Advancements across GPU-native data analytics, unstructured data extraction, on-premises and cloud infrastructure, Nestlé global supply chain decision speed, and consulting to mobilize enterprise AI at scale
ARMONK, N.Y., March 17, 2026 /PRNewswire/ -- IBM (NYSE: IBM) today announced at GTC 2026 an expanded collaboration with NVIDIA to help enterprises operationalize AI at scale. Advancing efforts across GPU-native data analytics, intelligent document processing, on-premises and regulated infrastructure deployments, cloud, and consulting, the collaboration aims to give enterprises the data foundation, infrastructure, and expertise to move AI from pilot to production.
Enterprises are making significant investments in AI, but too many remain stuck between experimentation and production at scale. The barriers are consistent: data is fragmented and difficult to access; infrastructure wasn't built for advanced AI workloads; AI deployments don't support the compliance and residency requirements of regulated industries; and many organizations still need the guided expertise to implement and deploy the technologies. Today's announcements from IBM and NVIDIA are designed to close these gaps.
"In the next wave of enterprise AI, the model layer will rely on the data, infrastructure, and orchestration layers – and on businesses that can bring all three together," said Arvind Krishna, Chairman and CEO, IBM. "Our partnership with NVIDIA goes to the heart of that challenge. Together, we're giving enterprises the solutions they need to stop experimenting with AI and start running on it."
"IBM pioneered enterprise computing and data processing six decades ago — and today they are redefining it for the AI era," said Jensen Huang, founder and CEO of NVIDIA. "Data is the ground truth that gives AI context and meaning. Together with IBM, we are bringing CUDA GPU acceleration directly into the data layer — turning analytics and document processing from bottlenecks into real-time intelligence engines."
Accelerating Structured Data Analytics with GPU-Native Computing
IBM and NVIDIA are collaborating on an open-source integration to increase performance and reduce costs around how enterprises extract intelligence from their massive datasets. IBM watsonx.data's SQL engine Presto is accelerated by NVIDIA cuDF to enable faster query execution on large datasets.
To validate in production, IBM and NVIDIA applied GPU-accelerated watsonx.data to Nestlé's Order-to-Cash data mart. The data mart tracks every order, fulfillment, delivery, and invoice across 186 countries and processes terabytes across 44 tables. Nestlé was ideal for this proof of concept because of its strong digital backbone. With globally unified data models, a consolidated data foundation, and a single source of truth across markets, Nestlé already had timely, accurate, and trusted data at scale — the right foundation to put GPU-accelerated analytics to the test in a real production environment.
On CPUs, a single refresh previously took Nestlé 15 minutes and only ran a handful of times a day. Nestlé reports that with NVIDIA's software and GPUs, the IBM watsonx.data Presto engine reduced query runtime down to three minutes – achieving 83% cost savings and an overall 30X price-performance improvement.
"For a company that serves billions, data underpins decision making across our global operations," said Chris Wright, Chief Information and Digital Officer of Nestlé. "Working with IBM and NVIDIA, a targeted proof of concept has demonstrated the ability to refresh global operations data in a few minutes and at reduced cost. Our focus now is on turning this capability into tangible business impact — further improving decision speed in areas such as manufacturing and warehousing, and scaling these capabilities across our enterprise."
Helping Enterprises Unlock the Full Value of Their Data
Most enterprises aren't lacking data. But often, they're unable to access and use it. SharePoint sites, CMS systems, vendor research, SME knowledge: the information exists but it is trapped in unstructured, multi-modal formats that are difficult to extract, standardize, and trust at decision speed.
IBM and NVIDIA are addressing this with Docling from IBM and NVIDIA Nemotron open models – a combination designed to make intelligent document extraction available at enterprise scale. Docling standardizes and converts documents into AI-ready formats with source-level traceability, while NVIDIA Nemotron models accelerate ingestion of multi-modal content. Early results show significantly higher throughput compared to other open-source models, while maintaining or improving accuracy wherever GPU-accelerated infrastructure is available.
GPU-Optimized Infrastructure for On-Prem and Regulated Deployments
IBM and NVIDIA are extending their data efforts to the infrastructure layer. NVIDIA has selected IBM Storage Scale System 6000 to provide 10PB of high-performance storage to serve massive data for its GPU-native advanced analytics engines, pairing IBM's unified data access layer and massive parallel throughput with NVIDIA's GPU pipelines. IBM Storage Scale 6000 is certified and validated on NVIDIA DGX platforms.1
For enterprises and governments requiring data residency and regulatory control, IBM and NVIDIA are exploring the integration of IBM Sovereign Core and NVIDIA infrastructure and NVIDIA Nemotron models that would focus on enabling GPU-intensive AI workloads that run entirely within regional boundaries – without compromising governance or compliance.
