Nvidia Partners With Thinking Machines Lab for Frontier AI Systems

Nvidia and Thinking Machines Lab have formed a multiyear partnership to deploy next-generation Vera Rubin systems for frontier AI training. The collaboration aims to expand access to customizable AI models and large-scale compute infrastructure.

By Samantha Reed Edited by Maria Konash Published:
Nvidia Partners With Thinking Machines Lab for Frontier AI Systems
Nvidia partners with Thinking Machines Lab to deploy Vera Rubin AI systems for frontier model training and customizable AI platforms. Photo: Nvidia

Nvidia and Thinking Machines Lab have announced a multiyear strategic partnership focused on deploying large-scale AI infrastructure to support next-generation model development. The collaboration will deploy at least one gigawatt of Nvidia’s upcoming Vera Rubin systems to power Thinking Machines’ frontier AI training and model platforms.

The deployment is expected to begin early next year and will provide the computing capacity needed to train advanced AI models at scale. The initiative also includes joint efforts to design optimized training and inference systems built specifically for Nvidia architectures.

Through the partnership, the companies aim to broaden access to high-performance AI infrastructure and models for enterprises, research institutions, and the scientific community. The companies said the project is intended to support the development of customizable AI systems that organizations can adapt to their specific needs.

Nvidia has also made a significant financial investment in Thinking Machines Lab as part of the agreement, though financial terms were not disclosed.

Scaling Compute for Frontier AI Research

The collaboration reflects growing demand for massive computing resources as organizations train increasingly sophisticated AI models. Frontier models require large clusters of specialized hardware capable of handling enormous datasets and complex training workflows.

Nvidia’s Vera Rubin architecture represents the company’s next generation of AI computing platforms, designed to deliver significantly greater performance and efficiency for large-scale AI workloads. The systems are expected to power both training and inference tasks for advanced machine learning models.

“AI is the most powerful knowledge discovery instrument in human history,” said Nvidia founder and chief executive Jensen Huang. “Thinking Machines has brought together a world-class team to advance the frontier of AI. We are thrilled to partner with Thinking Machines to realize their exciting vision for the future of AI.”

Thinking Machines Lab cofounder and chief executive Mira Murati said the partnership will accelerate the company’s efforts to develop more flexible AI systems.

“Nvidia’s technology is the foundation on which the entire field is built,” Murati said. “This partnership accelerates our capacity to build AI that people can shape and make their own, as it shapes human potential in turn.”

The companies said the collaboration is designed to advance research and infrastructure needed to develop AI systems that are more understandable, customizable, and collaborative. By combining high-performance computing with new AI model architectures, the partnership aims to expand access to advanced AI capabilities across scientific research and enterprise applications.

The partnership also comes as the startup navigates internal changes. Thinking Machines Lab recently lost two founding members to Meta, underscoring ongoing competition for top AI talent even as the company continues expanding its infrastructure and research ambitions.

AI & Machine Learning, Cloud & Infrastructure, News, Startups & Investment
Related Articles

Google Expands Gemini Across Docs, Sheets, Slides, and Drive

Google is expanding Gemini capabilities across Docs, Sheets, Slides, and Drive to help users draft documents, build spreadsheets, and analyze files using AI. The updates integrate data from personal files, emails, and the web.

By Samantha Reed Edited by Maria Konash Published: Updated:

Soon after launching Nano Banana 2, Google has introduced a set of new Gemini features across its Workspace applications, including Docs, Sheets, Slides, and Drive, aimed at helping users start projects faster and automate common productivity tasks. The updates allow Gemini to pull contextual information from users’ files, emails, and web sources to generate content and insights directly within documents and spreadsheets.

The new capabilities are rolling out in beta to Google AI Ultra and Pro subscribers. Google said the goal is to transform Workspace applications from passive productivity tools into collaborative AI-assisted environments that help users move from idea to finished output more quickly.

In Google Docs, Gemini now supports generating full drafts from prompts that reference existing files and emails. Users can request documents such as newsletters, reports, or plans and have the system automatically pull relevant information from their stored materials. Gemini can also refine text, adjust tone, and match the writing style or formatting of existing documents.

For example, users can ask the AI to populate a template with travel information extracted from confirmation emails or convert meeting notes into a structured plan.

AI-Assisted Spreadsheet Creation and Analysis

Gemini in Sheets introduces new capabilities for building and organizing spreadsheets through natural language prompts. Users can request entire project trackers, financial tools, or planning dashboards without manually creating tables or formulas.

The system can also fill missing data fields using the new “Fill with Gemini” feature. By referencing information from Google Search or internal files, Gemini can populate spreadsheet columns with relevant data such as deadlines, prices, or descriptions.

