AI News on August 13, 2026

LangChain Introduces Managed Deep Agents: A New Standard for Building and Deploying AI Agents
Product Launch

LangChain Introduces Managed Deep Agents: A New Standard for Building and Deploying AI Agents

LangChain has announced the launch of Managed Deep Agents, a specialized solution designed to streamline the development, execution, and deployment of Deep Agents. By providing a managed environment, this new offering simplifies the complex process of agent building. Key features integrated into the platform include a built-in runtime, streaming capabilities, secure sandboxes, evaluation tools (evals), persistent memory, and authentication (auth). This development aims to provide developers with a comprehensive infrastructure, allowing them to focus on agent logic rather than underlying operational complexities. Managed Deep Agents represent a significant shift toward more robust and scalable AI agent architectures within the LangChain ecosystem, offering a unified path from initial development to production-ready deployment.

LangChain
Google Unveils Pixel 11 at Made by Google 2026 Keynote Hosted by Trevor Noah
Industry News

Google Unveils Pixel 11 at Made by Google 2026 Keynote Hosted by Trevor Noah

The Made by Google 2026 event has officially commenced, serving as the high-profile stage for the introduction of the brand-new Pixel 11 hardware. This year’s keynote marks a notable shift in presentation leadership, with renowned comedian and host Trevor Noah taking the helm, succeeding Jimmy Fallon from the 2025 iteration. The event continues Google's recent tradition of producing celebrity-packed live broadcasts designed to blend product announcements with mainstream entertainment. Following a 2025 show that was characterized by some observers as a polarizing experience, the 2026 event aims to showcase the latest Pixel innovations through a star-studded lens. This analysis explores the strategic hosting change and the implications of Google's entertainment-forward approach to hardware launches.

The Verge
LangChain Announces General Availability of LangSmith BYOC on AWS for Enterprise Teams
Product Launch

LangChain Announces General Availability of LangSmith BYOC on AWS for Enterprise Teams

LangChain has officially announced the General Availability (GA) of LangSmith Bring Your Own Cloud (BYOC) on Amazon Web Services (AWS). This milestone provides enterprise-level teams with a managed solution for observability, evaluation, and deployment of AI applications, all hosted within the organization's own Virtual Private Cloud (VPC). By moving to General Availability, LangSmith BYOC on AWS offers a standardized path for enterprises to leverage LangChain's sophisticated development tools while maintaining strict control over their data and infrastructure. The service is specifically designed to meet the security and operational requirements of large-scale organizations that necessitate private cloud environments for their AI workflows.

LangChain
Zed Introduces Delta: A New Multiplayer Environment for Collaborative Coding with AI Agents and Real-Time Review
Product Launch

Zed Introduces Delta: A New Multiplayer Environment for Collaborative Coding with AI Agents and Real-Time Review

Zed has officially unveiled Delta, a specialized multiplayer environment designed to facilitate seamless collaboration between human developers and AI agents. Delta addresses the disconnect between code and conversation by integrating them into a single, unified workspace. At the core of this platform is DeltaDB, a technology that replicates both the worktree and the conversation in real-time for all participants. Delta is designed to work with existing Git repositories, ensuring that edits and discussions are captured between commits without disrupting traditional workflows. By moving away from traditional commit-based commenting, Delta allows for persistent, anchored feedback on any line of code, regardless of whether it was authored by a human or an agent. The project is currently entering its private beta phase, marking a significant milestone in Zed's long-term vision for collaborative software development.

Hacker News
Twitch Streamers Can Now Opt Out of Amazon Generative AI Training to Protect Creator Content
Industry News

Twitch Streamers Can Now Opt Out of Amazon Generative AI Training to Protect Creator Content

Twitch has introduced a new privacy feature allowing creators to opt out of having their content used to train Amazon’s generative AI models. This update enables streamers to protect a wide array of data, including live streams, Video on Demand (VOD) content, clips, and stream chat logs. Additionally, channel-specific text and images can be excluded from future training sets. The policy specifically targets Amazon AI models designed for text generation and synthesis. By providing this opt-out mechanism, Twitch addresses growing concerns regarding data sovereignty and creator rights in the age of large-scale AI development. The setting applies to future training cycles, marking a significant shift in how the Amazon-owned platform manages user-generated data for artificial intelligence purposes.

