Trending Now - Tech Giants Innovate With New AI Tools and Custom Solutions
WHO:
Michael Truell, cofounder and CEO of Cursor, stated, “We’re excited to use NVIDIA Vera CPUs to improve overall throughput and efficiency so we can deliver faster, more responsive coding agent experiences for our customers.”
Alex Gallego, founder and CEO of Redpanda, said, “Redpanda recently tested NVIDIA Vera running Apache Kafka-compatible workloads and saw dramatically better performance than other systems we’ve benchmarked, delivering up to 5.5x lower latency.”
John Cazes, director of high-performance computing at Texas Advanced Computing Center (TACC), stated, “At TACC, we recently tested NVIDIA’s Vera CPU platform as we prepare for deployment in our upcoming Horizon system — and running six of our scientific applications, we saw impressive early results.”
Jensen Huang, founder and CEO of NVIDIA, stated, “The CPU is no longer simply supporting the model; it’s driving it. With breakthrough performance and energy efficiency, Vera unlocks AI systems that think faster and scale further.”
Baiju Bhatt, founder and CEO of Aetherflux, stated, “At Aetherflux, we’re pioneering a new paradigm for power and compute in space.”
Mina Mitry, CEO of Kepler Communications, said, “Kepler Communications is building the next-generation data network that enables real-time connectivity in space.”
Will Marshall, cofounder and CEO of Planet, said, “Planet images the Earth every day, a data challenge that requires the world's most advanced computing.”
Rob DeMillo, CEO of Sophia Space, stated, “Sophia Space’s focus is on building modular, passively cooled, hosted computing platforms that give customers dedicated infrastructure to run applications directly in space.”
Philip Johnston, CEO of Starcloud, said, “Starcloud is building purpose-designed orbital data centers to deliver cloud and AI infrastructure directly in space.”
Dario Amodei, CEO and cofounder of Anthropic.
Sam Altman, CEO of OpenAI.
Timothée Lacroix, cofounder and chief technology officer of Mistral AI.
Arthur Mensch, cofounder and CEO of Mistral AI.
Baiju Bhatt, founder and CEO of Aetherflux.
Mina Mitry, CEO of Kepler Communications.
Will Marshall, cofounder and CEO of Planet.
Rob DeMillo, CEO of Sophia Space.
Philip Johnston, CEO of Starcloud.
Kyle Laughlin, SVP, Research & Development and Technology & Engineering at Walt Disney Imagineering.
NVIDIA, led by founder and CEO Jensen Huang.
Collaborating customers include Alibaba, ByteDance, Meta, Oracle Cloud Infrastructure, CoreWeave, Lambda, Nebius, and Nscale.
Manufacturing partners include Dell Technologies, HPE, Lenovo, Supermicro, ASUS, Compal, Foxconn, GIGABYTE, Pegatron, Quanta Cloud Technology (QCT), Wistron, and Wiwynn.
AI labs and developers include Anthropic, OpenAI, and Mistral AI.
John Cazes, director of high-performance computing at Texas Advanced Computing Center (TACC).
Michael Truell, cofounder and CEO of Cursor.
Alex Gallego, founder and CEO of Redpanda.
WHAT:
The NVIDIA Vera CPU rack integrates 256 liquid-cooled Vera CPUs, supporting over 22,500 concurrent CPU environments, each running independently at full performance.
The NVIDIA Groq 3 LPX rack will include 256 Groq 3 LPUs, providing low-latency performance for AI models.
The Groq 3 LPX rack features a total SRAM capacity of 128GB and a total SRAM bandwidth of 40 PBps.
The NVIDIA BlueField-4 STX rack-scale system is designed to improve the rate at which data can be accessed by agentic AI applications, providing four times greater energy efficiency than traditional CPU architectures for high-performance storage.
The NVIDIA Vera Rubin platform includes seven new chips now in full production.