Google said the feature is particularly useful for complex tasks such as budgeting, research tracking, and project management where information must be gathered from multiple sources.

AI-Powered Presentations and File Insights

Gemini in Slides now supports generating fully editable slides from prompts or sketches. The system automatically applies design layouts that match the theme of an existing presentation while integrating context from related files and emails.

Users can also request revisions to slides, such as simplifying the layout or adjusting color themes. Google said it is also developing a feature that will generate entire presentations from a single prompt, though that capability is still in development.

In Google Drive, Gemini introduces a new “Ask Gemini” feature designed to analyze files stored across the platform. When users perform searches in Drive, the system can generate AI summaries highlighting relevant information from multiple documents.

Users can also ask broader questions about their files, emails, and calendars, enabling Gemini to synthesize information across datasets. For instance, users could ask the system to review tax documents and suggest questions for a financial advisor.

The new Workspace features are initially available in English for Docs, Sheets, and Slides globally, while the updated Drive functionality is currently limited to users in the United States. Google said the features will continue evolving as the company refines the experience and expands language support.

AI & Machine Learning, Consumer Tech, News
Related Articles

Nvidia Plans Open-Source AI Agent Platform NemoClaw

Nvidia is reportedly developing NemoClaw, an open-source platform designed to help companies deploy AI agents for enterprise tasks. The system would include security tools and partnerships with major software providers.

By Daniel Mercer Edited by Maria Konash Published:
Nvidia Plans Open-Source AI Agent Platform NemoClaw
Nvidia is developing NemoClaw, an open-source AI agent platform designed for enterprise partners. Photo: UMA media / Pexels

Nvidia is planning to launch an open-source platform for AI agents called NemoClaw, according to a report by Wired citing people familiar with the project. The platform is designed to allow companies to deploy AI agents capable of performing complex tasks across enterprise software environments.

The chipmaker has reportedly begun pitching the technology to major enterprise software vendors including Salesforce, Cisco, Google, Adobe, and CrowdStrike in an effort to establish partnerships around the platform. It remains unclear whether any formal agreements have been finalized.

According to the report, NemoClaw will allow companies to deploy AI agents that can complete tasks on behalf of employees. These agents would be able to reason through multi-step workflows and execute actions across applications, reflecting a broader shift toward agent-based AI systems in the enterprise software market.

Because the platform is expected to be open source, potential partners may gain free access to the system while contributing development resources to the project. Sources cited by Wired said early participants could receive early access in exchange for supporting the ecosystem.

Open Ecosystem and Security Features

Nvidia’s proposed platform is expected to include built-in security and privacy features aimed at addressing concerns around autonomous AI agents operating inside enterprise systems. Companies would be able to use the platform regardless of whether their products run on Nvidia hardware, potentially broadening adoption across the software ecosystem.

The initiative reflects Nvidia’s increasing focus on AI agents as organizations move beyond large language models toward systems capable of planning, reasoning, and executing tasks independently. In recent months, the company has introduced several foundational AI models designed for agent applications, including the Nemotron and Cosmos models.

Nvidia has also expanded its NeMo software platform, which helps companies manage the lifecycle of AI agents, including training, deployment, monitoring, and optimization. NemoClaw would likely extend these capabilities by providing a shared framework for building and coordinating AI agents across enterprise tools.

Growing Interest in Agent-Based AI Tools

Interest in agent-based AI has grown rapidly this year, partly driven by the rise of open-source projects that allow AI systems to operate locally on users’ machines and execute sequential tasks. One such project, OpenClaw, gained widespread attention earlier this year before being acquired by OpenAI along with its creator.

Nvidia Chief Executive Jensen Huang recently described OpenClaw as “the most important software release probably ever,” highlighting the industry’s growing focus on autonomous AI tools.

At the same time, security researchers have raised concerns about the risks associated with early AI agent frameworks, particularly when deployed in corporate environments with access to sensitive data and systems. Nvidia’s emphasis on built-in security controls suggests the company is aiming to address those risks as it targets enterprise adoption.

The reported development of NemoClaw comes as Nvidia prepares for its annual developer conference in San Jose next week, where the company is expected to unveil new software initiatives and roadmaps alongside updates to its AI hardware platforms.

AI & Machine Learning, Enterprise Tech, News
Related Articles

OpenAI Acquires Promptfoo to Strengthen AI Security Tools

OpenAI is acquiring AI security platform Promptfoo to enhance testing, safety, and governance tools for enterprise AI systems. The technology will be integrated into OpenAI’s Frontier platform for AI coworkers.

