Quali Streamlines Delivery of Agentic AI at Scale with NVIDIA AI Enterprise
AUSTIN, Texas, March 18, 2025 (GLOBE NEWSWIRE) -- Quali, a leading provider of platform engineering solutions for infrastructure automation and management, today announced its integration with NVIDIA AI Enterprise software, including NVIDIA NIM™ microservices and NVIDIA AI Blueprints, to simplify the creation and management of Agentic AI solutions.
Agentic AI represents a transformational opportunity for today's enterprises, with implications across internal operations and customer experience.
By leveraging NVIDIA NIM microservices and NVIDIA AI Blueprints included in the NVIDIA AI Enterprise software platform, the Quali Torque Software-as-a-Service platform simplifies the orchestration and management of each layer of the Agentic AI tech stack: accelerated infrastructure, cloud services and data pipelines, LLMs and AI models, and AI agents and applications.
With Torque providing unified orchestration, lifecycle management, and cost optimization, each layer of the development stack seamlessly supports each other to ensure reliability, accuracy, and efficiency.
To accomplish this, Torque manages the entire infrastructure lifecycle using Environments as Code (EaC)—a model that transforms cloud resources into fully managed, self-service environments supporting mission-critical operations, such as AI workloads, software development, demos, training, and more.
Quali can deploy and manage the entire tech stack supporting Agentic AI solutions as a stateful, dynamic environment through the integration of NVIDIA technology. This approach cuts through complexity and automates routine tasks, enabling more organizations to adopt Agentic AI faster, scale more efficiently, and focus on innovation rather than infrastructure management.
Key highlights of this release include:
Easy-to-Use Modules of NVIDIA AI Enterprise & Other NVIDIA Resources: Torque creates reusable modules defining each component needed to deliver an AI agent, including NVIDIA accelerated compute, NVIDIA NIM microservices, and pre-trained models and data science frameworks included with NVIDIA AI Enterprise. This normalization enables no-code orchestration of each layer of the stack supporting the AI solution, thereby accelerating delivery and lowering the barrier to adoption of Agentic AI.
AI-Driven Environment Design, Creation, & Reusability: Torque's AI Copilot leverages these reusable modules to design and generate new environment blueprints in response to user-submitted prompts. Additionally, Torque's graphical environment design tool allows users to drag-and-drop resources and set dependencies visually. As the user adjusts the design of the environment, Torque modifies the code in the environment blueprint file automatically, further reducing the need for complex coding to support the AI solution. Once complete, Torque saves this blueprint as a reusable file that can be deployed, maintained, and monitored continuously.
Simplified Provisioning & Maintenance of Individual Layers of the Agentic AI Tech Stack: Torque executes the code to provision each layer of the AI tech stack, monitors the state of those resources continuously, and notifies users about anomalies, including infrastructure errors, configuration drift, and other unexpected updates. This allows Torque administrators to tailor the user experience to the people responsible for delivering each layer of the AI tech stack, enabling them to reconcile errors and other unexpected issues proactively.
Streamlined Integration of Each Layer of the AI Tech Stack: Once provisioned as a managed environment in Torque, each layer of the AI tech stack can be published so other users can access it as an input supporting other layers of the stack. For example, a developer building an AI agent can select the live GPU clusters, cloud-based data services, and AI models they need from a simple pick list made available in Torque's provisioning experience. Torque leverages those inputs to provision the AI agent, while also enabling users to maintain the live environment supporting each layer of the stack. This provides a seamless experience that cuts through complexity and accelerates the delivery of full-stack AI agents.
Automating Critical Tasks for AI Performance: Torque workflows can define and automatically execute routine tasks required to maintain high-performing AI solutions, such as training and data quality assurance. This eliminates manual work required for day-to-day maintenance, while also providing visibility for users to understand when these tasks were last executed, how effective they were, and other relevant information.
Dynamic GPU Scaling in Response to Application Needs: As the various AI models supporting the agent transition through mission-critical phases, Torque automatically scales GPUs up and down. This provides adequate computing capacity to support even the most resource-intensive workloads like training, while scaling down capacity to prevent costly over-provisioning for less resource-intensive tasks like inference.
'Complexity has always been at the core of the problems we solve for our customers and partners,' said Lior Koriat, Quali CEO. 'As more organizations look to embrace AI, the ability to cut through complexity is the key to delivering the kinds of AI experiences that customers expect. We're thrilled to develop a streamlined approach for delivering impactful AI solutions leveraging NVIDIA AI, and we look forward to helping our community unlock these opportunities.'
About Quali:
Headquartered in Austin, Texas, Quali provides platform engineering tools to help enterprise technology and engineering teams accelerate and optimize the use of multi-cloud infrastructure. Global 2000 enterprises rely on Quali's solutions to democratize cloud access securely and efficiently by simplifying the experience of deploying application environments and enforcing cloud governance at scale. For more information, please visit quali.com and follow Quali on LinkedIn.