The Verge
Google Pixel 11 Series Analysis: Tensor G6 Chip and the New Four-Model Smartphone Strategy
Product Launch

Google Pixel 11 Series Analysis: Tensor G6 Chip and the New Four-Model Smartphone Strategy

Google has officially unveiled its latest smartphone lineup, the Pixel 11 series, introducing four distinct models: the Pixel 11, Pixel 11 Pro, Pixel 11 Pro XL, and the Pixel 11 Pro Fold. This year's release marks a strategic expansion of the Pixel family, offering more variety in the premium segment. While the new devices come with a slightly higher price tag than their predecessors, they feature significant internal upgrades. Most notably, the series is powered by the new Tensor G6 chip, which is engineered to provide faster performance. Additionally, Google has integrated improved camera systems across the lineup, reinforcing its focus on high-end mobile photography. This analysis explores the implications of the new hardware and Google's shifting market positioning.

The Verge
Introducing OlmoEarth Embeddings: Custom Export Features from OlmoEarth Studio for Downstream Analysis
Product Launch

Introducing OlmoEarth Embeddings: Custom Export Features from OlmoEarth Studio for Downstream Analysis

The Allen Institute for AI has announced the launch of OlmoEarth embeddings, a new capability within the OlmoEarth Studio platform designed to facilitate advanced downstream analysis. This update allows researchers and developers to export custom embeddings, providing a bridge between the OlmoEarth environment and external analytical workflows. By enabling the extraction of these high-dimensional vector representations, the platform enhances the utility of Earth-centric AI models, allowing for more granular data exploration and integration into specialized machine learning pipelines. This development underscores a commitment to open-source accessibility and the practical application of large-scale Earth observation models in scientific research.

Hugging Face Blog
DeepSeek V4 Pro 0813 GA Release: A Comprehensive Analysis of Pricing, 1M Context, and MoE Architecture
Product Launch

DeepSeek V4 Pro 0813 GA Release: A Comprehensive Analysis of Pricing, 1M Context, and MoE Architecture

DeepSeek has officially announced the General Availability (GA) release of DeepSeek V4 Pro 0813, a large-scale Mixture-of-Experts (MoE) model. Now accessible via OpenRouter, this model introduces a massive 1M token context window, catering to high-volume and complex data processing tasks. With a competitive pricing structure of $0.435 per 1M input tokens and $0.87 per 1M output tokens, it positions itself as a cost-effective solution for developers. The model maintains OpenAI compatibility, allowing for seamless integration through standard SDKs. This release highlights DeepSeek's commitment to scalable AI architecture, offering robust performance metrics including optimized throughput and latency, while supporting advanced features like tool calling and structured outputs.

Hacker News
Microsoft Research Unveils MindTopo: A New Frontier in Evaluating Spatial Reasoning Abilities of Vision-Language Models
Research Breakthrough

Microsoft Research Unveils MindTopo: A New Frontier in Evaluating Spatial Reasoning Abilities of Vision-Language Models

Microsoft Research has announced the development of MindTopo, a research framework designed to reveal and analyze the spatial reasoning capabilities of Vision-Language Models (VLMs). Authored by a prominent team including Yunfei Ge and Jianfeng Gao, this research addresses a critical gap in multimodal AI: the ability to interpret and reason about the physical and topological relationships between objects in a visual environment. While modern VLMs have demonstrated significant progress in image recognition and natural language processing, spatial awareness remains a complex challenge. MindTopo serves as a diagnostic tool to uncover how these models perceive and process spatial configurations. This analysis explores the significance of Microsoft’s latest contribution to the field of AI and the broader implications for developing models with a more sophisticated understanding of the physical world.

Microsoft Research
Lovable Secures $400 Million Series C Funding to Reach $13.3 Billion Valuation Milestone
Funding

Lovable Secures $400 Million Series C Funding to Reach $13.3 Billion Valuation Milestone

Lovable has officially announced the successful closing of a $400 million Series C funding round, a move that has propelled the company's valuation to an impressive $13.3 billion. This significant financial milestone follows a period of rapid growth and capital accumulation. In July 2025, the company raised $200 million in a Series A round at a $1.8 billion valuation, which was quickly followed by a $330 million Series B round in December 2025, valuing the company at $6.6 billion. The latest Series C round represents a doubling of the company's valuation in just eight months, highlighting a steep upward trajectory in its market worth. This analysis explores the timeline of Lovable's funding rounds and the implications of its new status as a multi-billion dollar entity in the tech landscape.

