"Production-scale AI with Ray"
Anyscale is a San Francisco AI infrastructure firm behind Ray, the open-source engine for large-scale model training; Nscale agreed to buy it for $1.65B.
Anyscale is a San Francisco-based company that develops and commercializes Ray, an open-source Python framework for distributed computing that originated at UC Berkeley's RISELab. Founded in 2019 by the RISELab team that built Ray, including Robert Nishihara, Ion Stoica, and Philipp Moritz, the company packages Ray into a managed cloud platform used by engineering teams to train, fine-tune, and serve large-scale AI and machine learning models across GPU clusters on AWS, Google Cloud, Microsoft Azure, Nebius, and CoreWeave. The Ray project itself has surpassed 500 million downloads and more than 41,000 GitHub stars, with over 1,200 external contributors, making it one of the most widely adopted open-source distributed compute engines in the AI industry.
The Anyscale platform provides tooling for distributed model training with elastic autoscaling, multimodal data curation and processing pipelines, batch embedding generation, and post-training workloads such as reinforcement learning and reinforcement learning from human feedback, using frameworks including vLLM, SkyRL, and veRL that run on top of Ray. Customers use the platform to move machine learning workloads that previously ran on a single machine onto multi-node, multi-GPU clusters without rewriting their code, and to orchestrate jobs across more than one cloud provider from a single control plane.
Anyscale raised a Series C round led by Addition and Intel Capital as part of a broader funding history that included early backing from Andreessen Horowitz, which led its $20.6 million Series A. In July 2026, British AI cloud infrastructure provider Nscale agreed to acquire Anyscale in a deal valued at approximately $1.65 billion, with the stated goal of building a full-stack AI cloud platform that spans chips, data centers, and the software layer for training and serving models. Under the agreement, Anyscale's roughly 200 employees are expected to join Nscale while the company continues to operate under its own brand and serve its existing customer base; Anyscale reported that quarterly revenue had grown 70 percent sequentially ahead of the deal.
Anyscale's headquarters are located at 600 Harrison Street in San Francisco, with a secondary engineering office in Bengaluru, India. The company's target customers span foundation model labs, enterprises running large-scale recommendation and ranking systems, and organizations building custom LLM applications that need to scale beyond single-node infrastructure. While Anyscale is a software and cloud-infrastructure company rather than a maker of physical robots, its Ray-based compute stack is increasingly cited as underlying infrastructure for training the large multimodal and reinforcement-learning models used in robotics foundation models and autonomous systems research, which is why the company is tracked as part of the broader physical-AI and robotics compute supply chain.
Primary type & automation activities this supplier delivers:
Fully managed platform for Ray, the open-source distributed compute framework, enabling teams to build, scale and deploy AI and Python applications without managing infrastructure.
Contact Anyscale
WEBSITE
https://www.anyscale.comPHONE
+1 415 267 9902HEADQUARTERS
United States
Company Facts
Founded
2019
Primary Role
Software/Algorithm
Company Size
employees 100-500
Primary Region
North America
Annual Sales
-
Funding Stage
Growth / Late-Stage VC
Funding Total
-
CASIA Ph.D. candidate Peiyan Li co-authored two IROS 2026 papers on VLA models for long robot tasks. We also cover his BridgeVLA and SpatialVAM work.
ByKelly Stone 6hs agoLG Electronics is actively participating in the 2026 First Global Challenge, an international youth robotics competition taking place at Songdo Convensia in Incheon. The event, which runs from Wednesday to Saturday, gathers youth teams from 185 countries to design and build robots aimed at addressing global challenges, particularly focusing on wildfire prevention and recovery due to climate change. This year's competition, themed “Igniting Innovation,” emphasizes the importance of robotics in tackling pressing issues like wildfires. LG's involvement includes sponsoring the event and showcasing its latest robotics technologies at an exhibition booth. The company also features its humanoid robot, LG CLOiD, allowing visitors to engage with the technology and learn about the innovative solutions being developed by young participants. As LG increases its investment in robotics as a key growth area, it aims to integrate physical AI into its strategy. The company recently launched LG Data Factory to enhance data management for robotics training. No further timeline was disclosed at the time of publication.
KoreaHerald.com Just now All NewsMecka has successfully raised $60 million in Series B funding, led by Sequoia Capital, to enhance its robotics data infrastructure and commercial deployments. The company specializes in capturing human demonstrations using proprietary multi-sensor hardware, converting this data into training signals for robotic systems, and collaborating with researchers on the EgoVerse study. This funding is significant as it positions Mecka to bridge the gap between available AI training data and the real-world operational needs of robots. With a reported run-rate revenue exceeding $100 million as of June 2026, Mecka anticipates reaching $300 million by year-end, indicating strong growth in the robotics sector. Looking ahead, Mecka plans to utilize the new capital to develop more data-capture hardware and expand its research and deployment capabilities. The company aims to provide tailored training data for various robotic applications, emphasizing the importance of human-like learning for future robotic systems.
