Good morning from the final day of Dell Technologies World 2026. Cirrascale is still here in Vegas if you're looking to connect and discuss Private Gemini on Google Distributed Cloud with the Cirrascale Inference Platform, enabling frontier AI deployments with built-in data sovereignty. If you’re exploring secure, regulated AI deployments, we’re happy to connect: https://lnkd.in/g3eJp2T4
Cirrascale Cloud Services
Technology, Information and Internet
San Diego, California 4,514 followers
The Expert Neocloud Built for Private AI
About us
Cirrascale Cloud Services is the expert neocloud built for Private AI. We deliver dedicated, bare-metal GPU infrastructure and managed services purpose-built for training, fine-tuning, and inference at scale. Through our AI Innovation Cloud and Cirrascale Inference Platform, we help enterprise and public sector customers run the most advanced AI models (including Gemini on Google Distributed Cloud, Ai2 Endpoints, and Qualcomm Inference Cloud) inside their own secure, customer-controlled environments. Whether connected or fully air-gapped, our customers keep their data where it belongs and still get frontier-level AI performance. From regulated industries like defense, healthcare, and financial services to higher education and global enterprises, organizations turn to Cirrascale when generic cloud isn't an option and Private AI is the only path forward. Learn more at cirrascale.com.
- Website
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https://cirrascale.com
External link for Cirrascale Cloud Services
- Industry
- Technology, Information and Internet
- Company size
- 51-200 employees
- Headquarters
- San Diego, California
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Cloud Computing
Locations
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Primary
Get directions
5775 Kearny Villa Rd
San Diego, California 92123, US
Employees at Cirrascale Cloud Services
Updates
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Cirrascale Cloud Services reposted this
Recently RCRTech interviewed HPC and #AI infrastructure pioneer David Driggers, who, as CEO and founder of Cirrascale Cloud Services, has architected specialized, bare-metal server solutions explicitly optimized for heavy multi-GPU deep learning workloads and heavy-duty #AI training. He has also begun a major pivot toward enterprise-focused dedicated inferencing and inference-as-a-service for Fortune 500 companies, which we speak about in today’s #AI TechTalk and featured article. Notably, he says a one-size-fits-all approach is impossible from an accelerator perspective, explaining that “as we move to a mixture of experts and multimodal type inferencing where you may be integrating audio, video, plus text, and ultimately spatial, different accelerators will excel at different things.” For that reason, it’ll be very important in inferencing for enterprises to find the right platform for different needs, whether that’s for ultra-low latency, energy efficiency, lowest possible cost per token, or other requirements. “You should seek the smallest, simplest unit your model will fits into, and then push it down the technology stack as far as you can go…while still meeting your latency requirements – your time to first token.” That he says is essential to keep costs low, as “every semiconductor company charges more, the higher you move up their technology stack, charging per flop and per megabyte of memory.” To get more insights, read the article below, and view the video below. Stay updated with news, trends, and insights that matter, subscribe to our newsletter: https://lnkd.in/ggij-r3u
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Dell Technologies World 2026. May 18-21 in Vegas. Frontier AI from Google inside your environment. Connected or fully air-gapped, with zero data transfer fees. Defense, financial services, healthcare, higher ed: this is the one you've been waiting for. Book a meeting at the show: https://lnkd.in/gCnRYxDf
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Tomorrow: Meet your AI Co-Scientist. Join Google and Cirrascale on May 20 at 9 AM PT to see how to turn data into discovery faster than ever before. In one hour, you'll discover how to: - Empower Your Campus with Gemini Enterprise: secure, specialized AI agents for hypothesis generation, literature synthesis, and administrative automation - Meet Your AI Co-Scientist: live demos of multi agent systems built with Gemini that conduct scientific reasoning and evaluate research plans - Unlock Exclusive GPAR Benefits: industry leading pricing on AI accelerators, early access to frontier intelligence like AlphaFold, and tailored training - Scale Discovery Securely: a centrally governed platform compliant with FERPA, HIPAA, CMMC 2.0, and FedRAMP High It's time to move beyond traditional research methods and integrate AI at every stage of the research lifecycle. Last call to register: https://lnkd.in/gsUqUeYD
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The cost of discovery keeps climbing. Research productivity is dropping 50% every 13 years, and 84% of researchers are turning to AI to reverse the trend. The problem? 70% of them fall back on public AI tools, exposing institutions to serious privacy and compliance risk. Join us 9 to 10 AM PT, Tuesday May 20th for "From Hypotheses to Breakthroughs: Accelerating Research at Scale" and see how the Google Public Sector Program for Accelerated Research (GPAR) securely powers massive scale science. Register here: https://lnkd.in/g4_Ukzhv
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What if you could cut inference costs in half without giving up production-scale performance? That's what Tenstorrent Galaxy Blackhole, now live on the Cirrascale AI Innovation Cloud, was built to deliver: ✅ Approximately half the cost of leading GPU alternatives ✅ Bare-metal access (no virtualization overhead) ✅ 90% of HuggingFace models run as-is, no rewrites required ✅ Latency-optimized for large-context LLM inference and video generation
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Running inference at production scale shouldn't feel like a second job. The Cirrascale Inference Platform handles the hard parts for you: high uptime, dynamic scaling, and enterprise-grade security, all engineered to cut operational complexity and improve efficiency from day one. 👉Request access: https://lnkd.in/gBRQzBYn
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Cirrascale Cloud Services reposted this
"The Allen Institute for AI says it has brought online and started using a powerful new computing system funded by NVIDIA and the National Science Foundation (NSF), the first big milestone in a $152 million project to build open AI models for scientific research." "Unlike most large-scale AI projects, Ai2 releases the full code, data, and training methods behind its models, allowing other researchers to reproduce and build on the work. The new system, located outside of Austin, runs on Nvidia’s Blackwell Ultra chips and is managed by Cirrascale Cloud Services." #seattle #technews #Al
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Cirrascale Cloud Services reposted this
Today we’re bringing new NSF OMAI compute online with NVIDIA Blackwell Ultra-powered systems. 👇 This turns a $152M national investment from the National Science Foundation (NSF) & NVIDIA into a foundation for truly open AI research. Built on NVIDIA B300 systems and deployed with Cirrascale Cloud Services, the new cluster supports scaled training and experimentation across language, multimodal, and scientific AI, helping extend research directions behind models like Molmo 2 & Olmo Hybrid. Our research estimates that in today’s model training efforts, 82% of compute goes into exploratory work. At closed labs, the output of that work stays within those labs. In an open system, models, datasets, & methods are shared, and the value compounds across the field. With the new NSF OMAI compute now online, Ai2 is building toward open, reusable AI systems that researchers can deeply inspect, study, and customize. → Read more in our blog: https://lnkd.in/eiepsHnm
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OMAI compute is live. Cirrascale was selected to deploy and provide managed services for the hardware infrastructure behind Ai2's NSF + NVIDIA-backed open AI initiative for scientific discovery. Truly open models, built on a foundation we’re proud to support: https://hubs.la/Q04fP_P40
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