From its gaming roots, Nvidia’s GPUs have evolved to power breakthroughs in scientific simulations, data analysis, and machine learning. Follow this page for the latest news, analysis, and features on Nvidia’s advancements and their impact on enterprise transformation.
May 19, 2026: It takes a brave company to go up against Nvidia in any market, let alone graphics performance. Intel tried and failed repeatedly, and AMD is barely hanging on. But Bolt Graphics thinks it has something in its Zeus GPU.
April 27, 2026: Cloud-hosted AI attracts extreme attention and investment. But what if the hype wave collapses? Nvidia’s challenge is to build interest in the boring aspects of future AI business cases when the market’s focus is elsewhere.
April 9, 2026: Nvidia’s latest generation of AI chips, the Nvidia Rubin GPUs, expected to ship later this year, may face supply delays amid ongoing geopolitical pressures and supply chain constraints.
April 7, 2026: Nvidia’s recent acquisition of SchedMD, the company behind the Slurm workload manager, is raising concerns among AI industry executives and supercomputing specialists who fear the chip giant could use its new position to favor its own hardware over competing chips, whether through code prioritization or roadmap decisions.
March 20, 2026: Inference is the core data-center workload, and tokens are the new commodity of the AI era, says Nvidia. Recalling the classic data center during a keynote at GTC, CEO Jensen Huang said “it used to be … for files. It’s now a factory to generate tokens.”
March 17, 2026: Nvidia introduced its Vera Rubin platform, which combines compute, networking, and data processing into rack-scale deployments for large AI data centers, underscoring a shift in hyperscale environments toward more tightly integrated infrastructure.
March 17, 2026: Despite growing rivalry between the two chip makers, AI systems from Nvidia will use CPUs from Intel to maintain x86 continuity across data‑center workflows. Specifically, Nvidia has selected Intel’s Xeon 6 processors as the host CPUs for its Nvidia DGX Rubin NVL8 systems.
March 17, 2026: In the few short weeks since OpenClaw became the biggest story in agentic AI, it has been dogged by concerns that it is not secure enough to be safely let loose in enterprises. This week at the Nvidia GTC conference, CEO Jensen Huang announced what he believes is the answer: NemoClaw. Built in consultation with OpenClaw’s creator, NemoClaw is based on Nvidia Agent Toolkit, part of the broader NeMo ecosystem for building AI agents.
March 17, 2026: Groq 3 LPX was announced at Nvidia GTC as part of an architecture comprising seven new chips and five racks meant to work together as “one big supercomputer.” The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads.
March 12, 2026: Nvidia introduced a new reasoning-focused AI model that combines multiple neural network architectures in a bid to improve how enterprise systems handle complex tasks and automation.
March 2, 2026: Nvidia announced strategic partnerships with Lumentum Holdings and Coherent, which it said are designed to accelerate the development of advanced optics technologies used in AI data center infrastructure.
March 2, 2026: Nvidia has partnered with global telecom providers for a commitment to build 6G on open and secure AI-native platforms, bringing software-defined networking to telecommunications. Announced at the Mobile World Congress conference, the list of Nvidia partners is a who’s who of telecom.
February 24, 2026: Nvidia is developing a system-on-chip for Windows PCs, with Dell and Lenovo among the OEMs planning to build notebooks and desktops around the processor later this year.
February 13, 2026: Nvidia has released analysis showing a 4X to 10X reduction in cost per token for AI inferencing by switching to open source models. The cost reductions were achieved by pairing Nvidia’s Blackwell GPUs with open-source models from Baseten, DeepInfra, Fireworks AI, and Together AI.
February 5, 2026: Nvidia CEO Jensen Huang told CNBC there was no validity to the rumors that he is reconsidering scaling back on his $100 billion investment in data centers for OpenAI, in sharp contrast to reports from the Wall Street Journal.
February 2, 2026: Nvidia continues to throw its sizable bank account around. This time making a $2 billion investment in GPU cloud service provider CoreWeave. The company says the investment reflects Nvidia’s “confidence in CoreWeave’s business, team and growth strategy as a cloud platform built on Nvidia infrastructure.
