NVIDIA continues to push the boundaries of AI performance, with its collaboration with Sarvam AI boosting inference performance by four times on NVIDIA Blackwell GPUs compared to H100s. This significant speedup comes from software enhancements and new hardware features like NVFP4 weight quantization, helping Sarvam AI optimize its 3B, 30B, and 100B foundational models for sovereign AI initiatives. Additionally, NVIDIA Run:ai, in partnership with Nebius AI Cloud, demonstrated that sharing parts of GPUs can greatly improve efficiency, allowing up to three times more users on a system while a half-GPU still delivers 77% of full speed.
The NVIDIA CCCL team also showcased its prowess by topping the GPU MODE Kernel Leaderboard using NVIDIA cuda.compute. This Python library enables developers to write fast GPU code, achieving speeds comparable to CUDA C++ through CUB primitives and just-in-time compilation. The team secured numerous first-place finishes across NVIDIA B200, H100, A100, and L4 GPUs, with CUB implementations proving two to four times faster for tasks like sorting.
OpenAI is actively addressing both the opportunities and challenges of artificial intelligence. At the NDTV India.AI Summit, OpenAI's Chris Lehane emphasized the company's commitment to building strong safety features into its AI models before public release. He highlighted the importance of "democratic AI" and establishing global safety standards, referencing efforts by the AI Safety Institute in the US and other nations to build societal resilience against potential misuse.
Further expanding its reach, OpenAI is partnering with six major Indian academic institutions, including IIT Delhi and IIM Ahmedabad, to teach AI skills to over 100,000 students and staff within the next year. This initiative integrates AI into core academic tasks using tools like ChatGPT Edu and offers OpenAI-backed certifications, aiming to bridge the gap between AI tools and their practical application in education.
Beyond these advancements, AI is transforming various sectors. National Day Calendar in North Dakota now produces twice as many videos daily, with AI-generated transcripts and background object removal streamlining the process. In education, former superintendent Mike Hebenthal is teaching AI at Ashland University, demonstrating how AI can analyze student data, create practice tests, and personalize learning materials, freeing up educators for more creative tasks. Meanwhile, Latent AI, Sigma Defense, and Abaco Systems showcased "edge AI" for military use in internet-free zones, providing real-time intelligence and target recognition capabilities to warfighters.
However, the rapid adoption of AI also brings critical concerns. A US appeals court fined attorney Hersh $2,500 for submitting a court brief containing 21 made-up case citations generated by AI, underscoring a growing problem with AI-generated errors. Gartner analyst Avivah Litan warns that Chief Information Security Officers must manage AI risks, especially with agentic AI, which can quickly amplify small errors if not properly governed. She stresses the need for a TRiSM framework with embedded controls and independent monitoring to ensure trust, risk, and accountability in AI systems.
Key Takeaways
- NVIDIA and Sarvam AI achieved a 4x inference performance boost on NVIDIA Blackwell GPUs compared to H100s for large AI models, utilizing NVFP4 weight quantization.
- NVIDIA Run:ai and Nebius AI Cloud demonstrated that sharing half a GPU can still provide 77% of full speed and 86% user capacity, allowing up to three times more users for AI tasks.
- The NVIDIA CCCL team's cuda.compute library topped the GPU MODE Kernel Leaderboard, enabling Python developers to write high-performance GPU code with speeds comparable to CUDA C++.
- OpenAI is partnering with six major Indian academic institutions, including IIT Delhi and IIM Ahmedabad, to train over 100,000 students and staff in AI skills using tools like ChatGPT Edu.
- OpenAI's Chris Lehane emphasized the company's commitment to building strong safety features into AI models and advocating for global safety standards and "democratic AI."
- AI significantly speeds up video production, as seen at National Day Calendar, where AI-generated transcripts and object removal doubled daily video output.
- A US appeals court fined attorney Hersh $2,500 for using AI to generate 21 false case citations in a court document, highlighting a growing issue of AI-generated errors.
- Former superintendent Mike Hebenthal is teaching educators how AI can analyze student data, create personalized learning materials, and grade essays, enhancing teaching effectiveness.
- Latent AI, Sigma Defense, and Abaco Systems demonstrated "edge AI" for military use in internet-denied environments, providing real-time intelligence and target recognition.
- Gartner analyst Avivah Litan advises CISOs to implement a TRiSM framework with embedded controls and independent monitoring to manage the risks of rapidly deployed and agentic AI systems in cybersecurity.
NVIDIA and Sarvam AI speed up AI models
NVIDIA and Sarvam AI worked together to make large AI models run much faster. Their collaboration boosted inference performance by 4 times on NVIDIA Blackwell compared to H100 GPUs. This speedup came from software improvements and new hardware features like NVFP4 weight quantization. The effort helped Sarvam AI build and optimize its 3B, 30B, and 100B foundational models for sovereign AI. These models use advanced designs like Mixture of Experts to handle complex tasks efficiently.