Advancing the Enterprise AI Stack with IBM, NVIDIA and Red Hat
IBM and NVIDIA are also deepening their partnership across cloud and enterprise consulting to advance clients' enterprise AI adoption. IBM plans to offer NVIDIA Blackwell Ultra GPUs on IBM Cloud in early Q2 2026 for large-scale training, high-throughput inferencing, and AI reasoning. This technology will also be integrated across Red Hat AI Factory with NVIDIA, and VPC servers with enterprise-grade compliance and data residency controls.
Additionally, IBM Consulting plans to bring Red Hat AI Factory with NVIDIA to clients through IBM Consulting Advantage – an IBM enterprise AI platform that helps clients build and scale AI across their technology environments. Combined with Red Hat AI Factory with NVIDIA, the platform is built to simplify how companies prepare data, build models, and deploy AI, while also enhancing performance and oversight. This builds on IBM Consulting's broader efforts to help clients maximize outputs from their AI investments.
Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service.
Visit www.ibm.com for more information.
Media contacts:
Sarah Benchaita
Software Communications, IBM
sarah.benchaita@ibm.com
Bethany McCarthy
Infrastructure Communications, IBM
bethany@ibm.com
1 IBM Storage Scale System 6000 is NVIDIA-Certified Storage
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
IBM Announces Expanded Collaboration with NVIDIA to Advance AI for the Enterprise
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- Supermicro's advanced GPU and storage architectures form the backbone of seven next-generation AI Data Platform solutions.
- Built with industry leaders including Cloudian, DDN, Everpure (formerly Pure Storage), IBM, Nutanix, VAST Data, and WEKA to deliver fully integrated, enterprise-ready AI infrastructure.
- Purpose-built AI Data Platforms unlock the full value of enterprise data — accelerating insight, automation, and intelligent transformation at scale.
SAN JOSE, Calif., March 17, 2026 /PRNewswire/ -- Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, today announced seven fully integrated AI Data Platform solutions designed to accelerate enterprise AI adoption. Built on NVIDIA reference architectures and powered by Supermicro's high-performance GPU and storage systems, the platforms leverage NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and the new NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPUs, NVIDIA Spectrum-X Ethernet networking, and enterprise AI software including NVIDIA NIM microservices and NVIDIA NeMo, to enable advanced AI agents.
"Supermicro is bringing together the industry's most advanced GPU, storage, and networking technologies to deliver fully integrated AI Data Platforms to the enterprise and cloud," said Charles Liang, president and CEO of Supermicro. "By combining our Data Center Building Block Solutions®, rack-scale integration expertise, and advanced cooling innovations with leading ecosystem partners, we are making AI deployment faster, more efficient, and truly turnkey to accelerate enterprise AI adoption worldwide."
For more information about the new Supermicro AI Data Platform solution please visit: www.supermicro.com/aifactory
Developed in collaboration with leading data platform innovators Cloudian, DDN, Everpure, IBM, Nutanix, VAST Data, and WEKA, these purpose-built solutions unify compute, networking, storage, and AI software into turnkey platforms that help enterprises rapidly transform data into intelligent action at scale.
"Meeting the inference demands of advanced AI workloads require full-stack infrastructure that unifies compute, networking and storage," said Jason Hardy, vice president, Storage Technologies, NVIDIA. "By building upon the NVIDIA AI Data Platform reference architectures, Supermicro and its partners are delivering turnkey AI Data Platforms that put enterprise data to work for AI."
Cloudian
"Every AI initiative lives or dies on its data infrastructure," said Amit Rawlani, Senior Director of Alliances at Cloudian. "With Cloudian HyperScale® AIDP, we're bringing GPU-based compute directly to enterprise data. Leveraging best-of-breed compute, networking, and storage nodes from partners like Supermicro, the platform delivers a tightly integrated solution that enables organizations to manage massive datasets and run AI workloads at scale, from training to real-time inference."