January 29, 2026: China has reopened access to Nvidia’s advanced AI processors, granting approvals to a small group of its largest technology companies. The companies include ByteDance, Alibaba, and Tencent, which are expected to collectively purchase more than 400,000 of Nvidia’s H200 accelerators
January 26, 2026: Nvidia changed its requirements for suppliers of the next generation of high-bandwidth memory, HBM4, but is close to certifying revised chips from Samsung Electronics for use in its AI systems, according to reports.
January 19, 2026: RISC-V pioneer SiFive has signed a deal with Nvidia to incorporate Nvidia NVLink Fusion into its data center products.The agreement means that SiFive will be able to connect its RISC-V CPUs to Nvidia GPUs and accelerators over a high bandwidth interconnect that lets multiple GPUs share compute and memory resources.
January 14, 2026: In what appears to be a case of diplomatic mind games in action, one day after the US government issued a regulation clearing the way for Nvidia to sell its H200 AI processors to Chinese companies on a case-by-case basis, a published report has revealed Chinese custom officers have been told not to let them into the country.
January 7, 2026: Lenovo is pairing its liquid-cooled systems and networking with Nvidia platforms to deliver what it calls “AI cloud gigafactories” designed to reduce deployment timelines from months to weeks.
December 26, 2025: For Nvidia, 2025 was not just about faster GPUs. It was about the fundamental re-architecture of the enterprise data center from a storage/retrieval hub to a manufacturing plant for intelligence – or the AI factory.
December 16, 2025: Nvidia has taken a strategic step deeper into the AI software stack with its acquisition of SchedMD, the developer of Slurm, a widely used open-source workload manager for high-performance computing and AI clusters.
December 15, 2025: AI agents must be able to cooperate, coordinate, and execute across large contexts and long time periods, and this, says Nvidia, demands a new type of infrastructure, one that is open.
December 2, 2025: HPE unveiled a wide range of networking gear and software to help enterprise customers move efficiently into the AI networking era. The rollout includes new switches and routers as well as deepened HPE’s partnerships with AMD and Nvidia.
December 2, 2025: Nvidia announced a $2 billion investment in Synopsys, a chip design software maker, placing the GPU giant in the unusual position of holding substantial equity in a company that serves on the board of an industry consortium developing technology that competes with Nvidia’s own interconnect technology.
November 20, 2025: Nvidia CFO Colette Kress’s claim that “The clouds are sold out, and our GPU-installed base […] is fully utilized,” may have thrilled shareholders listening to the company’s earnings call on Wednesday, but it’s bad news for CIOs and data center managers who were counting on Nvidia for increased AI computing capacity.
November 17, 2025: The world’s fourth exascale supercomputer has arrived, pitting Nvidia’s proprietary chip technologies against the x86 systems that have dominated supercomputing for decades.
November 17, 2025: At this week’s Supercomputing Conference, Nvidia highlighted how it expects to accelerate computing to quantum processors in the future.
November 17, 2025: Nvidia announced that more than 80 science-oriented systems powered by its platform have been deployed around the globe in the last year, at a combined total of 4,500 exaFLOPs of AI performance.
November 14, 2025: Hewlett Packard Enterprise said its next-generation Cray supercomputing platform will offer a choice of processors from Nvidia and AMD, even though the chips aren’t available yet and the system is likely not going to be available until 2027.
October 29, 2025: Cisco and Nvidia are ramping up their partnership. The latest deliverables include the new Cisco N9100 series data center switch built on Nvidia’s Spectrum-X Ethernet switch silicon. The two vendors also unveiled reference architectures to guide customer AI implementations of Cisco and Spectrum-X networks.
October 28, 2025: Networking technology took center stage at Nvidia’s GTC DC developers show as a range of networking products were introduced for high-performance AI inference processing and more. The spotlight was on the launch of the ConnectX-9 SuperNIC. This next-generation network interface card delivers 1.6T GPU, with advanced RDMA capabilities and PCIe Gen 6 support.
October 28, 2025: Quantum Circuits announced that its dual-rail Seeker quantum processing unit now supports Nvidia’s CUDA-Q programming language, a move designed to help developers combine quantum computing with AI and machine learning workloads as the two technologies increasingly intersect.