The NVIDIA Vera Rubin NVL72 rack integrates 72 Rubin GPUs and 36 Vera CPUs connected by NVLink 6, achieving up to 10x higher inference throughput per watt at one-tenth the cost per token.
NVIDIA Space-1 Vera Rubin Module delivers up to 25 times more AI compute for space-based inferencing compared to the NVIDIA H100 GPU.
NVIDIA's RTX PRO 6000 Blackwell Server Edition GPU delivers up to 100 times faster performance versus legacy CPU-based batch systems when analyzing massive imagery archives.
NVIDIA's Groq 3 LPX rack will feature a total SRAM capacity of 128GB and a total SRAM bandwidth of 40 PBps.
The Groq 3 LPX rack is expected to boost throughput for a 1-trillion-parameter GPT model by 35 times compared to the previous-generation Blackwell NVL72.
The NVIDIA Vera CPU rack can support more than 22,500 concurrent CPU environments, each running independently at full performance.
NVIDIA's Vera Rubin platform includes seven new chips now in full production.
The NVIDIA Vera CPU rack integrates 256 Vera CPUs and can support more than 22,500 concurrent CPU environments.
The NVIDIA Groq 3 LPX rack features 256 Groq 3 LPUs and a total SRAM bandwidth of 40 PBps.
The NVIDIA BlueField-4 STX rack is designed to improve data access rates for agentic AI applications, providing four times greater energy efficiency than traditional CPU architectures.
The NVIDIA DSX platform aims to enable the deployment of 30% more AI infrastructure within a fixed-power data center.
The NVIDIA Omniverse DSX Blueprint is now generally available for building digital twins for AI factory design and simulation.
Aetherflux is using the NVIDIA Space-1 Vera Rubin Module to enable autonomous operations and mission-critical services powered by solar energy.
Kepler Communications is integrating NVIDIA Jetson Orin to manage and route data across its satellite constellation.
Planet is using NVIDIA’s accelerated platform to enhance its ability to index the physical world and provide actionable insights in near real time.
Sophia Space is embedding AI capability into its modular computing platforms for real-time processing in space.
Starcloud is building orbital data centers to deliver cloud and AI infrastructure directly in space.
Olaf, the animatronic character, will debut in the World of Frozen at Disneyland Paris on March 29th, 2026.
The NVIDIA Vera CPU rack integrates 256 liquid-cooled Vera CPUs, supporting over 22,500 concurrent CPU environments, each running independently at full performance.
The NVIDIA Groq 3 LPX rack will include 256 Groq 3 LPUs, providing low-latency performance for AI models.
The Groq 3 LPX rack is expected to boost throughput for a 1-trillion-parameter GPT model by 35 times compared to the previous-generation Blackwell NVL72.
The Groq 3 LPX rack features a total SRAM capacity of 128GB and a total SRAM bandwidth of 40 PBps.
The NVIDIA BlueField-4 STX rack-scale system is designed to improve the rate at which data can be accessed by agentic AI applications, providing four times greater energy efficiency than traditional CPU architectures for high-performance storage.
The NVIDIA Space-1 Vera Rubin Module delivers up to 25 times more AI compute for space-based inferencing compared to the NVIDIA H100 GPU.
The NVIDIA IGX Thor and Jetson Orin platforms are designed for edge AI inferencing in space, providing energy-efficient, high-performance AI inference.
The NVIDIA Vera Rubin DSX AI Factory reference design outlines how to design, build, and operate the entire AI factory infrastructure stack, maximizing AI tokens per watt of available energy.
NVIDIA launched the Vera CPU, designed for agentic AI, delivering twice the efficiency and 50% faster performance than traditional CPUs.
The Vera CPU rack integrates 256 liquid-cooled Vera CPUs, supporting over 22,500 concurrent CPU environments.
The Vera CPU features 88 custom NVIDIA-designed Olympus cores, 176 threads, and 1.2 TB/s memory bandwidth.
The Groq 3 LPX rack will include 256 Groq 3 LPUs, providing low-latency performance for AI models.