DDN
"AI factories require purpose-built compute and data platforms architected for measurable business outcomes," said Sven Oehme, CTO at DDN. "Building on our long-standing collaboration, Supermicro, NVIDIA, and DDN are launching Driving AI Breakthroughs—a joint mobile AI Factory debuting at GTC and traveling nationwide. Featuring production-ready AI pipelines running on turnkey HyperPOD and AI factory systems, it gives enterprises a proven path from pilots to scalable, ROI-driven AI."
Everpure
"Enterprise AI depends on data that is ready for AI consumption," said Kaycee Lai, Vice President, AI, Everpure. "By collaborating with Supermicro, we bring Everpure's enterprise data platform and our Data Stream software together with GPU-optimized infrastructure to deliver an integrated AI Data Platform that keeps GPUs fed, reduces operational complexity, and helps enterprises move from pilot to production faster."
IBM
"Enterprise AI is only as powerful as the infrastructure behind it, and IBM Storage Scale on Supermicro Petascale Storage Servers deliver high-throughput, low-latency parallel data access that supports enterprises deploying NVIDIA AI Data Platform at scale," said Sam Werner, GM Storage, IBM. "IBM Storage Scale automatically extracts semantic meaning from unstructured enterprise data, detecting changes in real time, and keeps data within NVIDIA AI Data Platform updated without costly data duplication. Together with Supermicro, we are giving enterprises a fully integrated platform that turns existing data estates into a secured, AI-ready intelligence layer — to reduce hallucinations, accelerate time to insight, and make inference at enterprise scale production-ready."
Nutanix
"The Nutanix Agentic AI solution includes the integration of the Nutanix AHV hypervisor, the open Nutanix Kubernetes Platform, Nutanix Unified Storage, and new technologies that will include the Nutanix AI Gateway," said Thomas Cornely, Executive Vice President, Product Management, Nutanix. "This solution, following a deployment model similar to the Nutanix NX platform, runs on a variety of specialized servers designed and built by Supermicro, along with the integration of supported NVIDIA's software libraries, allowing enterprises to deploy and secure sovereign Agentic AI initiatives."
VAST Data
"Our collaboration with Supermicro continues to push the boundaries of production AI infrastructure," said John Mao, Vice President, Global Technology Alliances, at VAST Data. "The CNode-X AI Data Platform, powered by the VAST AI Operating System, builds on the success of large-scale EBox deployments to deliver the performance, resilience, and operational simplicity enterprises require to power next-generation AI applications and accelerate real-world outcomes."
WEKA
"Enterprises are under pressure to deploy AI fast, and that means infrastructure can't be an obstacle," said Ajay Singh, Chief Product Officer at WEKA. "By combining NeuralMesh™ by WEKA with Supermicro's advanced GPU and rack-scale systems, we're giving organizations a foundation that doesn't just support AI workloads today but grows stronger as those workloads scale. That's how enterprises can move from data to intelligent action without the friction of piecing together infrastructure themselves."
These solutions will be shown in the Supermicro booth #1113 at the NVIDIA GPU Technology Conference (GTC) March 16-19.
About Super Micro Computer, Inc.
Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro's motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Asia, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).
Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.
All other brands, names, and trademarks are the property of their respective owners.
- Supermicro's advanced GPU and storage architectures form the backbone of seven next-generation AI Data Platform solutions.
- Built with industry leaders including Cloudian, DDN, Everpure (formerly Pure Storage), IBM, Nutanix, VAST Data, and WEKA to deliver fully integrated, enterprise-ready AI infrastructure.
- Purpose-built AI Data Platforms unlock the full value of enterprise data — accelerating insight, automation, and intelligent transformation at scale.
SAN JOSE, Calif., March 17, 2026 /PRNewswire/ -- Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, today announced seven fully integrated AI Data Platform solutions designed to accelerate enterprise AI adoption. Built on NVIDIA reference architectures and powered by Supermicro's high-performance GPU and storage systems, the platforms leverage NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and the new NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPUs, NVIDIA Spectrum-X Ethernet networking, and enterprise AI software including NVIDIA NIM microservices and NVIDIA NeMo, to enable advanced AI agents.
"Supermicro is bringing together the industry's most advanced GPU, storage, and networking technologies to deliver fully integrated AI Data Platforms to the enterprise and cloud," said Charles Liang, president and CEO of Supermicro. "By combining our Data Center Building Block Solutions®, rack-scale integration expertise, and advanced cooling innovations with leading ecosystem partners, we are making AI deployment faster, more efficient, and truly turnkey to accelerate enterprise AI adoption worldwide."