October 21, 2025: If you’re a Java developer at a bank or a JavaScript developer at a retailer, you’ve probably spent your career blissfully ignoring hardware.That’s what the cloud is for. And Nvidia? That was just for gamers, crypto miners, or those PhDs in the AI lab playing with massive models. Except, it’s not anymore.
October 16, 2025: Infineon is teaming up with Nvidia to upgrade the outdated power architecture of AI data centers and replace them with a centralized high-voltage DC power setup.
October 15, 2025: Nvidia’s “personal AI supercomputer,” the DGX Spark, may run fast but it’s been slow getting here. It finally went on sale today, five months later than the company initially promised, and early units are hard to find:
October 13, 2025: Nvidia will be front-and-center at this week’s Global Summit for members of the Open Compute Project. The company is making announcements on several fronts, including the debut of Vera Rubin MGX, its next-gen architecture fusing CPUs and GPUs, and Spectrum-XGS Ethernet, a networking fabric designed for “giga-scale” AI factories.
October 6, 2025: Nvidia has partnered with Fujitsu to collaborate on vertical industry-specific artificial intelligence projects. The partnership will focus on co-developing and delivering an AI agent platform tailored for industry-specific agents in sectors such as healthcare, manufacturing, and robotics.
September 23, 2025: OpenAI and Nvidia will create a strategic partnership to deploy at least 10 gigawatts of Nvidia systems for OpenAI’s next-generation AI infrastructure.The first phase is expected to come online in the second half of 2026 using Nvidia’s Vera Rubin CPU/GPU combination platform to train and run new models.
September 22, 2025: Nvidia is dipping into its $56 billion bank account to acquire a 5% stake in Intel for $5 billion, making it the second largest shareholder of Intel stock after the federal government’s recent investment. The deal provides Nvidia greater access to the x86 ecosystem, important for the enterprise data center market, and provides Intel with access to GPUs that have demand and can move their CPU products as well.
September 19, 2025: Nvidia has hired away the CEO and other staff of chip interconnect maker Enfabrica, and licensed its core technologies in a deal worth over $900 million, Behind the move is demand for computing capacity to power generative AI for the likes of OpenAI, Anthropic, Mistral, AWS, Microsoft, and Google.
September 18, 2025: Intel will collaborate with Nvidia to design CPUs with Nvidia’s NVLink high-speed chip interconnect. Nvidia and Intel also agreed to “jointly develop multiple generations of custom data center and PC products,” they said in a joint statement.
September 16, 2025: China has accused Nvidia of breaching its anti-monopoly law, a move that could disrupt the chipmaker’s global operations and heighten risks for enterprises dependent on its GPUs as US-China trade tensions escalate.
September 9, 2025: Nvidia has taken the wraps off a new purpose-built GPU along with a next-generation platform specifically targeted at massive-context processing as well as token software coding and generative video.
September 9, 2025: Cadence has updated to its Cadence Reality Digital Twin Platform library with the addition of digital twins for Nvidia’s DGX SuperPOD with DGX GB200 systems.
September 4, 2025: Nvidia’s networking roadmap is based on data centers evolution into a new unit of computing, from a focus on CPUs to GPUs as the primary computing units and from the distribution of functions across different components to support the infrastructure for AI workload
August 25, 2025: Nvidia CEO Jensen Huang sees a future where billions of robots serve humans, bringing in trillions of dollars in revenue for the company. To meet that goal, Nvidia on Monday unveiled a new computing device that will go into high-performing robots that could then try to replicate human behavior.
August 22, 2025: Nvidia wants to make long-haul GPU-to-GPU communication over Ethernet faster and more reliable, and hopes to achieve that with its new Spectrum-XGS algorithms, software protocols baked into Nvidia’s latest Ethernet gear. .
August 15, 2025: Nvidia has floated the idea of “Graphics 3.0” with the hope of making AI-generated graphics central to physical productivity. The concept revolves around graphics created by genAI tools. Nvidia say AI-generated graphics could help in training robots to do their jobs in the physical world or by helping AI assistants automate the creation of equipment and structures.