By Maria Konash Published:
OpenAI Acquires Promptfoo to Strengthen AI Security Tools
OpenAI acquires Promptfoo to add AI security testing and evaluation tools to its Frontier platform for enterprise AI agents. Photo: fabio / Unsplash

OpenAI has announced plans to acquire Promptfoo, an AI security platform focused on identifying vulnerabilities in large language model applications during development. The company said Promptfoo’s technology will be integrated into OpenAI Frontier, its platform designed for building and operating AI coworkers in enterprise environments.

Promptfoo provides tools that help organizations evaluate, test, and secure AI systems before deployment. These capabilities are increasingly important as enterprises begin deploying AI agents into operational workflows that interact with sensitive data, internal systems, and external applications.

The acquisition aims to strengthen OpenAI’s ability to support enterprise customers that require structured approaches to evaluating agent behavior, identifying risks, and maintaining oversight over AI systems.

“Promptfoo brings deep engineering expertise in evaluating, securing, and testing AI systems at enterprise scale,” said Srinivas Narayanan, OpenAI’s chief technology officer for B2B applications. “Their work helps businesses deploy secure and reliable AI applications, and we’re excited to bring these capabilities directly into Frontier.”

Promptfoo was founded by Ian Webster and Michael D’Angelo and has developed a widely used open-source command-line interface and library for testing and red-teaming large language model applications. According to OpenAI, the platform is already used by more than 25 percent of Fortune 500 companies.

Security and Governance for AI Agents

OpenAI said Promptfoo’s technology will enable several new capabilities within the Frontier platform. Automated security testing and red-teaming tools will help enterprises identify risks such as prompt injection attacks, jailbreak attempts, data leakage, and misuse of connected tools.

The integration will also embed security testing directly into development workflows, allowing teams to identify vulnerabilities earlier in the development process. OpenAI said this approach will help organizations deploy AI agents with stronger safety and reliability controls.

Another key component involves oversight and compliance features. Frontier will include integrated reporting and traceability tools designed to help enterprises document testing procedures, monitor system changes, and meet regulatory governance requirements.

Promptfoo’s founders said the move will allow the platform to expand its capabilities as AI systems become more integrated with real-world data and business operations.

“We started Promptfoo because developers needed a practical way to secure AI systems,” said Ian Webster, co-founder and chief executive of Promptfoo. “As AI agents become more connected to real data and systems, securing and validating them is more challenging and important than ever.”

OpenAI said it plans to continue supporting Promptfoo’s open-source tools while expanding enterprise security capabilities through the Frontier platform. The acquisition reflects growing demand among organizations for robust testing and governance tools as AI agents move from experimentation into production environments.

AI & Machine Learning, Cybersecurity & Privacy, News, Startups & Investment
Related Articles

Anthropic Sues Pentagon Over Supply Chain Risk Designation

Anthropic has filed a lawsuit against the U.S. Department of Defense and other federal agencies over its designation as a supply chain risk. The company argues the move is unlawful and threatens its business relationships.

By Maria Konash Published:
Anthropic Sues Pentagon Over Supply Chain Risk Designation
Anthropic sues the Pentagon over its supply-chain risk designation. Photo: Tingey Injury Law Firm / Unsplash

Anthropic has filed a lawsuit against the U.S. Department of Defense and other federal agencies after the Trump administration labeled the artificial intelligence company a “supply chain risk.” The designation followed a breakdown in negotiations between the Pentagon and the developer of the Claude AI models over restrictions on military use of its technology.

In its legal filing, Anthropic described the government’s actions as “unprecedented and unlawful,” arguing that the designation and the directive requiring federal agencies to stop using its technology lack legal authority and proper due process.

“Seeking judicial review does not change our longstanding commitment to harnessing AI to protect our national security, but this is a necessary step to protect our business, our customers, and our partners,” an Anthropic spokesperson said in a statement.

The Pentagon declined to comment on the litigation. A White House spokesperson defended the administration’s position, stating that the government would not allow technology companies to dictate how military tools are used.

Dispute Over Military Use of AI

The conflict stems from negotiations to update the Pentagon’s contract with Anthropic. During the talks, the company asked the Defense Department to formally commit to two restrictions: that its AI systems would not be used for mass domestic surveillance of U.S. citizens and would not power fully autonomous weapons systems.

Defense officials rejected the conditions, insisting that the military must retain the ability to use AI for “all lawful purposes,” particularly in national security emergencies. The Pentagon has previously stated it does not intend to use AI for domestic surveillance or autonomous weapons but argued it could not accept restrictions imposed by a private company.

