Product highlight - VM pools: large-scale sovereign federation. The Rhino Team September 24, 2026 Every AI initiative runs on GPUs, and GPUs have become the scarcest resource in enterprise computing. On-demand GPU capacity at the major cloud providers is often unavailable when a project needs it, and a training run that cannot claim a GPU does not start. In federated projects, progress depends on how many times a team completes the loop of train, inference, review, adjust, and train again, so every stalled start costs a turn of that loop. Its customers felt that shortage early, and Rhinofcp moved quickly. In June 2026 Rhinofcp released VM Pooling in the Rhino Federated Computing Platform (FCP), which lets a Rhino Client reserve compute capacity up front so high-demand workloads get guaranteed availability and utilization you can plan around. Since then Rhinofcp has expanded VM Pooling to give customers more control over where their compute runs and what it costs. * One Code Object, multiple pools: A Code Object can now target multiple pre-allocated VM pools instead of just a single one. A federated node can scale as a workload demands across pools with different compute specs, and sites can keep separate regional pools so one Code Object serves federated training and inference across regions while data stays sovereign. * Compute auditability: Run details now show which VM pools a run requested alongside the resources it actually claimed, so usage stays visible, both when you are debugging a slow start and when you are reading a compute bill. Why this matters for its customers. While compute scheduling reads like an infrastructure detail, it impacts how the network as a whole operates and manages the research calendar. * Critical initiatives keep moving: Reserved GPU capacity means a run starts when the team is ready, not when a cloud region frees up hardware. * Scale without moving data: Region-specific pools let compute grow wherever the data sits, so a collaboration spanning US and EU sites adds capacity without data leaving its jurisdiction. * Privacy built into every run: Every run executes on a VM that is destroyed when the run finishes, wiping all working data. An organization running many overlapping projects on shared pools never carries one project's data into another project's run. * Predictable service and cost across regions: Reserved pools give each region a known baseline cost and consistent performance, backed by real utilization data for forward planning. Those benefits play out for all of its customers across industries and use cases. In clinical development, an analysis that gates a go/no-go decision runs on the study's schedule. Model training on medical imaging across sites is inherently GPU-bound and bursty; project-level pools now absorb the bursts instead of rationing them. In payer and population health analytics, recurring cross-organization runs feed reporting cycles where one missed window delays entire cycles. Full detail for this release is in the Rhino FCP release notes. If you're sizing VM pools for a new collaboration and want a second opinion on the configuration, your Rhino representative can help.

Rhino Federated Computing named to the 2026 CB Insights' list of the 100 most innovative artificial intelligence startups. Recognized for achievements in infrastructure and compute. NEW YORK, May 05, 2026 (GLOBE NEWSWIRE) - CB Insights today named Rhino Federated Computing to its tenth annual AI 100, showcasing the 100 most promising private artificial intelligence companies in the world. "We're honored to be named to CB Insights' AI 100 and to be recognized among the most innovative AI companies shaping what comes next. This recognition..." "The 2026 AI 100 identifies emerging, high-momentum startups worth watching in an increasingly crowded market," "This year's cohort spans autonomous security operations, humanoid robots, and domain-specific AI for healthcare and financial services, and what unites them..." "We're honored to be named to CB Insights' AI 100 and to be recognized among the most innovative AI companies shaping what comes next. This recognition..." "The 2026 AI 100 identifies emerging, high-momentum startups worth watching in an increasingly crowded market," "This year's cohort spans autonomous security operations, humanoid robots, and domain-specific AI for healthcare and financial services, and what unites them..." "We're honored to be named to CB Insights' AI 100 and to be recognized among the most innovative AI companies shaping what comes next. This recognition..." "The 2026 AI 100 identifies emerging, high-momentum startups worth watching in an increasingly crowded market," said Adya Pandey, AI Analyst at CB Insights. "This year's cohort spans autonomous security operations, humanoid robots, and domain-specific AI for healthcare and financial services, and what unites them is proof of real traction outside a demo environment." "We're honored to be named to CB Insights' AI 100 and to be recognized among the most innovative AI companies shaping what comes next. This recognition reflects the growing urgency among enterprises to move beyond traditional, centralized AI approaches that can't meet the demands of privacy, regulation, and scale. Rhino was built to solve this challenge, helping organizations unlock the full value of their data through federated AI. We believe this approach will define the next era of enterprise AI, and we're excited to be leading the charge," said Dr. Ittai Dayan, CEO and Co-Founder of Rhino Federated Computing. The list primarily includes emerging early-stage startups driving innovation across AI. Our research team picked winning companies based on CB Insights datasets, including deal activity, industry partnerships, team strength, investor strength, employee headcount, and proprietary Commercial Maturity and Mosaic scores. We also dug into Analyst Briefings submitted directly to us by startups. Founded on the heels of its groundbreaking, multi-continental federated study, which demonstrated that collaborative AI can accurately predict COVID-19 outcomes, Rhino Federated Computing has established itself as the leader in privacy-native, federated AI. The company enables organizations in highly-regulated industries to unlock the full value of their data without moving it, while also protecting proprietary models and intellectual property. Rhino supports landmark federated initiatives advancing a new paradigm for secure, large-scale collaboration and real-world AI impact, including the federated infrastructure for Lilly TuneLab, the FAITE Consortium, and the Cancer AI Alliance (CAIA). Quick facts on the 2026 AI 100: * $10.9B in equity funding raised over time, including more than $2B in 2026 so far (as of 4/27/2026). * A fifth of the companies are from outside the United States, across 9 countries on 4 continents. * 190+ business relationships since 2024, including with industry leaders like Google, Nvidia, and Databricks. About CB Insights CB Insights is an AI super analyst for market intelligence. It delivers instant insights that help you bet on the right markets, track competitors, and source the right companies. Our AI super analyst is powerful because it is built on the validated database of companies and markets that CB Insights is famous for. To learn more, please visit www.cbinsights.com. About Rhino Federated Computing Rhino Federated Computing is the leader in privacy-native, federated AI and computing, enabling organizations in highly-regulated industries to unlock the full value of their data without moving it, while also protecting proprietary models and intellectual property. By bringing computation to the data rather than centralizing sensitive information, Rhino empowers enterprises across life sciences, healthcare, financial services, and other industries to collaborate securely, accelerate innovation, and deploy AI at scale. Built for real-world complexity, Rhino's Federated Computing Platform (Rhino FCP) transforms fragmented data ecosystems into continuously learning networks and powers federated agentic AI, federated data science, and federated model networks - fueling smarter decisions, faster discoveries, and measurable business impact while maintaining the highest standards of privacy, security, and compliance. To learn more, please visit www.rhinofcp.com or follow us at www.linkedin.com/company/rhinofc/.

Rhino Federated Computing raises $15M Series A to expand its enterprise-grade federated AI platform for healthcare, life sciences, and financial services....