August 12, 2025: Nvidia announced two new professional GPUs, the RTX Pro 4000 Small Form Factor (SFF) and the RTX Pro 2000. Built on its Blackwell architecture, Nvidia’s new GPUs aim to deliver powerful AI capabilities in compact desktop and workstation deployments.
August 11, 2025: Nvidia has developed a genAI model to help robots make human-like decisions by analyzing surrounding scenes. The Cosmos Reason model in robots can take in information from video and graphics input, analyze the data, and use its understanding to make decisions.
August 5, 2025: A surprising attack chain in Nvidia’s Triton Inference Server, starting with a seemingly minor memory-name leak, could allow full remote server takeover without user authentication.
August 4, 2025: China escalated pressure on Nvidia with the state-controlled People’s Daily publishing an opinion piece titled “Nvidia, how can I trust you?” — a day after regulators summoned company officials over alleged security vulnerabilities in H20 artificial intelligence chips.
July 15, 2025: Nvidia will restart H20 AI chip sales to China and release a new GPU model compliant with export rules, a move that could impact global AI hardware strategies for enterprise IT teams. Nvidia has applied for US approval to resume sales and says that the government has indicated licenses will be granted and deliveries could begin soon.
July 15, 2025: Nvidia has issued a security reminder to application developers, computer manufacturers, and IT leaders that modern memory chips in graphic processors are potentially susceptible to so-called Rowhammer exploits after Canadian university researchers proved that an Nvidia A6000 GPU could be successfully compromised with a similar attack.
July 11, 2025: Nvidia became the first publicly traded company to surpass a $4 trillion market capitalization value, 13 months after surpassing the $3 trillion mark. This makes Nvidia the world’s most valuable company ahead of Apple and Microsoft.
Jul 8, 2025: Have a question that needs to process an encyclopedia-length dataset? Nvidia says its new technique can answer it instantly. Built leveraging the company’s Blackwell processor’s capabilities, the new “Helix Parallelism” method allows AI agents to process millions of words — think encyclopedia-length — and support up to 32x more users at a time.
July 8, 2025: Nvidia’s recent initiative to dive deeper into the GPU-as-a-service (GPUaaS) model marks a significant and strategic shift that reflects an evolving landscape within the cloud computing market.
June 12, 2025: Nvidia and AI search firm Perplexity said they are joining hands with model builders and cloud providers across Europe and the Middle East to refine sovereign large-language models (LLMs) and accelerate enterprise AI uptake in local industries.
June 11, 2025: Nvidia executives think sovereign AI has the potential to change digital work as generative AI (genAI) aligns with national priorities and local regulations.
June 9, 2025: AWS has reduced the prices of some of its Nvidia GPU-accelerated instances to attract more AI workloads while competing with rivals, such as Microsoft and Google, as demand for GPUs and the cost of securing them continues to grow.
June 6, 2025: Nvidia hopes to maximize RAN infrastructure use (traditional networks average a low 30% to 35%), use AI to rewrite the air interface, and enhance performance and efficiency through radio signal processing. The longer-term goal is to seamlessly process AI traffic at the network edge to create new monetization opportunities for service providers.
May 26, 2025: Oracle is reportedly spending about $40 billion on Nvidia’s high-performance computer chips to power OpenAI’s new data center in Texas, marking a pivotal shift in the AI infrastructure landscape that has significant implications for enterprise IT strategies.
May 26, 2025: Nvidia plans to launch a lower-cost AI chip for China in June, aiming to protect market share under the US export controls and signal a broader shift toward affordable, segmented products that could impact global enterprise AI spending.
May 19, 2025: Nvidia introduced DGX Cloud Lepton, an AI-centric cloud software program that makes it easier for AI factories to rent out their hardware to developers who wish to access performant compute globally.
May 19, 2025: Nvidia kicked off the Computex systems hardware tradeshow with the news it has opened the NVLink interconnect technology to the competition with the introduction of NVLink Fusion. NVLink is a high-speed interconnect born out of its Mellanox networking group which lets multiple GPUs in a system or rack share compute and memory resources, thus making many GPUs appear to the system as a single processor.