The Vera Rubin NVL72 rack integrates 72 Rubin GPUs and 36 Vera CPUs, achieving up to 10x higher inference throughput per watt.
NVIDIA reported a record revenue of $215.9 billion for the fiscal year 2026.
Redpanda reported up to 5.5x lower latency using NVIDIA Vera for Apache Kafka-compatible workloads.
The Vera CPU rack can deliver two times greater performance across various workloads compared to the previous-generation Grace CPU.
WHERE:
Announced at NVIDIA's GTC 2026 event in San Jose, California.
National laboratories planning to deploy Vera CPUs include Leibniz Supercomputing Centre, Los Alamos National Laboratory, Lawrence Berkeley National Laboratory, and Texas Advanced Computing Center.
WHEN:
The NVIDIA Vera CPU will be available in the second half of 2026.
The Groq 3 LPX rack is expected to be available in the second half of 2026.
The NVIDIA BlueField-4 STX storage rack is expected to become available in the second half of 2026.
The NVIDIA Vera Rubin platform is expected to be available from partners starting in the second half of 2026.
The NVIDIA Vera CPU will be available in the second half of 2026.
The Groq 3 LPX rack is expected to be available in the second half of 2026.
The NVIDIA BlueField-4 STX storage rack is expected to become available in the second half of 2026.
The NVIDIA Vera CPU will be available in the second half of 2026.
The Groq 3 LPX rack is expected to be available in the second half of 2026.
WHY:
Jensen Huang stated, “Vera Rubin is a generational leap — seven breakthrough chips, five racks, one giant supercomputer — built to power every phase of AI.”
Jensen Huang stated, “The agentic AI inflection point has arrived with Vera Rubin kicking off the greatest infrastructure buildout in history.”
Dario Amodei emphasized the need for infrastructure that can keep pace with increasingly complex reasoning and agentic workflows.
Jensen Huang stated, “The agentic AI inflection point has arrived with Vera Rubin kicking off the greatest infrastructure buildout in history.”
Dario Amodei emphasized the need for infrastructure that can keep pace with increasingly complex reasoning and agentic workflows.
Jensen Huang stated, “Space computing, the final frontier, has arrived,” emphasizing the need for intelligence wherever data is generated.
The NVIDIA Vera Rubin platform aims to power every phase of AI, from massive-scale pretraining to real-time agentic inference, addressing the growing demands of AI applications.
The launch of the Vera CPU and associated infrastructure aims to support the growing demands of agentic AI and reinforcement learning.
Jensen Huang stated that the CPU is now driving AI systems rather than merely supporting them.
HOW:
The NVIDIA Vera Rubin DSX AI Factory reference design provides a guide for building codesigned AI infrastructure that delivers maximum token per watt and accelerated time to first production.
The NVIDIA Omniverse DSX Blueprint allows developers to build physically accurate digital twins of their AI factories, simulating operations in real time.
The NVIDIA Vera Rubin DSX AI Factory reference design provides a guide for building AI infrastructure that maximizes tokens per watt and accelerates time to first production.
The Omniverse DSX Blueprint allows developers to build physically accurate digital twins of their AI factories, simulating operations in real time.
Olaf learned to balance on a moving boat using deep reinforcement learning through NVIDIA's Kamino simulator, allowing him to navigate real-world obstacles.
The NVIDIA Vera CPU uses NVIDIA NVLink™-C2C interconnect technology for high-speed data sharing between CPUs and GPUs, with 1.8 TB/s of coherent bandwidth.
The Vera CPU uses NVIDIA NVLink™-C2C interconnect technology for high-speed data sharing between CPUs and GPUs.
The Groq 3 LPX rack is designed to enhance inference performance for trillion-parameter AI models.
The Vera CPU rack is built using NVIDIA MGX™ modular reference architecture, allowing for scalable and energy-efficient configurations.
