KubeCon – Nutanix (NASDAQ: NTNX), a leader in hybrid
multicloud computing, today announced that it extended the
company's AI infrastructure platform with a new cloud native
offering, Nutanix Enterprise AI (NAI), that can be deployed on any
Kubernetes platform, at the edge, in core data centers, and on
public cloud services like AWS EKS, Azure AKS, and Google GKE. The
NAI offering delivers a consistent hybrid multicloud operating
model for accelerated AI workloads, enabling organizations to
leverage their models and data in a secure location of their choice
while improving return on investment (ROI). Leveraging NVIDIA NIM
for optimized performance of foundation models, Nutanix Enterprise
AI helps organizations securely deploy, run, and scale inference
endpoints for large language models (LLMs) to support the
deployment of generative AI (GenAI) applications in minutes, not
days or weeks.
Generative AI is an inherently hybrid workload, with new
applications often built in the public cloud, fine-tuning of models
using private data occurring on-premises, and inferencing deployed
closest to the business logic, which could be at the edge,
on-premises or in the public cloud. This distributed hybrid GenAI
workflow can present challenges for organizations concerned about
complexity, data privacy, security, and cost.
Nutanix Enterprise AI provides a consistent multicloud operating
model and a simple way to securely deploy, scale, and run LLMs with
NVIDIA NIM optimized inference microservices as well as open
foundation models from Hugging Face. This enables customers to
stand up enterprise GenAI infrastructure with the resiliency, day 2
operations, and security they require for business-critical
applications, on-premises or on AWS Elastic Kubernetes Service
(EKS), Azure Managed Kubernetes Service (AKS), and Google
Kubernetes Engine (GKE).
Additionally, Nutanix Enterprise AI delivers a transparent and
predictable pricing model based on infrastructure resources, which
is important for customers looking to maximize ROI from their GenAI
investments. This is in contrast to hard-to-predict usage or
token-based pricing.
Nutanix Enterprise AI is a component of Nutanix GPT-in-a-Box
2.0. GPT-in-a-Box also includes Nutanix Cloud Infrastructure,
Nutanix Kubernetes Platform, and Nutanix Unified Storage along with
services to support customer configuration and sizing needs for
on-premises training and inferencing. For customers looking to
deploy in public cloud, Nutanix Enterprise AI can be deployed in
any Kubernetes environment but is operationally consistent with
on-premises deployments.
“With Nutanix Enterprise AI, we're helping our customers simply
and securely run GenAI applications on-premises or in public
clouds. Nutanix Enterprise AI can run on any Kubernetes platform
and allows their AI applications to run in their secure location,
with a predictable cost model,” said Thomas Cornely, SVP,
Product Management, Nutanix.
Nutanix Enterprise AI can be deployed with the NVIDIA full-stack
AI platform and is validated with the NVIDIA AI Enterprise software
platform, including NVIDIA NIM, a set of easy-to-use microservices
designed for secure, reliable deployment of high-performance AI
model inferencing. Nutanix-GPT-in-a-Box is also an NVIDIA-Certified
System, also ensuring reliability of performance.
"Generative AI workloads are inherently hybrid, with training,
customization, and inference occurring across public clouds,
on-premises systems, and edge locations," said Justin
Boitano, vice president of enterprise AI at NVIDIA.
"Integrating NVIDIA NIM into Nutanix Enterprise AI provides a
consistent multicloud model with secure APIs, enabling customers to
deploy AI across diverse environments with the high performance and
security needed for business-critical applications."
Nutanix Enterprise AI can help customers:
- Address AI skill shortages. Simplicity,
choice, and built-in features mean IT admins can be AI admins,
accelerating AI development by data scientists and developers
adapting quickly using the latest models and NVIDIA accelerated
computing.