May 15, 2025: As part of the avalanche of business deals coming from President Trump’s Middle East tour, both AMD and Nvidia have struck multi-billion dollar deals with an emerging Saudi AI firm. The deals served as the coming out party for Humain, a state-backed artificial intelligence (AI) company that operates under the Kingdom’s Public Investment Fund (PIF) and is chaired by Crown Prince Mohammed bin Salman.
May 6, 2025: Nvidia and ServiceNow have created an AI model that can help companies create learning AI agents to automate corporate workloads..The open-source Apriel model, available generally in the second quarter on HuggingFace, will help create AI agents that can make decisions around IT, human resources and customer-service functions.
April 29, 2025: The move marks the first wave of liquid-cooled Nvidia GB200 NVL72 racks in OCI data centers, involving thousands of Nvidia Grace CPUs and Blackwell GPUs.
April 23, 2025: Nvidia announced the general availability of neural module (NeMo) microservices, a modular platform for building and customizing gen AI models and AI agents.NeMo microservices integrate with partner platforms to provide features including prompt tuning, supervised fine-tuning, and knowledge retrieval tools.
April 16, 2025: Nvidia now expects new US government restrictions on exports of its H20 chip to China will cost the company as much as $5.5 billion.
April 15, 2025: A critical race condition bug affecting the Nvidia Container Toolkit, which received a fix in September, might still be open to attacks owing to incomplete patching.
April 14, 2025: There was mixed reaction from industry analysts over an announcement that Nvidia plans to produce AI supercomputers entirely in the US. The company said in a blog post that, together with its manufacturing partners, it has commissioned more than one million square feet (92,900 square meters) of manufacturing space to build and test Nvidia Blackwell chips in Arizona and AI supercomputers in Texas.
April 2, 2025: The AI chip shortage could become even more dire as Chinese customers are purportedly looking to hoard Nvidia chips ahead of a proposed US sales ban. According to inside sources, Chinese companies including ByteDance, Alibaba Group, and Tencent Holdings have ordered at least $16 billion worth of Nvidia’s H20 server chips for running AI workloads in just the first three months of this year.
April 2, 2025: Nvidia released a set of MLPerf Inference V5.0 benchmark results for its Blackwell GPU, the successor to Hopper, saying that its GB200 NVL72 system, a rack-scale offering designed for AI reasoning, set a series of performance records.
March 25, 2025: Now that the dust has settled from Nvidia’s GTC 2025, a few industry experts weighed in on some core big picture developments from the conference. Here are five of their top observations.
March 24, 2025: After last week’s Nvidia GTC 2025 event, a new, fuller picture of the vendor emerged. Analysts agree that Nvidia is not just a graphics chip provider anymore. It’s a full-stack solution provider, and GPUs are just one of many parts.
March 21, 2025: As enterprises look to adopt agentic AI to boost the efficiency of their applications, Nvidia introduced a new open-source software library — AgentIQ toolkit — to help developers connect disparate agents and agent frameworks. The toolkit, according to Nvidia, packs in a variety of tools, including ones to weave in RAG, search, and conversational UI into agentic AI applications.
March 21, 2025: In a move to help accelerate the timeline for practical, real-world quantum applications, Nvidia is establishing the Nvidia Accelerated Quantum Research Center. “Quantum computing will augment AI supercomputers to tackle some of the world’s most important problems,” Nvidia CEO Jensen Huang said.
March 19, 2025: An industry generative artificial intelligence (genAI) alliance, the AI Infrastructure Partnership (AIP), on Wednesday announced that xAI, Nvidia, GE Vernova, and NextEra Energy were joining BlackRock, Microsoft, and Global Infrastructure Partners as members.
March 19, 2025: New collaborations between IBM and Nvidia have yielded a content-aware storage capability for IBM’s hybrid cloud infrastructure, expanded integration between watsonx and Nvidia NIM, and AI services from IBM Consulting that use Nvidia Blueprints.
March 19, 2025: Amid the flood of news from Nvidia’s annual GTC event, one item stood out. Nvidia introduced new silicon photonics network switches that integrate network optics into the switch using a technique called co-packaged optics (CPO), replacing traditional external pluggable transceivers. While Nvidia alluded to its new switches providing a cost savings, the primary benefit is to reduce power consumption with an improvement in network resiliency.
