The GENERATIVE AI Stack For Enterprises

Enterprise ModelOps made easy to Accelerate your Gen AI Journey

Explore Our  Private AI Platform Purpose Built For Enterprises

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API GATEWAY
SECURITY
CBAC/RBAC
LLM Shield
RAG Shield
Guardrails
USE CASES
Customer Support
Research Support
Mortgage Support
Sales & Marketing Support
KNOWNLEDGE ENGINE
Agents
Datasets
Model Store
SecureLLM
RAG
Evaluation
Fine-tuning
Inference
API GATEWAY
SECURITY
CBAC/RBAC
LLM Shield
RAG Shield
Guardrails
USE CASES
Customer Support
Research Support
Mortgage Support
Sales & Marketing Support
KNOWLEDGE ENGINE
Agents
Datasets
Model Store
SecureLLM
RAG
Evaluation
Fine-tuning
Inference
Extract Data From Anywhere
Extract knowledge with ease with native support for over 100 datasources. Leverage preset pipelines or easily build your own custom pipelines and parsers for complex data processing tasks.
Build With Any Model
Deploy popular models from our catalog or easily load current leaderboard hits from Huggingface. For advanced use cases, you can also load custom models from your local setup or our model registry.
Run On Any Environment
Run on any Kubernetes environment, whether it is on-premise or your private VPC.  Get up and running within hours with pre-configured packages for popular K8S distros, including Rancher, VSphere, Karbon, EKS, etc.
Observability
Achieve full visibility into your LLMOPs workflows with robust logging, monitoring and tracing. Starting with in-built system logs for infra, tracing for AI pipelines, AI application logs and all the way through capturing user-level feedback in downloadable RLHF ready format.
Enterprise Ready
Go from hours to minutes with in-built parallel processing for each workflow. Process 100 or thousands of documents, run batch queries or complex evaluations at scale without having to worry about scaling infra. Automatically scale up resources when loads get heavy and scale down when loads reduce.
Pipelines
Switch gears between experiments without breaking a sweat with our pipelines. Use preset pipelines across ingestion, query and eval or build your own within minutes.
Collaboration
Accelerate development and and efficiency across projects with seamless collaboration between team members, including shared deployments, applications and entire workspaces.
Guardrails
Ground LLMs to avoid hallucination, protecting important information from your proprietary data and protect your users from harmful content with inbuilt Guardrails and Security Monitoring.
PLATFORM MODULES

Advanced Retrieval Augmented Generative AI

Rapidly iterate, build & deploy RAG based applications for any use case with any data within minutes
100+ Data Sources
Choose from a growing list of over a hundred data sources
Preset Pipelines
Leverage our library of preset configurations or build your own custom pipelines
Vector Store
Out of the box support for popular vector stores as well as endpoint support for external endpoints
SecureChat
Fully configurable ready to deploy chat application
Tracing & Lineage
Track every step of the pipeline with tracing and lineage for datasets and query
Foundation Model Catalog
Deploy the latest open source LLMs with a single line of code
Embedding Model Catalog
A selection of embedding models ready to deploy for your RAG Pipelines
Huggingface & MLFlow
Deploy models directly from Huggingface or MLFlow with optimized serving frameworks
vLLM, TGI & AWQ
Integrated support for popular deployment  frameworks
Auto Scale & Multi-GPU
Optimize for cost and performance with auto scale and Multi-GPU serving

Private Endpoints

Simplified APIs to effortlessly deploy Private and protected endpoints for enterprises within your  Private VPC or On-Premise

Fine-Tuning

Use enterprise data to seamlessly train hundreds of open source LLMs without compromising security
LLM Fine-tune Engine
Develop your own custom models with PEFT, QLoRa, GPTQ, etc
Embedding Fine-tune Engine
Optimize RAG performance with integrated support for fine-tuning embedding models
Fine-tune Catalog
Jumpstart fine-tuning with optimized workflows and pre-defined configurations
Multi-GPU & Multi-Node, FSDP, Etc
Accelerated performance with multi-gpu, multi-node & FSDP
Dataset Generator
Extend your datasets with synthetic data generator and negative samples mining
Request & Response Tracking
Track every request and response across LLMs, users & applications
Application & User Keys
Distribute individual keys per user or app to track and manage granular organization wide usage
Guardrails
Protect your applications from bad actors with tracking for toxicity, jailbreaks and more.
RLHF
Collect and export RLHF data to further fine-tune your LLMs
Metrics & Reporting
Track key metrics & generate custom reports for each app, user & model

SecureLLM

Gain full visibility into every request/response along with integrated reporting and feedback collection for RLHF

Eval

Powerful evaluation suite to test and compare multiple configurations and LLMs against enterprise use cases
Evaluation Pipelines
Run a series of eval runs seamlessly with configurable pipelines
Response & Retrieval Evaluators
Evaluate multiple models against Hitrate, MRR, Truthfulness, Relevance and Correctness evaluators
Compare Multiple Eval Runs
Deep dive into evaluations with side by side comparison against multiple key  markers
Leverage Ground Truth Data
Pass curated Ground Truth data to compare responses
Optimized Performance
Native parallel processing to help handle complex and large evaluation workloads
INTEGRATIONS

AI Enterprise

DKubeX closely collaborates with Nvidia AI Enterprise to deliver supercharged inferencing at scale for production deployments as well as user friendly Guardrails built on top of Nemo.

DKubeX is an integral part of the VMware Private AI Architecture, enabling enterprises to leverage out-of-box solutions for fine-tuning and deploying LLMs securely and efficiently.

Nutanix's GPT-in-a-Box solution, fortified by DKube's expertise and suite of Generative AI infrastructure, provides a comprehensive approach to overcome data privacy, governance, and security concerns.

DKubeX is validated on AMD ROCm, enabling high-performance AI workloads with optimized GPU acceleration for private, enterprise-scale AI deployments.

BOSTON and DKubeX work closely to enable private On-Prem Gen AI implementations across a variety of accelerated hardware platforms, including Nvidia, AMD, and Intel.

DKubeX partners with Expedient to deliver secure, enterprise AI solutions with private cloud, governance, and edge-ready AI deployment capabilities.

FAQ
What is DKubeX, and how does it differ from public Generative AI platforms?
Why should I consider Private AI over public LLM platforms?
Can DKubeX be deployed in hybrid environments or on-premises?
What kind of models does DKubeX support?
How does DKubeX address scalability for enterprise workloads?
How does DKubeX ensure data security and compliance?
How long does it take to deploy and operationalize DKubeX?
Can DKubeX integrate with my existing enterprise systems?
What kind of support does DKubeX offer for enterprises?
How does DKubeX help optimize costs compared to public LLM platforms?
What industries or use cases are best suited for DKubeX?
Do I need an in-house AI team to use DKubeX?
Can DKubeX help me measure ROI for my Generative AI projects?

Try DKubeX

But find out more first
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Try DKubeX

But find out more first

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