Tech in Asia
Qwen3.8-2.4T-A95B Released on Hugging Face Featuring Advanced XML Tool Calling and Reasoning Integration
Product Launch

Qwen3.8-2.4T-A95B Released on Hugging Face Featuring Advanced XML Tool Calling and Reasoning Integration

The Qwen team has introduced Qwen3.8-2.4T-A95B on Hugging Face, showcasing a sophisticated chat template designed for high-precision tool calling and integrated reasoning. The model utilizes a strict XML-based format for function execution, employing tags such as <tool_call>, <function>, and <parameter> to manage complex interactions. A key feature of this release is the support for explicit reasoning instructions that can be processed before function calls, alongside a robust system prompt structure. By adopting a ChatML-style syntax with specific message delimiters, the model ensures clear boundaries between system, user, and assistant roles. This technical update emphasizes structured output and multi-parameter handling, providing developers with a more controlled environment for building agentic AI applications and executing external functions.

Hacker News
DeepMind Unveils SL2T: A Breakthrough Sign-Language-to-Text Model for Deaf and Hard of Hearing Users
Product Launch

DeepMind Unveils SL2T: A Breakthrough Sign-Language-to-Text Model for Deaf and Hard of Hearing Users

DeepMind has announced the introduction of sign-language-to-text (SL2T), a breakthrough AI model designed to enhance accessibility for the Deaf and hard of hearing communities. This model serves as the foundation for new features that translate sign language into text, effectively putting advanced AI tools directly into the hands of users. By focusing on the specific needs of sign language users, DeepMind aims to bridge communication gaps through innovative technology. The announcement marks a significant step in the practical application of AI for social inclusion, highlighting a shift toward user-centric accessibility features powered by sophisticated machine learning models.

DeepMind Blog
LFM2.5-VL-3B: Advancing High-Performance Vision-Language Capabilities for Edge Computing Environments
Product Launch

LFM2.5-VL-3B: Advancing High-Performance Vision-Language Capabilities for Edge Computing Environments

LiquidAI has announced the release of LFM2.5-VL-3B, a specialized vision-language model designed to deliver superior speed and enhanced vision capabilities for edge devices. Featuring a 3-billion parameter architecture, this model represents a significant step forward in the Liquid Foundation Model (LFM) lineage, focusing on the optimization of multimodal tasks in resource-constrained environments. By prioritizing local processing, the LFM2.5-VL-3B addresses the growing demand for real-time, efficient AI that does not rely on cloud-based infrastructure. This launch, hosted on the Hugging Face platform, highlights a strategic move toward high-performance 'small' models that maintain sophisticated visual reasoning while maximizing operational velocity. The model's design emphasizes the 'better and faster' promise, aiming to redefine the standards for vision-centric AI at the edge.

Hugging Face Blog
NVIDIA CEO Jensen Huang Ranked Number One on Glassdoor’s 2026 List of Best CEOs with 99 Percent Approval
Industry News

NVIDIA CEO Jensen Huang Ranked Number One on Glassdoor’s 2026 List of Best CEOs with 99 Percent Approval

NVIDIA founder and CEO Jensen Huang has secured the top position on Glassdoor’s prestigious Best CEOs list for 2026. This recognition is uniquely significant as it is derived directly from the feedback of employees who work under his leadership. Huang achieved a near-perfect approval rating of 99%, reflecting a profound level of internal support and confidence. The ranking comes at a pivotal time characterized by the rapid advancement of AI and evolving workplace expectations. As the primary figure behind NVIDIA’s strategic direction, Huang’s top ranking highlights the internal culture and leadership efficacy at the company during a transformative period for the technology industry. This accolade underscores the importance of employee sentiment in defining successful corporate leadership in the modern era.

NVIDIA Newsroom
Google Research Identifies Recall as the Primary Bottleneck for Parametric Factuality in Generative AI
Research Breakthrough

Google Research Identifies Recall as the Primary Bottleneck for Parametric Factuality in Generative AI

A recent publication from Google Research, titled "Empty shelves or lost keys? Recall is the bottleneck for parametric factuality," explores the underlying causes of factual inaccuracies in generative AI models. The research investigates whether models fail to provide correct information because they never learned it (empty shelves) or because they cannot retrieve it from their internal parameters (lost keys). The study concludes that the primary bottleneck for parametric factuality is recall—the model's ability to access information already stored within its weights. This finding suggests that improving AI factuality requires a focus on internal retrieval mechanisms rather than simply increasing the volume of training data or model size, marking a significant shift in how researchers approach the challenge of model reliability.