March 19, 2025: Chipmaker Nvidia has released a new open-source inferencing software — Dynamo, at its GTC 2025 conference, that will allow enterprises to increase throughput and reduce cost while using large language models on Nvidia GPUs.
March 19, 2025: AI Infrastructure Partnership (AIP) announced that xAI, Nvidia, GE Vernova, and NextEra Energy joined the AIP. But given that no financial commitments or any other details were released, will it make a difference?
March 19, 2025: HPE news from Nvidia GTC includes a new Private Cloud AI developer kit, Nvidia AI blueprints, GPU optimization capabilities, and servers built with Nvidia Blackwell Ultra and Blackwell architecture.
March 18, 2025: Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking.
March 18, 2025: The company has post-trained its new Llama Nemotron family of reasoning models to improve multistep math, coding, reasoning, and complex decision-making. 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.
March 18, 2025: Nvidia CEO Jensen Huang shared previously unreleased specifications for its Rubin graphics processing unit (GPU), due in 2026, the Rubin Ultra coming in 2027, and announced the addition of a new GPU called Feynman to the mix for 2028.
March 18, 2025: Nvidia’s AI Enterprise stack will be available natively through the OCI Console and will be available anywhere in OCI’s distributed cloud while providing enterprises access to over 160 AI tools for training and inference, including NIM microservices, the companies said in a joint statement at Nvidia’s annual GTC conference.
March 3, 2025: Last year, Nvidia’s GTC 2024 grabbed headlines with the introduction of the Blackwell architecture and the DGX systems powered by it. With Nvidia GTC 2025 right around the corner, the tech world is eager to see what Nvidia – and its partners and competitors – will unveil next.
February 25, 2025; Cisco and Nvidia have expanded their collaboration to support enterprise AI implementations by tying Cisco’s Silicon One technology to Nvidia’s Ethernet networking platform. The extended agreement is designed to offer customers yet another way to support AI workloads across the data center and strengthens both companies’ strategies to expand the role of Ethernet networking for AI in the enterprise.
February 14, 2025: Through new partnerships with industry leaders, Nvidia aims to advance practical use cases for AI in healthcare and life sciences. It’s a logical move: Healthcare has the most significant upside, particularly in patient care, among all the industries applicable to AI.
February 12, 2025: Nvidia partnered with leading cybersecurity firms to provide real-time security protection using its accelerator and networking hardware in combination with its AI software. Under the agreement, Nvidia will provide integration of its BlueField and Morpheus hardware with cyber defenses software from Armis, Check Point Software Technologies, CrowdStrike, Deloitte and World Wide Technology .
February 7, 2025: Nvidia is touting a near 50% improvement in storage read bandwidth thanks to intelligence in its Spectrum-X Ethernet networking equipment, according to the vendor’s technical blog post. Spectrum-X is a combination of the company’s Spectrum-4 Ethernet switch and BlueField-3 SuperNIC smart networking card, which supports RoCE v2 for remote direct memory access (RDMA) over Converged Ethernet.
February 3, 2025: The chipmaker stock plummeted 17% after Chinese AI developer DeepSeek unveiled its DeepSeek-R1 LLM. Last week, Nvidia announced the DeepSeek-R1 model is now available as a preview Nvidia inference microservice (NIM) on build.nvidia.com.
January 31, 2025: Nvidia stock plummeted 17% after Chinese AI developer, DeepSeek, unveiled its DeepSeek-R1 LLM. Later the same week, the chipmaker turned around and announced the DeepSeek-R1 model is available as a preview Nvidia inference microservice (NIM) on build.nvidia.com.
January 16, 2025: Nvidia added new Nvidia inference microservices (NIMs) for AI guardrails to its Nvidia NeMo Guardrails software tools. The new microservices aim to help enterprises improve accuracy, security, and control of agentic AI applications, addressing a key reservation IT leaders have about adopting the technology.
