Firm delivers an Enterprise AI basis in collaboration with NVIDIA, Hugging Face, and ecosystem of companions to hurry time to worth for on-premises use instances
Nutanix (NASDAQ: NTNX), a frontrunner in hybrid multicloud computing, introduced new performance for Nutanix GPT-in-a-Field, together with integrations with NVIDIA NIM inference microservices and Hugging Face Massive Language Fashions (LLMs) library. Moreover, the corporate introduced the Nutanix AI Associate Program, aimed toward bringing collectively main AI options and providers companions to assist clients trying to run, handle, and safe generative AI (GenAI) purposes on prime of Nutanix Cloud Platform and GPT-in-a-Field. Nutanix GPT-in-a-Field is a full-stack resolution purpose-built to simplify Enterprise AI adoption with tight integration with Nutanix Objects and Nutanix Information for mannequin and knowledge storage.
“We noticed an awesome response to our authentic launch of Nutanix GPT-in-a-Field, validating the wants of Enterprise clients for on-premises software program options that simplify the deployment and administration of AI fashions and inference endpoints,” stated Thomas Cornely, SVP of Product Administration at Nutanix. “Enterprise is the brand new frontier for GenAI and we’re excited to work with our quick rising ecosystem of companions to make it so simple as doable to run GenAI purposes on premises at scale whereas sustaining management on privateness and value.”
Nutanix GPT-in-a-Field 2.0
The corporate introduced GPT-in-a-Field 2.0, which can ship expanded NVIDIA accelerated computing and LLM assist, together with simplified foundational mannequin administration and integrations with NVIDIA NIMs microservices and the Hugging Face LLM library. GPT-in-a-Field 2.0 will embody a unified consumer interface for basis mannequin administration, API endpoint creation, end-user entry key administration, and can combine Nutanix Information and Objects, plus NVIDIA Tensor Core GPUs.
GPT-in-a-Field 2.0 will convey Nutanix simplicity to the consumer expertise with a built-in graphical consumer interface, role-based entry management, auditability, and darkish website assist, amongst different advantages. It’ll additionally present a point-and-click-user interface to deploy and configure NVIDIA NIM, a part of the NVIDIA AI Enterprise software program platform for the event and deployment of production-grade AI, to simply deploy and run GenAI workloads within the Enterprise and on the Edge.
“We’ve partnered with Nutanix as considered one of our key expertise companions to allow our AI ambitions whereas empowering a future the place expertise serves humanity,” stated Khalid Al Kaf, COO at Yahsat. “We aren’t simply maintaining tempo with the longer term; we’re actively shaping it, leveraging Nutanix GPT-in-a-Field, which offers us with easy, end-to-end administration capabilities and talent to take care of management over our knowledge.”
Partnership with Hugging Face to Ship Built-in Entry to LLM Library
Nutanix additionally introduced a partnership with Hugging Face to assist speed up clients’ AI journey by offering built-in entry to the Hugging Face library and execution of LLMs for Nutanix clients. Joint clients will have the ability to leverage Nutanix GPT-in-a-Field 2.0 to simply eat validated LLMs from Hugging Face and execute them effectively.
By means of this partnership, Nutanix and Hugging Face will develop a customized integration with Textual content Era Inference, the favored Hugging Face open-source library for manufacturing deployment of Massive Language Fashions, and allow text-generation fashions accessible on the Hugging Face Hub inside Nutanix GPT-in-a-Field 2.0. It’ll ship a seamless workflow to deploy validated AI LLMs from Hugging Face with full assist from Nutanix, considerably increasing the variety of supported LLMs. It will create a collectively validated and supported workflow for Hugging Face libraries and LLMs, guaranteeing clients have a single level of administration for constant mannequin inference.
“Our partnership with Nutanix will assist lengthen Hugging Face to extra enterprises in search of non-public and safe management of their LLMs,” says Clem Delangue, CEO and co-founder, Hugging Face. “Our mission is to allow organizations of all sizes to construct their very own AI with open supply. Our work with Nutanix will make it simple for enterprises to construct AI purposes on premises leveraging Textual content Era Inference.”