- Remove barriers to building an AI-ready
platform. Many organizations looking to adopt GenAI
struggle with building the right platform to support AI workloads,
including maintaining consistency across their on-premises
infrastructure and multiple public clouds. Nutanix Enterprise AI
addresses this with a simple UI-driven workflow that can help
customers deploy and test LLM inference endpoints in minutes,
offering customer choice with support for NVIDIA NIM microservices
which run anywhere, ensuring optimized model performance across
cloud and on prem environments. Hugging Face and other model
standards are also supported. Additionally, native integration with
Nutanix Kubernetes Platform keeps alignment with the ability to
leverage the entire Nutanix Cloud Platform or provide customers
with the option to run on any Kubernetes runtime, including AWS
EKS, Azure AKS, or Google Cloud GKE with NVIDIA accelerated
computing.
- Mitigate data privacy and security concerns.
Helping mitigate privacy and security risks is built into Nutanix
Enterprise AI by enabling customers to run models and data on
compute resources they control. Additionally, Nutanix Enterprise AI
delivers an intuitive dashboard for troubleshooting, observability,
and utilization of resources used for LLMs, as well as quick and
secure role-based access controls (RBAC) to ensure LLM
accessibility is controllable and understood. Organizations
requiring hardened security will also be able to deploy in
air-gapped or dark-site environments.
- Bring enterprise
infrastructure to GenAI workloads. Customers running
Nutanix Cloud Platform for business-critical applications can now
bring the same resiliency, Day 2 operations, and security to GenAI
workloads for an enterprise infrastructure experience.
Key use cases for customers leveraging Nutanix Enterprise AI
include: enhancing customer experience with GenAI through analysis
of customer feedback and documents; accelerating code and content
creation by leveraging co-pilots and intelligent document
processing; leveraging fine-tuning models on domain-specific data
to accelerate code and content generation; strengthening security,
including leveraging AI models for fraud detection, threat
detection, alert enrichment, and automatic policy creation; and
improving analytics by leveraging fine-tuned models on private
data.
Nutanix Enterprise AI, running on-premises, at the edge or in
public cloud, and Nutanix GPT-in-a-Box 2.0 are currently available
to customers. For more information, please visit
Nutanix.com/enterprise-ai.
Supporting Quotes:
- "Thanks to the deep collaboration between the Nutanix and
Hugging Face teams, customers of Nutanix Enterprise AI are able to
seamlessly deploy the most popular open models in an easy to use,
fully tested stack – now also on public clouds," said Jeff
Boudier, Head of Product at Hugging Face.
- "By providing a consistent experience from the enterprise to
public cloud, Nutanix Enterprise AI aims to provide a user-friendly
infrastructure platform to support organizations at every step of
their AI journey, from public cloud to the edge," said Dave
Pearson, Infrastructure Research VP at IDC.
About NutanixNutanix is a global leader in
cloud software, offering organizations a single platform for
running applications and managing data, anywhere. With Nutanix,
companies can reduce complexity and simplify operations, freeing
them to focus on their business outcomes. Building on its legacy as
the pioneer of hyperconverged infrastructure, Nutanix is trusted by
companies worldwide to power hybrid multicloud environments
consistently, simply, and cost-effectively. Learn more at
www.nutanix.com or follow us on social media @nutanix.
© 2024 Nutanix, Inc. All rights reserved. Nutanix, the Nutanix
logo, and all Nutanix product and service names mentioned herein
are registered trademarks or unregistered trademarks of Nutanix,
Inc. (“Nutanix”) in the United States and other countries. Other
brand names or marks mentioned herein are for identification
purposes only and may be the trademarks of their respective
holder(s). This press release is for informational purposes only
and nothing herein constitutes a warranty or other binding
commitment by Nutanix. This release contains express and implied
forward-looking statements, which are not historical facts and are
instead based on Nutanix’s current expectations, estimates and
beliefs, including statements about the benefits and capabilities
of our new Nutanix Enterprise AI offering and our other products,
services, and technology. The accuracy of such statements involves
risks and uncertainties and depends upon future events, including
those that may be beyond Nutanix’s control, and actual results may
differ materially and adversely from those anticipated or implied
by such statements. Any forward-looking statements included herein
speak only as of the date hereof and, except as required by law,
Nutanix assumes no obligation to update or otherwise revise any of
such forward-looking statements to reflect subsequent events or
circumstances.
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