January 10, 2025: Last year was Nvidia’s year. Its command of mindshare and market share was unequaled among tech vendors. Here’s a recap of some of the key Nvidia events of 2024 that highlight just how powerful the world’s most dominant chip player is.
January 8, 2025: Nvidia recently issued designs for AI factories after hyping up the idea for several months. Now it has come out with AI blueprints, essentially prebuilt templates that give developers a jump start on creating AI systems.
January 6, 2025: Nvidia is readying a tiny desktop device called Project DIGITS, a “personal AI supercomputer” with a lightweight version of the Grace Blackwell platform found in its most powerful servers; it’s aimed at data scientists, researchers, and students who will be able to prototype, tune, and run large genAI models.
January 6, 2025: At CES in Las Vegas, Nvidia trumpeted a slew of AI announcements, with an emphasis on generative physical AI that promises a new revolution in factory and warehouse automation. “AI requires us to build an entirely new computing stack to build AI factories, accelerated computing at data center scale,” Rev Lebaredian, vice president of omniverse and simulation technology at Nvidia.
December 30, 2024: Verizon and Nvidia partnered to build AI services for enterprises that run workloads over Verizon’s 5G private network. The new offering, 5G Private Network with Enterprise AI, will run a range of AI applications and workloads over Verizon’s private 5G network with Mobile Edge Compute (MEC). MEC is a colocated infrastructure that is a part of Verizon’s public wireless network, bringing compute and storage closer to devices and endpoints for ultra-low latency.
December 20, 2024: Nvidia will face no objections to its plan to acquire Israeli AI orchestration software vendor Run:ai Labs in Europe, after the European Commission gave the deal its approval today. But Nvidia may not be out of the woods yet. Competition authorities in other markets are closely examining the company’s acquisition strategy.
December 10, 2024: China has initiated an investigation into Nvidia over alleged violations of the country’s anti-monopoly laws, signaling a potential escalation in the ongoing tech and trade tensions between Beijing and Washington.
November 18, 2024: Nvidia’s next-generation Blackwell data center processors have significant problems with overheating when installed in high-capacity server racks, forcing redesigns of the racks themselves, according to a report by The Information. These issues have reportedly led to design changes, meaning delays in shipping product and raising concern that its biggest customers, including Google, Meta, and Microsoft, will be able to deploy Blackwell servers according to their schedules.
October 24, 2024: Nvidia plans to deploy thousands of Hopper GPUs in India to create AI factories and collaborate with Reliance Industries to develop AI infrastructure.. Yotta Data Services, Tata Communications, E2E Networks, and Netweb will lead the AI factories — large-scale data centers for producing AI. Nvidia added that the expansion will provide nearly 180 exaflops of computing power.
October 15, 2024: Nvidia contributed to the Open Compute Project its Blackwell GB200 NVL72 electro-mechanical designs – including the rack architecture, compute and switch tray mechanicals, liquid cooling and thermal environment specifications, and Nvidia NVLink cable cartridge volumetrics –.
October 08, 2024: As concerns over AI energy consumption ratchet up, chip maker Nvidia is defending what it calls a steadfast commitment to sustainability. The company reports that its GPUs have experienced a 2,000X reduction in energy use over the last 10 years in training and a 100,000X energy reduction over that same time in generating tokens.
October 4, 2024: Accenture and Nvidia announced an expanded partnership focused on helping customers rapidly scale AI adoption. Accenture said the new group will use Accenture’s AI Refinery platform — built on the Nvidia AI stack, including Nvidia AI Foundry, Nvidia AI Enterprise, and Nvidia Omniverse — to help clients create a foundation for use of agentic AI.
October 1, 2024: IBM expanded access to Nvidia GPUs on IBM Cloud to help enterprise customers advance their AI implementations, including large language model (LLM) training. IBM Cloud users can now access Nvidia H100 Tensor Core GPU instances in virtual private cloud and managed Red Hat OpenShift environments.
September 12, 2024: Oracle started taking pre-orders for 131,072 Nvidia Blackwell GPUs in the cloud via its Oracle Cloud Infrastructure (OCI) Supercluster to aid large language model (LLM) training and other use cases, the company announced at the CloudWorld 2024 conference. The launch of an offering that provides these many Blackwell GPUs, also known as Grace Blackwell (GB) 200, is significant as enterprises globally are faced with the unavailability of high-bandwidth memory (HBM) — a key component used in making GPUs.
