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Today is a thrilling day for Anjuna! We've made several announcements that showcase the robust momentum of the Confidential Computing market, highlight the critical role this technology is playing in enabling the development and deployment of trustworthy AI, and underscore Anjuna's leadership position in the industry. Here’s a quick summary of our announcements:
- A partnership with NVIDIA, integrating the Anjuna Seaglass platform with Blackwell and Hopper architecture Confidential GPUs to accelerate deployment of Confidential Computing environments.
- Our joint work with NVIDIA to enable Confidential AI for the U.S. Navy, who successfully tested Llama3 LLM models on confidential NVIDIA H100 Tensor Core GPUs.
- The launch of Anjuna Seaglass™ AI Clean Rooms. By leveraging Confidential Computing to establish secure data-sharing environments, it is uniquely poised to propel enterprise multi-party collaboration in AI.
- The closing of a $25 million financing round, led by M Ventures, SineWave Ventures, and AI Capital Partners, with participation from existing investors, including Playground Global and Insight Partners.
This is an exciting milestone for Anjuna as we continue our mission to foster secure and private collaboration for all enterprises.
The best security solutions are enablers. Time for Confidential AI
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The best security solutions have always been enablers. Firewalls allowed organizations to connect to the Internet for the first time. Okta gained success by enabling large enterprises to securely manage identities for SaaS solutions. And TLS lets us log into our bank accounts or corporate emails from places like airports or Starbucks, a practice that was considered very risky or even blocked by enterprises until just a few years ago.
Confidential AI is the next enabler of collaboration. Every system is composed of three components: data, code/models, and infrastructure. When multiple entities control any of these components, security and privacy risks arise. This occurs when organizations want to share data, use another’s models, or leverage third-party infrastructure, such as in public cloud scenarios.
Confidential AI addresses these challenges, enabling organizations to collaborate without compromising data security or model privacy. We’re thrilled to partner with NVIDIA, empowering enterprise customers to harness the full potential of AI with the use of confidential GPUs while maintaining robust security and privacy protections. We are also thrilled to introduce our new Seaglass AI Clean Rooms product, which is poised to revolutionize data collaboration by fundamentally mitigating the greatest risks associated with data sharing using Confidential Computing as the runtime bedrock.
Fueling growth and innovation with new funding
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We’re excited to announce the continued support of our existing investors, Playground Global, Insight Partners, Uncorrelated, and Founder Collective, with new investors that join our journey: Merck’s M Ventures, SineWave Ventures, and AI Capital. Their support will further empower us to carry the momentum we’re seeing enabling Confidential AI for financial services, government, and healthcare, among others. These organizations will continue leading their industries to leverage more data for training and inference in AI models, without compromising on security and privacy.
Anjuna Seaglass: the standard for secure computing
By removing critical barriers to the adoption of Confidential Computing, Anjuna Seaglass ensures that organizations can tear down the guardrails surrounding data sharing and innovate without bounds. Companies gain the freedom to run any application anywhere in the world with airtight data security. As the world continues to embrace the transformative power of AI, incorporating Confidential Computing into cloud environments is imperative for the safe development of this inevitable new reality, as demonstrated by the recent Apple’s commitment in their own Private Cloud Compute. With Anjuna making Confidential Computing extremely simple for enterprise environments and the underlying hardware from manufacturers like NVIDIA minimizing performance impact, this technology is bound to become the standard for secure, private computing. Just as almost every website today uses HTTPS, soon every workload will run in Confidential Computing,... you’d be crazy not to.
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