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Nvidia has been talking about AI factories for some time, and now it’s coming out with some reference designs to help build them. The chipmaker has released a series of what it calls EnterpriseReference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented data centers.
IBM has broadened its support of Nvidia technology and added new features that are aimed at helping enterprises increase their AI production and storage capabilities. This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration, IBM stated.
But a lot of the proprietary value that enterprises hold is locked up inside relational databases, spreadsheets, and other structured file types. In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications.
As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. Ultimately, the intent, however, is generally at odds with measurably useful outcomes.
Three years after announcing its plans, merchant supplier Silicon Motion has begun shipping its 128TB Solid State Disks (SSD) Reference Design Kit (RDK) aimed at maximizing the performance and efficiency in AI tool workloads. The kit utilizes the PCIe Dual Ported enterprise-grade SM8366 controller with support for PCIe Gen 5 x4 NVMe 2.0
The Ethernet Alliances roadmap references the consortiums 2024 Technology Exploration Forum (TEF), which highlighted the critical need for collaboration across the Ethernet ecosystem: Industry experts emphasized the importance of uniting different sectors to tackle the engineering challenges posed by the rapid advancement of AI.
Our vision is to be the platform of choice for running AI applications, says Puri. Enterprises are wrestling with a gamut of tools and technologies that are always changing, he says. The system integrator has the Topaz AI platform, which includes a set of services and solutions to help enterprises build and deploy AI applications.
Hewlett Packard Enterprise (HPE) and Supermicro have separately announced new liquid cooling products to keep up with the heat generated by large-scale AI deployments. In the case of HPE, it showed off a design that offers direct liquid cooling without an expensive component: the fans.
integrates what Red Hat refers to as VM-friendly networking. With OpenShift 4.18, Red Hat is integrating a series of enhanced networking capabilities, virtualization features, and improved security mechanisms for container and VM environments. In particular, OpenShift 4.18
AI factories are specified data centers emphasizing AI applications as opposed to traditional line of business applications like databases and ERP. Nvidia has partnered with hardware infrastructure vendor Vertiv to provide liquid cooling designs for future data centers designed to be AI factories.
For enterprises investing heavily in AI infrastructure, this development addresses a growing challenge. Lightmatters solution includes two products: the Passage L200 co-packaged optics (CPO) and the Passage M1000 reference platform. The L200, coming in 2026, will be available in 32 Tbps and 64Tbps versions.
When I joined VMware, we only had a hypervisor – referring to a single software [instance] that can be used to run multiple virtual machines on a physical one – we didn’t have storage or networking.” We have gone from choosing an operating system to being able to run any application anywhere and on any cloud by virtualizing storage.”
Legacy platforms meaning IT applications and platforms that businesses implemented decades ago, and which still power production workloads are what you might call the third rail of IT estates. Compatibility issues : Migrating to a newer platform could break compatibility between legacy technologies and other applications or services.
Keysight can now filter network traffic to detect the presence of AI-based applications. Were just making sure we can find traffic of interest by developing the application signatures that find those applications, Taran Singh, vice president, product and strategy at Keysight, told Network World.
It’s a position many CIOs find themselves in, as Guan noted that, according to an Accenture survey, fewer than 10% of enterprises have gen AI models in production. “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT It’s time for them to actually relook at their existing enterprise architecture for data and AI,” Guan said.
Intel has introduced a reference design it says can enable accelerator cards for security workloads including secure access service edge (SASE), IPsec, and SSL/TLS. Get regularly scheduled insights by signing up for Network World newsletters. ]. Get regularly scheduled insights by signing up for Network World newsletters. ].
Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking. Hypershield uses AI to dynamically refine security policies based on application identity and behavior. Nvidia AI Enterprise software platform.
Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. According to a Bank of America survey of global research analysts and strategists released in September, 2024 was the year of ROI determination, and 2025 will be the year of enterprise AI adoption.
The enhancements aim to provide developers and enterprises with a business-ready foundation for creating AI agents that can work independently or as part of connected teams. Llama is the most widely used open model across every enterprise, but it didnt have reasoning. Super microservices are for high throughput on a single GPU.
With the AI revolution underway which has kicked the wave of digital transformation into high gear it is imperative for enterprises to have their cloud infrastructure built on firm foundations that can enable them to scale AI/ML solutions effectively and efficiently.
Copilot Studio allows enterprises to build autonomous agents, as well as other agents that connect CRM systems, HR systems, and other enterprise platforms to Copilot. Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly.
SAP has unveiled new tools to build AI into business applications across its software platform, including new development tools, database functionality, AI services, and enhancements to its Business Technology Platform, BTP. SAP is training its model on anonymized data from thousands of enterprises using its software, with their consent.
“You cannot just rely on the firewall on the outside, you have to assume that any application or any user inside your data center is a bad actor,” said Manuvir Das, head of enterprise computing at Nvidia. Zero Trust basically just refers to the fact that you can't trust any application or user because there are bad actors.”