September 11, 2024: After a stock sell-off following its quarterly earnings report, Nvidia’s pain was aggravated by news that the Department of Justice is escalating its investigation into the company for anticompetitive practices. According to a Bloomberg report, the DOJ sent a subpoena to Nvidia as part of a probe into alleged antitrust practices.
September 4, 2024: Cisco, HPE, and Dell are using Nvidia’s new AI microservices blueprints to help enterprises streamline the deployment of generative AI applications. Nvidia’s announced its NIM Agent Blueprints, a catalogue of pretrained, customizable AI workflows that are designed to provide a jump-start for developers creating AI applications. NIM Agent Blueprints target a number of use cases, including customer service, virtual screening for computer-aided drug discovery, and a multimodal PDF data extraction workflow for retrieval-augmented generation (RAG) that can ingest vast quantities of data.
August 4, 2024: Nvidia scraped huge amounts of data from YouTube to train its AI models, even though neither Youtube nor individual YouTube channels approved the move, according to leaked documents. Among other things, Nvidia reportedly used the YouTube data to train its deep learning model Cosmos, an algorithm for automated driving, a human-like AI avatar, and Omniverse, a tool for building 3D worlds.
June 9, 2024: Intel is aiming its next-generation X86 processors at AI tasks, even though the chips won’t actually run AI workloads themselves.mAt Computex, Intel announced its Xeon 6 processor line, talking up what it calls Efficient-cores (E-cores) that it said will deliver up to 4.2 times the performance of Xeon 5 processors. The first Xeon 6 CPU is the Sierra Forest version (6700 series) a more performance-oriented line, Granite Rapids with Performance cores (P-cores or 6900 series), will be released next quarter.
May 30, 2024: A clear sign of Nvidia’s dominance is when Intel and AMD link arms to deliver a competing product. That’s what happened when AMD and Intel – along with Broadcom, Cisco, Google, Hewlett Packard Enterprise, Meta and Microsoft – formed the Ultra Accelerator Link (UALink) Promoter Group to develop high-speed interconnections between AI processors.
May 15, 2024: The U.S. government will use an Nvidia DGX SuperPOD to provide researchers and developers access to much more computing power than they have had in the past to produce generative AI advances in areas such as climate science, healthcare and cybersecurity.
April 11, 2024: Alphabet’s Google Cloud unveiled a slew of new products and services at Google Cloud Next 2024, among them a program to help startups and small businesses build generative AI applications and services. The initiative brings together the Nvidia Inception program for startups and the Google for Startups Cloud Program.
March 29, 2024: Nvidia’s GDC is in our rearview mirror, and there was plenty of news beyond the major announcement of the Blackwell architecture and the massive new DGX systems powered by it. Here’s a rundown of some of the announcements you might have missed.
March 19, 2024: Nvidia extended its existing partnerships with hyperscalers Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, and Oracle Cloud Infrastructure, to make available its latest GPUs and foundational large language models and to integrate its software across their platforms.
March 18, 2024: Nvidia kicked off its GTC 2024 conference with the formal launch of Blackwell, its next-generation GPU architecture due at the end of the year. Blackwell uses a chiplet design, to a point. Whereas AMD’s designs have several chiplets, Blackwell has two very large dies that are tied together as one GPU with a high-speed interlink that operates at 10 terabytes per second, according to Ian Buck, vice president of HPC at Nvidia.
February 9, 2024: Cisco and Nvidia expanded their partnership to offer integrated software and networking hardware that promises to help customers more easily spin up infrastructure to support AI applications. The agreement deepens both companies’ strategy to expand the role of Ethernet networking for AI workloads in the enterprise. It also gives both companies access to each other’s sales and support systems.
January 9, 2024: Nvidia partnered with data center giant Equinix to offer what the vendors are calling Equinix Private AI with Nvidia DGX, a turnkey solution for companies that are looking to get into the generative AI game but lack the data center infrastructure and expertise to do it.
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