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Gimlet Labs adds Cerebras to deliver ultrafast AI inference through Gimlet Cloud. Deployment combines Cerebras wafer-scale compute with Gimlet's inference Cloud to deliver up to 3,000 tokens per second. Gimlet Labs and Cerebras Systems (NASDAQ: CBRS) today announced a collaboration to deliver a new class of ultrafast AI inference at massive scale. The collaboration brings together Cerebras' wafer-scale compute with the Gimlet Cloud to deliver a purpose-built disaggregated inference cloud spanning datacenter infrastructure to developer APIs. Together, the companies plan to deliver speeds of up to 3,000 tokens per second for demanding agentic and real-time applications, with the first Cerebras-powered Gimlet Cloud datacenter expected to come online later this year. In AI, speed drives user experience and engagement and shapes what users can build. For real-time applications, from voice and video AI to agents and assistants, latency can be the difference between an interaction that feels seamless and one that feels slow. Real-time AI feels like an active collaborator that is immediate, fluid and responsive. When AI responds in real time, users do more with it, stay longer and run higher value workloads. As a result, fast tokens are more valuable tokens. Gimlet Cloud combines the Cerebras Wafer Scale Engine with GPUs into an integrated inference solution. It uses advanced inference disaggregation technology to orchestrate model execution so each phase of inference runs on the silicon best suited to it. Together, these capabilities deliver a new class of fast inference optimized for production-scale agentic and real-time workloads. Sep 28, 2026 Prev Next 1 of 43,702 "Inference speed matters. It determines how productive AI can be. Fast inference creates magical user experiences and opens new markets. By combining Gimlet's multi-silicon software with the Cerebras Wafer Scale Engine, we can run each phase of inference on the hardware best suited to it and plan to deliver up to 3,000 tokens per second at production scale," said Zain Asgar, co-founder and CEO of Gimlet Labs. "Combining the fastest tokens from Cerebras with the highest throughput GPUs delivers the best datacenter economics for everyone," said Sean Lie, co-founder and CTO at Cerebras. "Everyone wants more high value tokens. Cerebras delivers the fastest AI inference in the world, and GPUs deliver high throughput. By making Cerebras a native part of its inference cloud, Gimlet will bring our industry leading speed and intelligent AI to more developers at production scale. We're excited to build with Gimlet as a launch partner for CS-4, giving customers a direct path to our latest technology." The collaboration builds on joint customer engagements underway since last year and an integrated solution already serving tokens in private deployments. Gimlet Labs will expand the collaboration with Cerebras to integrate software, infrastructure design, APIs, developer tooling, optimization, validation and production operations to make ultrafast inference broadly available through Gimlet Cloud.

Cerebras to supply AI systems to cloud computing startup Gimlet Labs. 28 Sep 2026 09:06PM Add CNA as a trusted source to help Google better understand and surface our content in search results. SAN FRANCISCO, Sept 28: Cerebras Systems plans to supply AI chips and hardware with capacity to consume roughly 100 megawatts to startup Gimlet Labs to help run its cloud computing business, the companies said on Monday. The deal between Gimlet and Cerebras is part of rising interest from AI companies in procuring hardware that is capable of speedy AI calculations known as inference, the process in which a chatbot such as Anthropic's Claude generates a response to a user question. Performing inference operations speedily can help in areas such as cybersecurity, voice applications and financial analysis, Gimlet CEO Zain Asgar said in an interview with Reuters. For this hardware, Gimlet plans to target selling to companies and startups that are building their entire products around AI in some way, Asgar said. Gimlet plans to use the Cerebras hardware to run so-called frontier models - the cutting-edge AI models - that require enormous amounts of computing power to run speedily. Cerebras plans to supply its CS-4 systems, which it unveiled over the summer, over one to two years, its CEO, Andrew Feldman, said. Gimlet plans to make the CS-4 hardware available in its cloud in 2027, the company said. The deal is "further validation from Cerebras... of how easy it is to deploy, even in heterogeneous environments," Feldman said, referring to installing the hardware alongside chips and systems from other companies. Cerebras and Gimlet declined to disclose the financial terms of the deal. Gimlet will be responsible for maintaining and operating the systems once delivered by Cerebras. OpenAI and companies such as Nvidia have recognized the importance of the ability to perform speedy inference. Earlier this year, Cerebras signed a deal to supply OpenAI with chips. And last year, Nvidia signed a licensing deal with Groq for the company's chips and hardware.

2026 funding rounds across biotech, AI and robotics sectors. A roundup of major financing events in biotechnology, artificial intelligence and robotics reported in 2026. Compiled automatically from the sources listed below and checked against Hyperuranios' own capital and research data. Every figure here traces to a linked source. Factual errors reported to the contact address are corrected in the article and noted here. Artificial intelligence. Gimlet Labs announced a $300 million Series B round that lifted its post-money valuation to $3 billion, led by Andreessen Horowitz with participation from Sapphire Ventures, M12, Arm, Menlo Ventures and Factory; the capital will fund expansion of its heterogeneous inference cloud that matches AI workloads to the optimal silicon, a strategy the company says will improve throughput and power efficiency for agentic AI models [2]. San Mateo-based XDOF is in late-stage talks for a Series B valued at roughly $1.2 billion, reportedly led by 8VC, after closing a $70 million Series A three months earlier backed by Thrive Capital, Andreessen Horowitz, Lux Capital, Spark Capital and WndrCo; the startup builds data-pipeline and teleoperation tools that generate physical-world training data for general-purpose robots, a capability it says underpins its rapidly growing $50 million-annual revenue business [4]. An analysis of 2026 venture activity notes that headline-grabbing megarounds in artificial-intelligence firms are inflating overall funding statistics, with North-American AI companies alone accounting for the bulk of the $392 billion reported in the first half of the year, while non-AI startups face a markedly tighter capital environment [6]. Kuwait-based EdTech startup Dawraty raised a $2 million seed round led by Qatar Development Bank to scale its AI-powered bilingual medical-education platform, expand operations in Qatar and deepen commercial partnerships such as a reseller agreement with the Qatar Finance and Business Academy [8]. Italian AI company Cato secured €6 million in a seed round led by Keen Venture Partners, with participation from Vento, Heartfelt, Moonstone, BHeroes, Alecla7, Nova Venture and several angel investors, to further develop its automated public-tender platform, grow its team and extend its services internationally [9]. Robotics. Jaipur Robotics closed a €4.3 million seed round co-led by EquityPitcher Ventures and High-Tech Gründerfonds, with earlier backing from Fondazione Acire, to accelerate international expansion, deepen its computer-vision AI platform for waste-to-energy, cement and biomass plants, and broaden product depth; the company reports hazard-detection accuracy of 99 % and claims over €1 million annual value from improved waste mixing [1][3]. French-based Lupin Dental completed a €15 million Series A for its supervised robotic system that automates minimally invasive tooth preparation for aesthetic veneers; the round was led by Fynveur with a €10 million investment and included Bpifrance and existing shareholders, and the funds will be used to expand partnerships with dental institutions and pursue broader commercial adoption after receiving UKCA certification [5]. Robotics venture capital in 2026 has approached $23 billion, with humanoid-specific funding exceeding $8.6 billion, illustrated by large checks such as Figure AI's $2.34 billion at a $39 billion valuation, Neura Robotics' up-to-$1.4 billion round backed by Nvidia, Amazon, Bosch and Schaeffler, and Apptronik's Series A exceeding $935 million, underscoring a software-style valuation approach to hardware-intensive humanoid firms [7].