Strengthened Unstructured Knowledge Platform for AI/ML
Nutanix additionally enhanced its unstructured knowledge platform for AI/ML and different purposes with elevated efficiency, density, and TCO. Nutanix Unified Storage (NUS) now helps a brand new 550+ Terabytes dense low-cost all-NVMe platform and as much as 10 Gigabyte/second sequential learn throughput from a single node (near line pace for a 100 Gigabit ethernet port), enabling quicker knowledge reads and extra environment friendly use of GPU sources. Nutanix may also add assist for NVIDIA GPUDirect Storage to additional speed up AI/ML purposes. Moreover, to guard the extraordinarily priceless and infrequently confidential knowledge resembling knowledge units used to coach and course of AI/ML workloads, Nutanix Knowledge Lens extends cyber resilience worth to Objects along with Information knowledge. A brand new Knowledge Lens Frankfurt-based level of presence permits broader adoption in EU clients, assembly their very own compliance wants.
Nutanix has collaborated with main server OEMs to supply clients breadth and selection with a variety of AI-optimized GPUs and density-optimized GPU techniques. These AI-optimized GPUs, together with the NVIDIA L40S, H100, L40, and L4 GPUs, are actually supported on Nutanix GPT-in-a-Field. Nutanix additionally now helps density-optimized GPU techniques from Dell, HPE, and Lenovo to assist decrease the whole value of possession by permitting clients to deploy a smaller variety of techniques to satisfy their workload calls for. The corporate additionally introduced deliberate assist for NX-9151 which is predicated on the NVIDIA MGX reference structure.
“Prospects trying to leverage GenAI have a duty to take care of management over delicate, non-public knowledge,” stated Dave Pearson, IDC’s Analysis Vice President for Infrastructure. “By means of these new options and partnerships, Nutanix appears to be like to allow organizations to construct a non-public and safe AI-ready platform and speed up GenAI adoption within the Enterprise.”
Nutanix AI Associate Program
To additional assist clients’ AI methods, Nutanix introduced the brand new AI Associate Program offering clients with simplified entry to an expanded ecosystem of AI companions to ship real-world GenAI options. Companions will assist organizations construct, run, handle, and safe third-party and homegrown GenAI purposes on prime of Nutanix Cloud Platform and the Nutanix GPT-in-a-Field resolution, focused at distinguished AI use instances.
This broad ecosystem of companions will assist handle numerous use instances together with operations, cybersecurity, fraud detection, and buyer assist, throughout verticals resembling healthcare, monetary providers, and authorized {and professional} providers. Preliminary companions embody: Codeium, DataRobot, DKube, Instabase, Lamini, Neural Magic, Sturdy Intelligence, RunAI, and UbiOps.
Program advantages to companions embody:
- Nutanix AI Prepared validation: All companions will obtain Nutanix AI Prepared validation to reveal interoperability with Nutanix Cloud Infrastructure, Nutanix AHV hypervisor, and Nutanix Kubernetes Platform.
- Full-stack options: Companions in this system will profit from particular person resolution briefs highlighting the advantages of the Nutanix and associate resolution. Moreover, choose companions will obtain a tech notice, greatest apply information, or reference structure to simplify implementation with joint clients.
- Promotional and go-to-market alignment: Companions will profit from go-to-market and demand era actions centered across the AI use case for enterprises. They are going to be supplied with entry to promotional and go-to-market alternatives together with content material creation, weblog posts, webinars, podcasts, and different occasions, to assist drive consciousness and demand for key use instances.
Nutanix GPT-in-a-Field 2.0 is predicted to be accessible within the second half of 2024. Assist for NVIDIA GPU Direct and NX-9151 are at present beneath improvement. Extra options introduced in NUS in addition to Knowledge Lens are at present accessible to clients. Extra data might be discovered here.
Join the free insideBIGDATA newsletter.
Be part of us on Twitter: https://twitter.com/InsideBigData1
Be part of us on LinkedIn: https://www.linkedin.com/company/insidebigdata/
Be part of us on Fb: https://www.facebook.com/insideBIGDATANOW