For network engineers and security leaders tasked with securing modern enterprise environments, the challenge of preventing lateral threat movement is critical. The resulting solution sprawl has resulted in a lack of consistent east-west visibility, making centralized policy management impossible inside enterprise networks.
By Bob Gourley Enterprise CTOs are increasingly seeking new ways to enable assistive technologies into mission applications and to assist those with needs in interacting with organizational assets and others in the workforce. This makes the category of Assistive Technologies one of growing importance. Analysis CTO'
Cisco, HPE, Dell and others are looking to use Nvidia’s new AI microservice application-development blueprints to help enterprises streamline the deployment of generative AI applications. More applications are expected in the future. NIM Agent Blueprints can also help developers improve the AI application lifecycle.
Secure Access Service Edge (SASE) is a network architecture that combines software-defined wide area networking (SD-WAN ) and security functionality into a unified cloud service that promises simplified WAN deployments, improved efficiency and security, and application-specific bandwidth policies. billion by 2025.
Deepak Jain, 49, of Potomac, was the CEO of an information technology services company (referred to in the indictment as Company A) that provided data center services to customers, including the SEC,” the US DOJ said in a statement. From 2012 through 2018, the SEC paid Company A approximately $10.7
Between building gen AI features into almost every enterprise tool it offers, adding the most popular gen AI developer tool to GitHub — GitHub Copilot is already bigger than GitHub when Microsoft bought it — and running the cloud powering OpenAI, Microsoft has taken a commanding lead in enterprise gen AI. That’s risky.”
According to IT decision-makers surveyed, the service management areas where organizations are least effective are integrating IT silos with systems and applications (cited by only 8% as very effective) and using AI to improve the delivery of ITSM (7% citing it as very effective).
Although organizations have embraced microservices-based applications, IT leaders continue to grapple with the need to unify and gain efficiencies in their infrastructure and operations across both traditional and modern application architectures.
At Trellix, which is positioning itself as a leader in extended detection and response (XDR), she heads the Enterprise Technology and Operations group.Anstett said at her appointment : My number one priority as CIO is to deliver insights to our business to serve our customers. billion range.
A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Up to that point, OpenAI had only allowed enterprises and academics access to the software through a limited API.
Impact on AI chip development The latest restrictions target AI chip manufacturing, reflecting concerns over the potential military applications of the technology in China. The measures seek to limit Beijing’s access to advanced memory and chipmaking tools, further tightening control over critical semiconductor technologies.
Google Cloud has updated its managed compute service Cloud Run with a new feature that will allow enterprises to run their real-time AI inferencing applications serving large language models (LLMs) on Nvidia L4 GPUs. To being with, enterprises may worry about cold start — a common phenomenon with serverless services.
With its new Business Data Cloud, SAP wants to help enterprises unify data held in its own systems with that in other vendors applications: Its goal is to expedite advanced analytics and AI use cases. Although enterprises can continue using Datasphere for now, SAP clearly wants them to move to Business Data Cloud.
NVIDIA NIM Agent Blueprints are runnable AI workflows pretrained for specific use cases that can be modified by any developer,” said Justin Boitano, vice president of enterprise AI software products at NVIDIA. The blueprints are free for developers to download and can be deployed in production with the NVIDIA AI Enterprise software platform.
TIAA has launched a generative AI implementation, internally referred to as “Research Buddy,” that pulls together relevant facts and insights from publicly available documents for Nuveen, TIAA’s asset management arm, on an as-needed basis. Vendors are providing built-in RAG solutions so enterprises won’t have to build them themselves.
Being on the forefront of enterprise storage in the Fortune 500 market, Infinidat has broad visibility across the market trends that are driving changes CIOs cannot ignore. Enterprise storage cyber resilience continues to need to be part of your corporate cybersecurity strategy. This is a multi-faceted trend to keep front and center.
If you’re an enterprise, your network and IT spending are likely under pressure…except for security. Security has gotten too complicated , according to every enterprise who’s offered me an opinion. Said one, “I’m not sure if [my vendor] is Gandalf or is forging the One Ring,” a reference to Tolkien’s fantasy classic.
AI networking AI networking refers to the application of artificial intelligence (AI) technologies to network management and optimization. 5G 5G is fast cellular wireless technology for enterprise IoT, IIoT, and phones that can boost wireless throughput by a factor of 10.
What is enterprise service management? Enterprise service management (ESM) is the practice of applying IT service management (ITSM) principles and capabilities to improve service delivery in non-IT parts of an organizations, including human resources, legal, marketing, facilities, and sales. Benefits of enterprise service management.
LAS VEGAS – Cisco put AI front and center at its Live customer conclave this week, touting new networking, management and security products, along with partnerships and investments it expects will drive enterprise AI deployments. “AI The company also extended its AI-powered cloud insights program.
The Open Group Architecture Framework (TOGAF) is an enterprise architecture methodology that offers a high-level framework for enterprise software development. The TOGAF certification is especially useful for enterprise architects , because it’s a common methodology and framework used in the field. TOGAF definition.
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