Google Research Blog
Chinese AI Startup ModelBest Initiates Mandatory Pre-IPO Tutoring Phase
Industry News

Chinese AI Startup ModelBest Initiates Mandatory Pre-IPO Tutoring Phase

ModelBest, a prominent artificial intelligence startup based in mainland China, has officially commenced its pre-IPO process. According to recent reports, the company has entered the pre-IPO tutoring stage, which is a compulsory regulatory requirement in mainland China. This phase serves as a mandatory precursor that companies must complete before they are permitted to formally file for an Initial Public Offering (IPO). The move signals ModelBest's strategic transition toward the public markets and highlights the rigorous procedural framework governing tech listings in the region. By adhering to this mandatory stage, ModelBest is taking the necessary legal steps to prepare for its eventual formal filing, marking a significant milestone in its corporate development within the competitive AI landscape.

Tech in Asia
Industry News

Why Common Lisp Remains the Superior Target for AI-Driven Code Generation and Vibe Coding

In a provocative analysis of modern software development, the author explores why Common Lisp is a preferred target for AI-driven code generation, or "vibe coding," despite the dominance of mainstream languages like Python and Java. The core argument posits that language popularity is a poor proxy for utility and expressiveness. While AI models possess massive training sets for popular languages, the author argues that Lisp’s focus on high-level abstractions and architectural logic—rather than tedious implementation details and boilerplate—makes it a more effective tool for elite hackers. A critical component of this process is the human architect's deep expertise, which allows for the instantaneous verification of AI-generated code and the prevention of "hallucinated dead-ends." Ultimately, the choice of Lisp represents a shift toward high-utility, expert-led AI orchestration over mass-market maintenance.

Hacker News
Foxconn Reports 35% Surge in Second-Quarter Net Profit Driven by Robust Global AI Demand
Industry News

Foxconn Reports 35% Surge in Second-Quarter Net Profit Driven by Robust Global AI Demand

Foxconn has announced a significant 35% increase in its net profit for the second quarter of 2026, a growth trajectory fueled primarily by the intensifying global demand for artificial intelligence technologies. This financial milestone is particularly noteworthy as it follows a previous year's second quarter that the company had already characterized as a record-breaking period. The ability to achieve double-digit growth against such a high comparison base underscores the current momentum within the AI hardware sector. As a leading contract electronics manufacturer, Foxconn's performance serves as a key indicator of the broader industry's shift toward AI-centric infrastructure. The results highlight how the surge in AI requirements is reshaping the financial landscape for major manufacturing entities, allowing them to surpass previous historical peaks despite challenging year-over-year comparisons.

Tech in Asia
US AI Startup Cognition Seeks $1 Billion Funding Round at a Massive $40 Billion Valuation
Industry News

US AI Startup Cognition Seeks $1 Billion Funding Round at a Massive $40 Billion Valuation

Cognition, a prominent US-based AI startup founded in 2023, is reportedly eyeing a significant capital raise of $1 billion. This funding round is expected to value the company at approximately $40 billion, marking a meteoric rise for the firm within just three years of its inception. The startup's primary offering, an AI-powered coding agent named Devin, has already gained traction in highly regulated and complex sectors. According to the company, Devin is currently being utilized by major entities within the banking and automotive industries. This potential investment underscores the intensifying financial interest in autonomous AI agents capable of transforming software development workflows across global industries.

Tech in Asia
Industry News

OpenAI Research: How Enterprises Transition from AI Assistance to Agentic Execution with ChatGPT and Codex

OpenAI has released new research detailing the evolution of AI adoption within the enterprise sector. The study highlights a significant shift from using AI as a simple assistant to deploying "agentic AI" capable of autonomous execution. By utilizing tools like ChatGPT and Codex, organizations are integrating AI more deeply into their core operations. The research specifically identifies "frontier firms"—companies that are aggressively adopting these technologies—and examines how they are pulling ahead of the competition. This analysis provides a roadmap for understanding the current state of enterprise AI and the strategic moves being made by industry leaders to operationalize frontier models for tangible business outcomes.