(UPDATED March 18, 2026 07:18 UTC)
In a significant announcement, Jensen Huang, CEO of NVIDIA, highlighted the upcoming Vera CPU platform, which he described as a generational leap in AI technology, featuring seven breakthrough chips and five racks designed to enhance performance and energy efficiency. The NVIDIA Vera CPU rack will integrate 256 liquid-cooled CPUs, supporting over 22,500 concurrent environments, while the Groq 3 LPX rack promises low-latency performance for AI models, both expected to be available in the second half of 2026. Additionally, the NVIDIA Vera Rubin platform, which includes a new rack with 72 Rubin GPUs and 36 Vera CPUs, aims to achieve up to ten times higher inference throughput per watt at a fraction of the cost per token.
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(UPDATED March 18, 2026 05:27 UTC)
In a significant announcement, leaders from various tech companies gathered to discuss groundbreaking advancements in space technology, with Baiju Bhatt of Aetherflux highlighting their pioneering work in power and compute, while Mina Mitry of Kepler Communications emphasized the importance of real-time connectivity in space. NVIDIA unveiled its impressive new technologies, including the Vera Rubin Module, which offers up to 25 times more AI compute for space-based inferencing, and the Groq 3 LPX rack, set to boost throughput for massive AI models significantly. These innovations are expected to be available in the second half of 2026, marking a pivotal moment in the development of infrastructure to support complex AI workflows and applications in space.
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(UPDATED March 17, 2026 23:09 UTC)
In a significant announcement, NVIDIA has unveiled its Vera Rubin platform, which includes seven new chips now in full production, designed to support the growing demands of AI infrastructure. Key figures in the AI industry, including Dario Amodei and Sam Altman, highlighted the urgent need for advanced infrastructure to accommodate increasingly complex workflows, with Jensen Huang declaring that this marks the beginning of the greatest infrastructure buildout in history. The new platform features innovations like the Vera CPU rack, which can support over 22,500 concurrent environments, and the Omniverse DSX Blueprint, enabling developers to create accurate digital twins for real-time simulations of AI factory operations.
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(UPDATED March 17, 2026 21:08 UTC)
In a significant development for space technology, leaders from several innovative companies, including Baiju Bhatt of Aetherflux and Mina Mitry of Kepler Communications, gathered to discuss advancements in autonomous operations and data management powered by NVIDIA's cutting-edge technology. Aetherflux is utilizing the NVIDIA Space-1 Vera Rubin Module for solar-powered missions, while Kepler Communications is integrating NVIDIA Jetson Orin to enhance data routing across its satellite network. Meanwhile, Disneyland Paris is set to debut Olaf, the animatronic character, on March 29, 2026, showcasing how deep reinforcement learning has enabled him to navigate real-world challenges.
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(UPDATED March 17, 2026 19:21 UTC)
NVIDIA has unveiled several groundbreaking technologies, including the Vera CPU rack, which integrates 256 liquid-cooled CPUs capable of supporting over 22,500 concurrent environments, and the Groq 3 LPX rack, designed to enhance AI model performance by 35 times for a trillion-parameter GPT model. Additionally, the BlueField-4 STX system promises to quadruple energy efficiency for data access in AI applications, while the Vera Rubin Module offers up to 25 times more AI compute for space-based tasks compared to previous models. These innovations are part of NVIDIA's strategy to meet the increasing demands of AI, utilizing advanced interconnect technology for optimal performance across various applications.
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(UPDATED March 17, 2026 17:24 UTC)
NVIDIA, led by CEO Jensen Huang, has launched the Vera CPU, designed for agentic AI, which delivers twice the efficiency and 50% faster performance than traditional CPUs. This innovative CPU will be available in the second half of 2026 and features a rack that integrates 256 liquid-cooled Vera CPUs, supporting over 22,500 concurrent environments, while also boasting 88 custom-designed cores and impressive memory bandwidth. Announced at NVIDIA's GTC 2026 event in San Jose, California, this launch aims to meet the growing demands of AI systems, with national laboratories like Los Alamos and Lawrence Berkeley planning to deploy the new technology.