AIInsider 6hs ago AI Funding & Investment Physical AI Startups AI Data deploymentTen papers made the IROS 2026 Best Paper and Best Student Paper shortlist, four from South Korea. What each one does and what it means for industry.
ByKelly Stone Oct 07, 2026Microsoft has announced the specifications and pricing for its new Surface Laptop Ultra and Surface RTX Spark Dev Box, powered by Nvidia's RTX Spark chip. The Surface Laptop Ultra starts at $2,600, while the Surface RTX Spark Dev Box is priced from $6,000, designed for on-device AI model execution with enhanced hardware capabilities. These new devices are significant as they cater specifically to developers, offering advanced features like superior cooling and a revamped Windows 11 with 'Execution Containers' for easier AI agent sandboxing. Microsoft CEO Satya Nadella emphasized the need for orchestration and memory management in AI applications, highlighting the platform's future direction. Looking ahead, Microsoft is positioning these PCs as versatile tools not only for developers but also for content creation and gaming. The company is incentivizing trade-ins of MacBook Pros, reflecting the competitive landscape in the developer community. No further timeline was disclosed at the time of publication.
TechCrunch 6hs ago AI Hardware TC Microsoft nvidiaMicrosoft has announced the launch of its Surface Laptop Ultra, priced at $2,599, which features an Nvidia AI chip capable of running large AI models locally. This device, available for preorder and shipping on October 16, includes a unique magnetic USB-C port and aims to enhance AI capabilities in consumer devices. The introduction of the Surface Laptop Ultra is significant as it positions Microsoft to compete more effectively in the growing AI market, allowing users to run AI workloads without incurring cloud costs. The laptop's specifications include up to 128 gigabytes of unified memory and a Blackwell RTX Spark GPU, which offers computing power comparable to Nvidia's DGX-1 data center server. Looking ahead, Microsoft is also set to integrate Meta's Muse AI agent into Windows, reflecting the increasing importance of personal AI agents. No further timeline was disclosed at the time of publication.
CNBCTechnology 12hs agoMecka AI has successfully raised $60 million in Series B funding, primarily led by Sequoia Capital, with additional support from Nvidia, Microsoft's M12, and Qualcomm. This funding will be utilized to enhance technology that enables robots to better understand and interact with the physical world. The significance of this funding lies in addressing the substantial data challenges within the robotics sector. CEO and cofounder Josh Gao emphasized the importance of capturing various physical interactions, including force and pressure, to advance robotics capabilities. The investment will also focus on scaling physical AI through improvements in sensors, infrastructure, and real-world data collection. Looking ahead, the robotics industry will need to monitor how Mecka AI utilizes this funding to innovate and expand its technology. No further timeline was disclosed at the time of publication.
BloombergTechnology 12hs agoTorch Systems has successfully raised $11.5 million in funding, which includes $9.5 million in equity from notable investors such as Khosla Ventures and Abstract, along with $2 million in venture debt from First Citizens Innovation Banking. This funding will enable the company to scale its manufacturing and deployment of TerraNode sensing devices across the U.S. The significance of this funding lies in Torch's innovative approach to outdoor asset intelligence, which aims to provide continuous monitoring of critical infrastructure that has often been overlooked. By integrating AI with its solar-powered TerraNode devices, Torch can detect various anomalies, including fires and equipment overheating, thereby enhancing safety and operational efficiency for utilities and municipalities. Looking ahead, Torch Systems plans to expand its deployment of TerraNodes into the thousands, further advancing its Torch Intelligence Platform. The company has already seen success with hundreds of devices deployed across six states, and it aims to address the pressing need for effective monitoring of physical infrastructure in an increasingly digital world. No further timeline was disclosed at the time of publication.
AIInsider 12hs ago AI Funding & Investment Business & Markets AI AI-driven platform capital markets fundingTikTok has unveiled a conversational AI Shopping Assistant and a new one-click checkout feature, enabling users to purchase products directly from brands within the app. This AI agent is designed to assist users in discovering and buying products by understanding context and remembering preferences during conversations, providing real-time guidance on various product details. The introduction of these features is significant as it aims to enhance TikTok's commerce strategy, which has already seen success with its in-house marketplace, TikTok Shop, launched in September 2023. eMarketer estimates that TikTok Shop generated approximately $15.8 billion in U.S. sales in 2025, accounting for about 18% of the U.S. social commerce market. Looking ahead, TikTok's integration of AI-powered shopping tools may reshape user engagement on the platform, potentially reducing reliance on external AI tools like ChatGPT. No further timeline was disclosed at the time of publication.