OpenAI Blog
ZhuLinsen Unveils daily_stock_analysis: An Open-Source LLM-Driven Multi-Market Stock Intelligence System with Zero-Cost Automation
Open Source

ZhuLinsen Unveils daily_stock_analysis: An Open-Source LLM-Driven Multi-Market Stock Intelligence System with Zero-Cost Automation

Developer ZhuLinsen has introduced 'daily_stock_analysis,' a sophisticated open-source system designed to revolutionize financial market monitoring through Large Language Models (LLMs). The project integrates multi-source market data and real-time news feeds into a centralized decision-making dashboard. A standout feature of the system is its support for zero-cost scheduled execution, allowing users to automate their financial analysis workflows without incurring infrastructure expenses. By leveraging LLMs to process and interpret complex market signals, the tool provides automated notifications and actionable insights across multiple global markets. This release highlights the increasing accessibility of professional-grade AI financial tools for the developer community and individual investors, emphasizing efficiency, automation, and data-driven decision-making in the modern trading landscape.

GitHub Trending
New Diagram Design Repository Offers 29 Editorial-Grade HTML and SVG Templates Optimized for Claude Code
Open Source

New Diagram Design Repository Offers 29 Editorial-Grade HTML and SVG Templates Optimized for Claude Code

A new open-source project titled 'diagram-design' by author Cathryn Lavery has emerged on GitHub, providing a specialized library of 29 editorial-grade diagram types. Specifically developed for Claude Code, these templates prioritize high-quality visual aesthetics over standard automated solutions. By utilizing independent HTML and SVG formats, the project eliminates common design issues such as unwanted shadows and the 'low-quality' appearance often associated with Mermaid-style diagrams. The repository aims to bridge the gap between AI-generated technical content and professional design standards, offering visuals that are described as being acceptable to professional designers while remaining fully compatible with the Claude Code environment.

GitHub Trending
Semantica: Revolutionizing AI with Graph-Native Infrastructure for Contextual and Accountable Systems
Open Source

Semantica: Revolutionizing AI with Graph-Native Infrastructure for Contextual and Accountable Systems

Semantica has emerged as a significant new project on GitHub, offering a graph-native infrastructure specifically designed to enhance the context and accountability of AI systems. As the industry moves toward more complex and autonomous agents, the need for underlying architectures that can handle intricate relationships and provide traceable decision-making paths has become paramount. Semantica addresses these needs by placing graph structures at the core of its design. This approach aims to provide AI models with a more nuanced understanding of context while ensuring that the processes leading to specific outputs are transparent and accountable. The project represents a shift in AI development, focusing on the structural foundations required for reliable and explainable artificial intelligence.

GitHub Trending
Addy Osmani Releases Agent-Skills: Bringing Production-Grade Engineering to AI Coding Agents
Open Source

Addy Osmani Releases Agent-Skills: Bringing Production-Grade Engineering to AI Coding Agents

Addy Osmani has introduced 'agent-skills,' a specialized repository designed to equip AI coding agents with production-grade engineering capabilities. The project focuses on encapsulating essential professional elements such as complex workflows, quality gates, and industry best practices into modular skills that AI agents can execute. By bridging the gap between basic code generation and professional-level software engineering, agent-skills aims to enhance the reliability, maintainability, and overall quality of AI-driven development. This initiative reflects a growing industry trend toward moving autonomous AI agents into more disciplined and structured roles within the software development lifecycle, ensuring that AI-generated outputs meet the rigorous standards required for production environments.

GitHub Trending
Code-Graph-RAG: Leveraging AI and Knowledge Graphs for Advanced Monorepo Querying and Multi-Language Codebase Editing
Open Source

Code-Graph-RAG: Leveraging AI and Knowledge Graphs for Advanced Monorepo Querying and Multi-Language Codebase Editing

Code-Graph-RAG, a specialized tool developed by vitali87, has surfaced on GitHub Trending as a comprehensive Retrieval-Augmented Generation (RAG) solution tailored for Monorepos. The project integrates the capabilities of Artificial Intelligence with Knowledge Graphs to provide a robust framework for querying, understanding, and editing complex, multi-language codebases. By addressing the structural complexities inherent in large-scale repositories, Code-Graph-RAG aims to streamline how developers interact with extensive code collections. The system focuses on the synergy between graph-based data structures and AI to enhance the precision of code retrieval and manipulation. As an open-source contribution, it represents a targeted approach to managing the density of Monorepo architectures through advanced data relationship mapping and language model integration, facilitating a deeper comprehension of cross-language dependencies and logic.

