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

Enterprise-grade Security

100% cloud agnostic

Solutions

GenAI in production is more than just APIs

Unlike API providers built for experimentation with any privacy, Pipeshift solve 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.

Infrastructure Management

End-to-end control over your in-house infrastructure - pods, clusters, storage.

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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Benefits

Most efficient and secure way to get to production with AI

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 business prerogatives, identify use cases, and recommend the right Al strategy.

Training and Deployments

Fine-tuning and distilling open-source models for your use cases and deploying them across cloud and on-prem.

24/7 MLOps Support

Dedicated AlOps console, member management, completely dedicated onboarding and ongoing account management.

Enterprise-grade security

Open-source models doesn't need to retrain models for public use, securing your data and customers in the process.

60%

Cost savings on GPU infra

30x

Faster time-to-production

Lower cost compared to OpenAI

55%

Lower engineering resources

Build with the best Open Source 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