For more information about the new Supermicro AI Data Platform solution please visit: www.supermicro.com/aifactory
Developed in collaboration with leading data platform innovators Cloudian, DDN, Everpure, IBM, Nutanix, VAST Data, and WEKA, these purpose-built solutions unify compute, networking, storage, and AI software into turnkey platforms that help enterprises rapidly transform data into intelligent action at scale.
"Meeting the inference demands of advanced AI workloads require full-stack infrastructure that unifies compute, networking and storage," said Jason Hardy, vice president, Storage Technologies, NVIDIA. "By building upon the NVIDIA AI Data Platform reference architectures, Supermicro and its partners are delivering turnkey AI Data Platforms that put enterprise data to work for AI."
Cloudian
"Every AI initiative lives or dies on its data infrastructure," said Amit Rawlani, Senior Director of Alliances at Cloudian. "With Cloudian HyperScale® AIDP, we're bringing GPU-based compute directly to enterprise data. Leveraging best-of-breed compute, networking, and storage nodes from partners like Supermicro, the platform delivers a tightly integrated solution that enables organizations to manage massive datasets and run AI workloads at scale, from training to real-time inference."
DDN
"AI factories require purpose-built compute and data platforms architected for measurable business outcomes," said Sven Oehme, CTO at DDN. "Building on our long-standing collaboration, Supermicro, NVIDIA, and DDN are launching Driving AI Breakthroughs—a joint mobile AI Factory debuting at GTC and traveling nationwide. Featuring production-ready AI pipelines running on turnkey HyperPOD and AI factory systems, it gives enterprises a proven path from pilots to scalable, ROI-driven AI."
Everpure
"Enterprise AI depends on data that is ready for AI consumption," said Kaycee Lai, Vice President, AI, Everpure. "By collaborating with Supermicro, we bring Everpure's enterprise data platform and our Data Stream software together with GPU-optimized infrastructure to deliver an integrated AI Data Platform that keeps GPUs fed, reduces operational complexity, and helps enterprises move from pilot to production faster."
IBM
"Enterprise AI is only as powerful as the infrastructure behind it, and IBM Storage Scale on Supermicro Petascale Storage Servers deliver high-throughput, low-latency parallel data access that supports enterprises deploying NVIDIA AI Data Platform at scale," said Sam Werner, GM Storage, IBM. "IBM Storage Scale automatically extracts semantic meaning from unstructured enterprise data, detecting changes in real time, and keeps data within NVIDIA AI Data Platform updated without costly data duplication. Together with Supermicro, we are giving enterprises a fully integrated platform that turns existing data estates into a secured, AI-ready intelligence layer — to reduce hallucinations, accelerate time to insight, and make inference at enterprise scale production-ready."
Nutanix
"The Nutanix Agentic AI solution includes the integration of the Nutanix AHV hypervisor, the open Nutanix Kubernetes Platform, Nutanix Unified Storage, and new technologies that will include the Nutanix AI Gateway," said Thomas Cornely, Executive Vice President, Product Management, Nutanix. "This solution, following a deployment model similar to the Nutanix NX platform, runs on a variety of specialized servers designed and built by Supermicro, along with the integration of supported NVIDIA's software libraries, allowing enterprises to deploy and secure sovereign Agentic AI initiatives."
VAST Data
"Our collaboration with Supermicro continues to push the boundaries of production AI infrastructure," said John Mao, Vice President, Global Technology Alliances, at VAST Data. "The CNode-X AI Data Platform, powered by the VAST AI Operating System, builds on the success of large-scale EBox deployments to deliver the performance, resilience, and operational simplicity enterprises require to power next-generation AI applications and accelerate real-world outcomes."
WEKA
"Enterprises are under pressure to deploy AI fast, and that means infrastructure can't be an obstacle," said Ajay Singh, Chief Product Officer at WEKA. "By combining NeuralMesh™ by WEKA with Supermicro's advanced GPU and rack-scale systems, we're giving organizations a foundation that doesn't just support AI workloads today but grows stronger as those workloads scale. That's how enterprises can move from data to intelligent action without the friction of piecing together infrastructure themselves."
These solutions will be shown in the Supermicro booth #1113 at the NVIDIA GPU Technology Conference (GTC) March 16-19.
About Super Micro Computer, Inc.
Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro's motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Asia, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).
Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.
All other brands, names, and trademarks are the property of their respective owners.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Supermicro Launches Seven AI Data Platform Solutions with NVIDIA and Leading Ecosystem Partners to Accelerate Enterprise AI Innovation
