Pipeshift (formerly Xylem AI) | Fine-tuning and Inferencing for Open Source LLMs

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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.

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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

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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

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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

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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

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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

Lower cost than GPT/Claude

55%

Consultation and Strategy

Training and Deployments

24/7 MLOps Support

Enterprise-grade security

Cost savings on GPU infra

Faster time-to-production

Lower cost than GPT/Claude

Lower engineering resources