GitHub Trending
Anthropic Releases Agent Skills Repository: A New Standard for Claude AI Agent Capabilities
Open Source

Anthropic Releases Agent Skills Repository: A New Standard for Claude AI Agent Capabilities

Anthropic has officially launched the 'Agent Skills' public code repository on GitHub. This repository serves as a centralized resource containing implementations of various skills designed specifically for Claude AI agents. The release emphasizes the importance of standardized agent capabilities, directing developers and researchers to the official Agent Skills website for comprehensive information regarding industry standards. By providing these foundational code implementations, Anthropic aims to support the development and integration of functional skills within AI agent ecosystems, fostering a more structured approach to how AI models interact with and perform tasks in external environments.

GitHub Trending
Exploring agency-agents: A Comprehensive Suite of Specialized AI Experts for Frontend Development and Community Management
Open Source

Exploring agency-agents: A Comprehensive Suite of Specialized AI Experts for Frontend Development and Community Management

The "agency-agents" project, recently surfacing on GitHub Trending, introduces a modular framework of specialized AI agents designed to function as a complete digital agency. Developed by msitarzewski, this repository offers a diverse lineup of AI personas, ranging from frontend development specialists to Reddit community experts and creative editors. Each agent is crafted with a distinct personality and specific workflows to ensure the production of mature deliverables. By providing "AI experts on standby," the project aims to streamline complex tasks through specialized automation, allowing users to leverage niche expertise in areas like coding, social media engagement, and reality-based proofreading. This initiative reflects a growing trend in the AI industry toward agentic workflows where specialized models handle distinct phases of a project lifecycle.

GitHub Trending
Product Launch

Unsloth Desktop Officially Debuts on Product Hunt: A New Era for AI Development Tools

On August 12, 2026, developer Zac Zuo announced the official launch of Unsloth Desktop on the popular product discovery platform, Product Hunt. This release marks a significant transition for the Unsloth project, moving from its established roots into a dedicated desktop environment. While the initial announcement focuses on the product's availability, the move signifies a broader trend in the AI industry toward making complex development tools more accessible through graphical user interfaces. The launch has garnered attention within the developer community, highlighting a shift in how AI optimization tools are delivered and utilized by creators. This analysis explores the context of the launch, the significance of the desktop platform, and the potential implications for the future of localized AI development workflows.

Product Hunt
Product Launch

Cohesor Launches on Product Hunt: New Product Debut by Funmi Lesi

Cohesor, a new digital product developed by Funmi Lesi, officially debuted on the Product Hunt platform on August 12, 2026. This launch marks the formal introduction of the tool to the global community of early adopters, developers, and tech enthusiasts. While the initial announcement focuses on the product's availability and its creator's identity, the entry signifies a new addition to the competitive landscape of software and services featured on the platform. As a Product Hunt release, Cohesor enters a space dedicated to product discovery and community-driven feedback, representing the latest effort by Funmi Lesi to engage with the tech ecosystem.

Product Hunt
NVIDIA Partners with Global Financial Giants to Mobilize $500 Billion for AI Infrastructure Development
Industry News

NVIDIA Partners with Global Financial Giants to Mobilize $500 Billion for AI Infrastructure Development

NVIDIA has announced a landmark collaboration with leading financial institutions, including BlackRock, Goldman Sachs, and KKR, to transform AI compute into a legitimate investable asset class. This initiative aims to establish independent financing platforms capable of mobilizing over $500 billion in third-party capital. The move signifies a major shift in how AI infrastructure is funded, moving beyond traditional corporate balance sheets to institutional investment. This strategic milestone, authored by Jensen Huang, highlights the growing importance of "AI Factories" as the backbone of the modern digital economy. By partnering with firms like Apollo, Blackstone, and Brookfield, NVIDIA is facilitating a massive scale-up of AI infrastructure, ensuring the long-term growth and accessibility of high-performance computing resources for the global industry.

NVIDIA Newsroom