{"id":1006274,"date":"2026-09-28T09:22:10","date_gmt":"2026-09-28T13:22:10","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/gimlet-labs-adds-cerebras-to-deliver-ultrafast-ai-inference-through-gimlet-cloud\/"},"modified":"2026-09-28T09:22:10","modified_gmt":"2026-09-28T13:22:10","slug":"gimlet-labs-adds-cerebras-to-deliver-ultrafast-ai-inference-through-gimlet-cloud","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/gimlet-labs-adds-cerebras-to-deliver-ultrafast-ai-inference-through-gimlet-cloud\/","title":{"rendered":"Gimlet Labs Adds Cerebras to Deliver Ultrafast AI Inference through Gimlet Cloud"},"content":{"rendered":"

\nDeployment Combines Cerebras Wafer-Scale Compute with Gimlet\u2019s Inference Cloud to Deliver Up to 3,000 Tokens per Second
\n<\/h2>\n
\n

SAN FRANCISCO and SUNNYVALE, Calif., Sept. 28, 2026 (GLOBE NEWSWIRE) — Gimlet Labs<\/u><\/a> and\u00a0Cerebras Systems<\/u><\/a> (NASDAQ: CBRS) today announced a collaboration to deliver a new class of ultrafast AI inference at massive scale. The collaboration brings together Cerebras\u2019 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.<\/p>\n

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.<\/p>\n

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.<\/p>\n

\u201cInference speed matters. It determines how productive AI can be. Fast inference creates magical user experiences and opens new markets. By combining Gimlet\u2019s 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,\u201d said Zain Asgar, co-founder and CEO of Gimlet Labs.<\/p>\n

\u201cCombining the fastest tokens from Cerebras with the highest throughput GPUs delivers the best datacenter economics for everyone,\u201d said Sean Lie, co-founder and CTO at Cerebras. \u201cEveryone 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\u2019re excited to build with Gimlet as a launch partner for CS-4, giving customers a direct path to our latest technology.\u201d<\/p>\n

The collaboration builds on joint customer engagements underway since last year and an integrated solution already serving tokens in private deployments.<\/p>\n

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.<\/p>\n

To read Gimlet Labs\u2019 blog on today\u2019s news, go to: https:\/\/gimletlabs.ai\/blog\/cerebras-announcement.<\/a><\/p>\n

\n About Gimlet Labs<\/strong>
\n
Gimlet Labs’ mission is to drive breakthrough improvements in AI performance that result in massive increases of compute available for AI workloads. Gimlet Labs’ inference cloud is derived from its foundational research across the stack in order to enable the next generation of performant, scalable AI infrastructure. Its research combines theory and practice to push the boundaries of AI efficiency via techniques such as automated GPU kernel generation, workload orchestration and heterogeneous execution across diverse hardware. Gimlet is backed by Andreessen Horowitz and Menlo Ventures and headquartered in San Francisco. For more information, simply visit: gimletlabs.ai<\/a>.<\/p>\n

\n About Cerebras Systems<\/strong>
\n
Cerebras Systems (NASDAQ: CBRS) builds the world\u2019s fastest AI infrastructure. The Cerebras team of pioneering computer architects, computer scientists, AI researchers, and engineers of all types came together to make AI blisteringly fast through innovation and invention. Cerebras believes that when AI is fast, it will change the world. Leading global corporations, research institutes, and governments choose Cerebras to run their AI workloads. Cerebras solutions are available on premises and in the cloud. Visit\u00a0cerebras.ai<\/u><\/a> for more.<\/p>\n

\n Cerebras Disclosure Information<\/strong>
\n
Cerebras uses its blog (cerebras.ai\/blog<\/u><\/a>), investor relations page (investors.cerebras.ai<\/u><\/a>), its X account (@cerebras)<\/u><\/a>, and its LinkedIn page (linkedin.com\/company\/cerebras-systems\/<\/u><\/a>) to disclose material nonpublic information and for complying with its disclosure obligations under Regulation FD. Accordingly, investors should monitor these channels, in addition to following Cerebras press releases, Securities and Exchange Commission (SEC) filings, public conference calls and public webcasts.<\/p>\n