Following the breakdown in talks, the Trump administration ordered federal agencies and military contractors on February 27 to halt business with Anthropic. Defense Secretary Pete Hegseth also designated the company a supply chain risk, a classification typically applied to companies linked to foreign adversaries.

The designation limits Anthropic’s ability to work with companies that maintain contracts with the Department of Defense.

Claims of Constitutional Violations

Anthropic’s lawsuit alleges the government’s actions constitute retaliation against the company’s First Amendment protected speech. The filing also claims the administration exceeded its authority by directing federal agencies to cease using Anthropic’s technology without proper legal justification.

The company is seeking injunctive relief to prevent enforcement of the directive. According to the filing, the government’s actions place “hundreds of millions of dollars” in contracts at risk and could damage Anthropic’s reputation and commercial relationships.

Chief Executive Dario Amodei said the official designation letter suggests that contractors may still use Claude outside work directly tied to Pentagon contracts. The company has previously said it would challenge the classification in court, arguing that it sets a dangerous precedent for U.S. technology firms negotiating with government agencies.

Industry Impact and Public Reaction

The dispute has quickly escalated into one of the most significant confrontations between the U.S. government and an AI company over the limits of military technology deployment. Shortly after the administration’s directive, OpenAI reached a separate agreement with the Pentagon to deploy its models within defense infrastructure.

At the same time, Anthropic’s public profile has risen amid the conflict. The company’s Claude application recently overtook ChatGPT in Apple’s U.S. App Store rankings following the controversy, and Anthropic said more than one million new users are signing up for the platform each day as interest in its AI tools continues to grow.

AI & Machine Learning, News, Regulation & Policy
Related Articles

Microsoft Adds Anthropic AI to Copilot With New Cowork Tool

Microsoft is integrating Anthropic’s Claude models into Microsoft 365 Copilot and introducing a new Copilot Cowork tool for autonomous workflows. The move expands Microsoft’s AI partnerships as demand grows for agent-based productivity tools.

By Samantha Reed Edited by Maria Konash Published:
Microsoft Adds Anthropic AI to Copilot With New Cowork Tool
Microsoft integrates Anthropic’s Claude into Copilot and launches Copilot Cowork. Photo: Matthew Manuel / Unsplash

Microsoft is adding artificial intelligence models from Anthropic to its Microsoft 365 Copilot platform and introducing a new productivity feature called Copilot Cowork. The announcement reflects growing demand for AI agents capable of handling complex tasks across enterprise software environments.

Copilot Cowork is based on Anthropic’s Claude Cowork technology, which recently attracted attention in Silicon Valley for its ability to automate multi-step workflows. The tool can generate applications, build spreadsheets, and organize large datasets with limited human intervention.

Microsoft said Copilot Cowork will initially launch in testing and become available to early access users later this month. Pricing details were not disclosed, though the company said some functionality will be included in the existing Microsoft 365 Copilot subscription priced at $30 per user per month, with additional usage available separately.

The company is also making Anthropic’s Claude Sonnet models available within Microsoft 365 Copilot. Until now, the service relied primarily on models developed by OpenAI.

Enterprise Strategy and AI Partnerships

Microsoft is positioning the new tool as a secure enterprise-grade alternative for companies exploring AI agents but concerned about data protection and governance.

“We work only in a cloud environment and we work only on behalf of the user. So you know exactly what information it has access to,” said Jared Spataro, who leads Microsoft’s AI-at-Work initiatives.

According to Spataro, many organizations remain cautious about AI systems that operate locally without centralized oversight. Microsoft’s cloud-based approach aims to address those concerns by providing enterprise security controls and compliance tools.

The launch follows increased investor attention around agent-based AI products. Anthropic’s recent releases for Claude sparked speculation that AI agents could disrupt traditional software companies by automating tasks currently handled by specialized business applications. Those concerns contributed to volatility in software stocks earlier this year, including a decline of nearly 9 percent in Microsoft’s share price in February.

Shifting Dynamics in the AI Ecosystem

By integrating Anthropic’s models into Copilot, Microsoft is expanding its AI ecosystem beyond its long-standing collaboration with OpenAI. Analysts have increasingly scrutinized Microsoft’s reliance on OpenAI technology, which accounts for a substantial portion of its cloud-related AI backlog.

The new partnership allows Microsoft to diversify its model providers while continuing to expand the capabilities of Copilot as enterprises adopt generative AI tools across workplace applications.

The move also highlights intensifying competition among technology companies to provide AI-powered agents that can automate knowledge work, manage business workflows, and interact with enterprise software systems with minimal human supervision.

AI & Machine Learning, Enterprise Tech, News
Related Articles