs
High inference speed and low latency
Increases reliability and uptime
Create, manage and scale clusters
Managing your infrastructure has never been easier. With Pipeshift's console, you can create, manage and scale your kubernetes clusters in seconds.
End-to-end cluster and GPU management
Runs on any cloud and on-prem
Runs on any managed kubernetes layer
Know all that's going on in production
AI doesn't have to be a black-box. We give you complete view of your models, APIs, GPUs and K8s clusters in production, all on a single console.
Monitor performance and usage of models
Track resources and clusters across clouds
Observe clusters, APIs and training jobs
Optimizations
Unused GPU capacity? Not anymore.
Pipeshift provides out-of-the-box infrastructure for all the DevOps/MLOps needs for all open-source GenAI workloads, allowing teams to be ready to scale from Day 1.
New Model, New Instance
More models = More GPUs
Hardly break-even on GPUs
Pay for unused GPU hours
Might need GPU fractioning
Infinite Models, Same Instance
Hot-swap fine-tuned models
Zero model overlaps in APIs
Break-even on your GPUs
No GPU memory fractioning
Benefits
Most Efficient and Secure way to get your AI models to Production
Pipeshift provides out-of-the-box infrastructure for all the DevOps/MLOps needs for all open-source GenAI workloads, allowing teams to be ready to scale from Day 1.

Consultation and Strategy

Our team of AI/ML experts understand your business, identify use cases, and recommend the right Al strategy.

Training and Deployments

Fine-tune or distill open-source models for your use cases and deploy them on any cloud provider and on-prem.

24/7 MLOps Support

Dedicated MLOps console, member management, dedicated onboarding and ongoing account management.

Enterprise-grade security

Open-source models don't need to retrain models for public use, securing your data and customers.
60%

Cost savings on GPU infra

30x

Faster time-to-production

6x

Lower cost than GPT/Claude

55%

Lower engineering resources

Build on top of the best open source AI models
Future of AI is open-source and Pipeshift helps you to build with the best open-source LLMs.
Llama 3.1 8B

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Mistral 7B

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Mixtral 8x7B

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Llama 3.1 70B

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Llama 3.1 405B

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Mixtral 8x22B

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Deepseek Coder

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Gemma 2 27B

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Codellama 34B

Code

Deepseek Coder

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Deepseek Coder

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and more!

100+ LLMs supported

Still stuck at PoC?
Take your AI to Production.