\n Forward-Looking Statements<\/strong>
\n
This press release contains “forward-looking statements” within the meaning of applicable securities laws. All statements other than statements of historical fact could be deemed to be forward-looking, including, but not limited to, statements about: the collaboration with Gimlet Labs; plans to deliver up to 3,000 tokens per second; timing of when the datacenter will come online; Gimlet bringing industry leading speed and intelligent AI to more developers at production scale; plans to expand the collaboration to integrate software, infrastructure design, APIs, developer tooling, optimization, validation and production operations to make ultrafast inference broadly available through Gimlet Cloud; and any assumptions relating to the foregoing. The words “plans,” “can,” “may,” “will,” “shall,” “should,” “expects,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential,” “objective,” or “continue,” or the negative of these words or other similar terms or expressions that concern our expectations, strategy, plans, or intentions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. These forward-looking statements are subject to a number of risks and uncertainties, many of which involve factors or circumstances that are beyond Cerebras\u2019 control. These risks and uncertainties include, but are not limited to: Cerebras\u2019 ability to sustain and manage its growth, access borrowings and other sources of capital on acceptable terms, and deploy available capital to support growth; its history of net losses and ability to achieve and maintain profitability; its limited operating history at its current scale and ability to accurately forecast revenue and appropriately budget and manage expenses; its ability to secure sufficient data center capacity and capital to support its cloud-based offerings; its dependence on a limited number of significant customers, including OpenAI, Group 42 Holding Ltd, Mohamed bin Zayed University of Artificial Intelligence, and AWS, and the potential impact of any reduction in demand from, material adverse development in its relationships with, or failure to meet its obligations to, such customers, including under its Master Relationship Agreement with OpenAI; the timing, execution and expected benefits of its strategic customer, partner and financing arrangements; its historical reliance on sales of hardware systems and the early-stage, rapidly evolving market for its cloud-based offerings and AI infrastructure; its ability to launch new offerings and add new product capabilities; and its ability to compete effectively in the rapidly evolving and competitive market for AI computing solutions.<\/p>\n

Cerebras\u2019 actual results could differ materially from those stated or implied in forward-looking statements due to a number of factors. Accordingly, undue reliance should not be placed on such statements. These forward-looking statements are made as of the date they were first issued and are based on information available to Cerebras together with Cerebras\u2019 expectations, estimates, forecasts, projections, beliefs, and assumptions as of such date. These forward-looking statements should not be relied upon as representing Cerebras\u2019 views as of any date subsequent to the date of this press release. Past performance is not necessarily indicative of future results. Cerebras undertakes no intention or obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law.<\/p>\n

Further information on potential risks that could affect actual results is included in Cerebras\u2019 most recent filings with the SEC, including in Cerebras\u2019 most recent Quarterly Report on Form 10-Q, copies of which may be obtained by visiting Cerebras\u2019 Investor Relations website at investors.cerebras.ai or the SEC\u2019s website at\u00a0www.sec.gov<\/u><\/a>.<\/p>\n

\n Contact Information<\/strong>\n <\/p>\n

\n Gimlet Labs
<\/u>Amber Rowland
Media and Analyst Relations
amber@therowlandagency.com<\/u><\/a>
+1-650-814-4560<\/p>\n

\n Cerebras
<\/u>Kriselle Laran
Media and Analyst Relations
pr@cerebras.ai<\/a>\u00a0<\/p>\n

Sean Dorsey
Investor Relations
investors@cerebras.ai<\/a>\u00a0<\/p>\n

\"\"
\n
\n \"\"\n <\/div>\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

Deployment Combines Cerebras Wafer-Scale Compute with Gimlet\u2019s Inference Cloud to Deliver Up to 3,000 Tokens per Second SAN FRANCISCO and SUNNYVALE, Calif., Sept. 28, 2026 (GLOBE NEWSWIRE) — Gimlet Labs and\u00a0Cerebras Systems (NASDAQ: CBRS) today announced a collaboration to deliver a new class of ultrafast AI inference at massive scale. The collaboration brings together Cerebras\u2019 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 … <\/p>\n

Continue reading “Gimlet Labs Adds Cerebras to Deliver Ultrafast AI Inference through Gimlet Cloud”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-1006274","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\nGimlet Labs Adds Cerebras to Deliver Ultrafast AI Inference through Gimlet Cloud - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/gimlet-labs-adds-cerebras-to-deliver-ultrafast-ai-inference-through-gimlet-cloud\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gimlet Labs Adds Cerebras to Deliver Ultrafast AI Inference through Gimlet Cloud - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"Deployment Combines Cerebras Wafer-Scale Compute with Gimlet\u2019s Inference Cloud to Deliver Up to 3,000 Tokens per Second SAN FRANCISCO and SUNNYVALE, Calif., Sept. 28, 2026 (GLOBE NEWSWIRE) — Gimlet Labs and\u00a0Cerebras Systems (NASDAQ: CBRS) today announced a collaboration to deliver a new class of ultrafast AI inference at massive scale. The collaboration brings together Cerebras\u2019 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. 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The collaboration brings together Cerebras\u2019 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. 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