Contact Information:
Colin Neagle VP of Marketing Quali Colin.n@quali.com www.quali.com
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
3 minutes ago
- Yahoo
Nvidia's China Nightmare? H20 Chip Faces Backdoor Allegations in High-Stakes Trade Showdown
China's been turning up the heat on Nvidia (NASDAQ:NVDA), and not in a good way. This week, the country's top internet watchdog summoned Nvidia reps over what it calls serious security risks tied to the H20 chipa product Nvidia designed specifically to meet U.S. export rules. State media pulled no punches either. In a commentary published Friday, the People's Daily warned of potential chip backdoors triggering a nightmare, saying it couldn't allow infected semiconductors into its digital infrastructure. Nvidia responded firmly: Cybersecurity is critically important to us, adding that its chips don't contain any remote access pathways. Still, in today's geopolitical climate, that reassurance may not be enough. Warning! GuruFocus has detected 5 Warning Signs with NVDA. Here's where things get messier. Just a few weeks ago, the U.S. agreed to lift restrictions on H20 sales to China as part of a broader deal involving rare-earth magnetsmaterials critical for everything from smartphones to fighter jets. Commerce Secretary Howard Lutnick had framed the H20 resumption as a meaningful breakthrough after bilateral talks in London, and Treasury Secretary Scott Bessent said the magnet issue was solved. But with Beijing now putting the H20 back under the microscope, it's unclear whether Nvidia has actually received the licenses it needs to ship the chips. And if China decides the H20 isn't up to pareither technically or politicallythose sales may stall before they even start. Meanwhile, CEO Jensen Huang has been walking a tightrope. Fresh off a high-profile visit to Beijing, Huang praised China's AI momentum and national champions like DeepSeek, all while pushing back on the idea that Nvidia would ever install surveillance backdoors into its products. He called the suggestion not only false, but bad business. Still, the reality is this: Nvidia's H20, already weaker than its flagship GPUs, now faces a political test that could matter more than its specs. Investors watching the tech standoff might want to pay close attention to what happens nextbecause this chip is turning into a geopolitical bargaining chip. This article first appeared on GuruFocus. Sign in to access your portfolio
Yahoo
37 minutes ago
- Yahoo
NVIDIA Corporation (NVDA) Could Be In Great Shape In China, Says Jim Cramer
We recently published . NVIDIA Corporation (NASDAQ:NVDA) is one of the stocks Jim Cramer recently discussed. NVIDIA Corporation (NASDAQ:NVDA) has started to become a regular feature on Cramer's morning show as it solidifies its position as the world's most valuable company. In his earlier remarks about the firm, the CNBC TV host has praised the firm's CEO, Jensen Huang, and his success in convincing the Trump administration to lift GPU sales restrictions on China. Once the restrictions were lifted, the market started speculating whether NVIDIA Corporation (NASDAQ:NVDA) could meet Chinese demand. Cramer discussed this issue in the context of EDA provider Cadence's recent results: 'By the way, Cadence, that is, when people look at Cadence, the number one partner is NVIDIA. Now NVIDIA also has the story out there, but not confirmed by me, that there's, the H20 orders from China are huge. There had been some talk that maybe they wouldn't be. Cadence is a fantastic company. And I think that that was the sign that NVIDIA is in great shape in China. NVIDIA's doing so well, what are you going to do? It just keeps, it's just relentless.' Here's what he said earlier about NVIDIA Corporation (NASDAQ:NVDA): 'Okay, I'm getting a lot of pushback for my like of Jensen Huang, saying he's really a globalist. It's not what we want. I'm saying, if everything is based on his chips, we are a new kind of reserve currency. And it's kind of exciting. . .new semiconductor, it's another thing that we're great at. That's Jensen. And Jensen, see a lot of this is what it's written on, what are they going to build on. . .and if you have to write on NVIDIA, David, instead of Huawei, the Chinese could end up being the pitiful, helpless giant.' While we acknowledge the potential of NVDA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the . READ NEXT: 30 Stocks That Should Double in 3 Years and 11 Hidden AI Stocks to Buy Right Now. Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
Yahoo
an hour ago
- Yahoo
Super Micro Q4 Earnings Loom--Should You Buy, Hold, or Sell?
Aug 1 - Super Micro Computer (NASDAQ:SMCI) prepares to report fiscal fourth-quarter 2025 results on August 5, with analysts watching for a potential earnings surprise as the company leans on surging AI infrastructure demand. Wall Street expects revenue near $6 billion, slightly below the midpoint of management's prior outlook, and EPS estimates also reflect modest expectations. The San Jose-based server and data center solutions provider navigated a soft fiscal Q3 as revenue came in at $4.6 billion, up 19% year-over-year but just shy of forecasts. Management attributed the shortfall to customers delaying purchases amid the transition from Nvidia's (NVDA) Hopper to Blackwell GPUs, with deferred orders expected to contribute to a stronger Q4 and early fiscal 2026. Warning! GuruFocus has detected 7 Warning Signs with SMCI. Super Micro continues to expand globally, launching over 30 new Blackwell-based AI server solutions and forming a multi?year, $20 billion partnership with Saudi DataVolt to deploy ultra?dense GPU platforms in the U.S., U.K., and Saudi Arabia. With 9% share of the AI platform market and 31% in branded AI servers, the company positions itself for growth as liquid?cooled and high?density solutions drive demand. Investors now look for confirmation that Q3 was a reset, not a slowdown. Based on the one year price targets offered by 16 analysts, the average target price for Super Micro Computer Inc is $41.06 with a high estimate of $70.00 and a low estimate of $15.00. The average target implies a downside of -27.40% from the current price of $56.55. Based on GuruFocus estimates, the estimated GF Value for Super Micro Computer Inc in one year is $71.09, suggesting a upside of +25.71% from the current price of $56.55. Gf value is Gurufocus' estimate of the fair value that the stock should be traded at. It is calculated based on the historical multiples the stock has traded at previously, as well as past business growth and the future estimates of the business' performance. For deeper insights, visit the forecast page. This article first appeared on GuruFocus.