AIInsider 12hs ago AI Applications & agents Enterprise AI Shopping Assistant a business TikTokSimActive has launched a new feature in Correlator3D that allows users to publish Gaussian splat models directly to a connected Cesium account. Announced on October 6, 2026, this capability simplifies the distribution of photorealistic 3D results, enabling users to share models without the need for file exports or format conversions. This development is significant as it enhances the accessibility of photorealistic 3D data for clients and stakeholders outside the processing environment. By integrating with Cesium, users can seamlessly share their Gaussian splat models, which represent scenes with overlapping 3D points, color, and transparency, making them ideal for non-technical audiences. Looking ahead, the focus will be on how this new sharing capability impacts the workflow of mapping firms and government organizations that utilize Correlator3D. No further timeline was disclosed at the time of publication.
Dronelife.com 12hs ago Drone News Drone News Feeds Mapping News Software 3D Gaussian SplattingDKV Mobility is launching a new Tech Hub in Porto, Portugal, aimed at expanding its access to data and AI talent. This initiative is part of a broader strategy to enhance the development of data-driven digital products and services in areas such as refueling, charging, and fleet management. The establishment of the Tech Hub is significant as it positions DKV Mobility to better meet the evolving demands of the mobility market, which is increasingly leaning towards integrated digital solutions. The company plans to hire several hundred IT, Data, and AI engineers across Europe, with an initial goal of filling around 50 positions by the end of 2026 and expanding to approximately 150 by the end of 2027. Looking ahead, DKV Mobility's Tech Hub in Porto is expected to play a crucial role in accelerating the development and delivery of innovative solutions tailored to customer needs. No further timeline was disclosed at the time of publication.
LogisticsBusiness 12hs ago AI Computing and Scanners CV, Trucks, Vans and Trailers IT in Logistics TMS and Telematics CapgeminiSimScale’s Engineering AI Agent runs CFD, thermal, EMag and FEA from one prompt inside PTC’s Onshape, starting from CAD that isn’t simulation-ready.
ByRobotToday Reporter Sep 16, 2026IMTS 2026 opens in Chicago with 1,788 exhibitors and record H1 machine tool orders. What the USMTO data says about automation, and the booths to see.
ByRobotToday Reporter Sep 14, 202647 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.
ByThomas Siew Aug 31, 2026We classified 248 WRC 2026 exhibitors with the RobotToday taxonomy. Motion & Actuation leads at 75 companies, Humanoid at 72, and compute stays thin at 12. (Modified 2026-08-27)
ByThomas Siew Aug 26, 2026Saga Robotics CPO Damian Flynn on the Thorvald platform's UVC treatment system, its jump from UK strawberries to California wine grapes, and why he's “incredibly bullish” on applying automation and robotics into industries “most chaotic environment.”
ByLeona Tang Aug 14, 2026From 530+ AGVs at a Singapore port to robots on Apple's line, WAIC 2026 speakers shared concrete data on where embodied AI robots are actually working today.
ByThomas Siew Aug 03, 2026At WAIC 2026, world-model and VLA camps staked rival paths to generalist robots; Zhiyuan, SenseTime and NVIDIA predict a robot 'ChatGPT moment' in 2-5 years.
ByThomas Siew Aug 03, 2026AMR and AGV fleets are the biggest robot service market. Siegwart decodes the vendor manual: odometry, localization, cost maps.
ByRSF Research Jul 30, 2026Nscale, a British AI neocloud, is acquiring software startup Anyscale for $1.65 billion to expand its AI compute offerings. Anyscale specializes in scaling AI workloads across data centers and servers, having pivoted to support large language models and other AI tasks following the rise of GPT-3 in 2022. This acquisition aligns with Nscale's strategy to build vertically integrated solutions for compute needs, enhancing its capabilities in workload management and scaling. The acquisition is significant as it allows Nscale to deepen its involvement in the AI sector, particularly in managing and optimizing AI workloads. Anyscale's platform, built on the Ray framework, provides essential tools for developers, and its integration with Nscale's existing services will create a more robust infrastructure for AI applications. The deal also reflects the growing trend of consolidation in the AI industry as companies seek to capture a larger share of AI-related spending. Looking ahead, Nscale plans to leverage Anyscale's expertise while maintaining its branding and customer base. The startup's 200 employees will join Nscale, contributing to its ongoing projects and partnerships with major players like Microsoft and British Telecom. No further timeline was disclosed at the time of publication.
TechCrunch Jul 30, 2026 AI anyscale data center infrastructure nscale