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HomeCyber SecurityAzure AI Provides GPT-4 and Upgraded Digital Machines

Azure AI Provides GPT-4 and Upgraded Digital Machines


Microsoft is engaged on creating tips for crimson groups ensuring generative AI is safe and accountable.

A brain on circuitry representing AI.
Picture: putilov_denis/Adobe Inventory

Microsoft and OpenAI have gone hand-in-hand for a very long time, from Microsoft’s preliminary funding of the corporate behind ChatGPT to embedding GPT companies contained in the Azure AI platform. Azure OpenAI Service is on the “forefront” of a generative AI transformation that features GPT-4, whereas the Azure AI infrastructure is the “spine,” the Redmond tech large wrote in a weblog publish detailing updates to the Azure AI platform on Monday.

Two large adjustments — new choices from OpenAI and upgraded digital machine {hardware} — present Microsoft’s ongoing dedication to placing generative AI in play in additional methods.

Leap to:

New fashions, together with GPT-4, come to Azure OpenAI

OpenAI’s GPT-4 and GPT-35-Turbo will now be out there by means of Azure OpenAI Service in 4 new areas: japanese Canada, japanese Japan, southern U.Ok. and an extra swath of the japanese U.S. (East US 2 on the availability map). GPT-4 is probably the most superior generative AI mannequin out there from OpenAI at present.

Azure OpenAI Service has about 11,000 clients who use it for duties reminiscent of customer support, writing content material and analyzing paperwork.

“What we’re seeing is that the ChatGPT editor [from Azure OpenAI] helps customers create content material that’s extra related, personalised, much more inventive,” Aprimo chief product officer Kevin Souers stated.

Current Azure OpenAI clients can now be part of a waitlist for entry to GPT-4.

SEE: Risk actors spun ChatGPT out into the malicious WormGPT. Study this and different potential ChatGPT-related safety dangers. (TechRepublic)

What new NVIDIA-powered VMs imply for Azure clients

A brand new digital machine collection, the Azure ND H100 v5, at the moment are typically out there within the East U.S. and South Central U.S. Azure areas for present enterprise clients. These VMs are designed to assist organizations design and run generative AI functions.

The brand new {hardware}, NVIDIA H100 Tensor Core GPUs and NVIDIA Quantum-2 InfiniBand networking, is tuned for AI efficiency. The low-latency networking contains NVIDIA Quantum-2 ConnectX-7 InfiniBand with 400Gb/s per GPU with 3.2Tb/s per VM of cross-node bandwidth for supercomputer-level efficiency.

The PCIe Gen5 information switch normal within the ND H100 v5 VMs, guided GPU efficiency to 64GB/s bandwidth per GPU for improved efficiency between the CPU and GPU, Nidhi Chappell, common supervisor of Azure AI infrastructure, and Eric Boyd, company vice chairman for AI platforms at Microsoft, detailed in a weblog publish.

Operations on the ND H100 v5 VMs will be capable to be carried out sooner, and a few massive language fashions will see two occasions sooner speeds when run on them, Microsoft stated.

Pink teaming must adapt to the behaviors of generative AI

Security and safety stay considerations in the case of AI. Microsoft assures clients that it ” … incorporates strong security programs and leverages human suggestions mechanisms to deal with dangerous inputs responsibly.” Microsoft additionally encourages crimson teaming AI functions or inviting moral hackers to play the function of risk actors to see how AI functions is perhaps susceptible to assault.

Microsoft’s tips for crimson groups gearing as much as work with AI embody:

  • Specializing in safety and accountable AI outcomes, which means ensuring the output isn’t offensive or harmful.
  • Working inside the concept that not solely malicious interactions but in addition benign ones might lead to undesirable outputs.
  • Ensuring each defensive and offensive strategies are very thorough.

Rivals to Azure AI

Rivals to Microsoft’s Azure AI embody Amazon Net Providers, IBM Watson, Google AI, DataRobot’s customized AI mannequin service, Salesforce Einstein AI for advertising and marketing, ServiceNow AIOps for IT operations administration, Oracle Cloud Infrastructure and H2O.ai.



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