NVIDIA Runai boosts AI speed with GPU sharing
NVIDIA Run:ai and Nebius AI Cloud showed how sharing parts of GPUs can greatly improve AI performance. Their tests on February 18 2026 found that using half a GPU still gives 77% of the full speed and 86% of user capacity. This method allows up to three times more users on a system running different AI tasks. NVIDIA Run:ai helps businesses use their GPUs more efficiently by dynamically splitting them and scheduling workloads. This reduces costs and allows more AI models to run at once without slowing down.
AI helps National Day Calendar make videos faster
Artificial intelligence is making video production much faster at National Day Calendar in Mandan North Dakota. Chris Vandeventer, the media manager, now edits videos using AI-generated transcripts, which lets him produce four videos a day instead of two. AI also helps remove unwanted objects from backgrounds, saving a lot of time. Marlo Anderson, the company's founder, believes AI tools free up employees to focus on more important creative tasks.
NVIDIA cuda.compute wins GPU speed contest
The NVIDIA CCCL team used NVIDIA cuda.compute to top the GPU MODE Kernel Leaderboard. This library offers a Python way to write fast GPU code, making it easier for developers. It uses CUB primitives and just-in-time compilation to achieve speeds similar to CUDA C++. The team achieved the most first-place finishes on NVIDIA B200, H100, A100, and L4 GPUs. For tasks like sorting, their CUB implementation was two to four times faster than other entries. This shows that cuda.compute helps Python developers create high-performance GPU applications efficiently.
Lawyer fined 2500 dollars for AI errors in court papers
A US appeals court ordered a lawyer to pay a 2,500 dollar fine for using AI-generated false information in a court document. The 5th U.S. Circuit Court of Appeals in New Orleans found attorney Hersh submitted a brief with 21 made-up case citations and misrepresentations. Judge Jennifer Walker Elrod stated that Hersh's explanation was not believable and she only admitted using AI when directly asked. The court noted that AI-generated errors are a growing problem, with 239 such cases listed by a data scientist. The court decided existing rules are enough to handle lawyers' use of AI.
Former superintendent teaches AI to educators
Mike Hebenthal, a former superintendent, is now teaching an artificial intelligence class at Ashland University starting February 18. He believes AI will greatly change education, helping teachers be more effective. Hebenthal, also a specialist at Knox Educational Service Center, uses AI to analyze student test data and create better practice tests. He also explains how AI can grade essays and help teachers quickly make personalized learning materials for students. Hebenthal sees AI as a tool to save time and boost creativity for educators.
OpenAI discusses AI safety and future risks
At the NDTV India.AI Summit, OpenAI's Chris Lehane discussed the risks of AI and how to keep it safe. He said OpenAI builds strong safety features into its AI models before releasing them to the public. Lehane highlighted the importance of "democratic AI" and creating global safety standards, like those developed by the AI Safety Institute in the US and other countries. He believes these efforts will help societies build resilience against potential misuse of AI. OpenAI maintains an optimistic but realistic view on managing AI's powerful capabilities.
Companies show AI for military in tough areas
Latent AI, Sigma Defense, and Abaco Systems demonstrated new AI technology for military use in areas without internet. At AFCEA West 2026, they showed an "edge AI" system that works on different hardware, avoiding vendor lock-in. Latent AI's Field Tactical Suite allows soldiers to update AI models quickly, even in difficult conditions. Sigma Defense's Olympus platform helps manage and update these systems securely, while Abaco Systems provides tough hardware. This partnership aims to give real-time intelligence and AI capabilities like target recognition to warfighters.
OpenAI partners with Indian universities for AI education
OpenAI is expanding into India's higher education system by partnering with six major academic institutions. This effort aims to teach AI skills to over 100,000 students and staff in the next year. The partnerships will integrate AI into core academic tasks like coding and research, using tools like ChatGPT Edu. Institutions such as IIT Delhi and IIM Ahmedabad are involved, with some offering OpenAI-backed certifications. OpenAI is also working with Indian ed-tech platforms to offer AI training to a wider audience. Raghav Gupta, OpenAI India's head of education, states this initiative helps bridge the gap between AI tools and their practical use.
CISOs must manage AI risks in security
Gartner analyst Avivah Litan explains that while AI offers great benefits for security, Chief Information Security Officers must manage its risks. Many AI tools are deployed quickly without enough safety controls, making oversight difficult. Agentic AI, which makes autonomous decisions, can cause small errors to grow quickly if not properly managed. Traditional security checks are no longer enough; CISOs need to assess trust, risk, and accountability in AI systems. A TRiSM framework with embedded controls and independent monitoring is crucial. Effective governance, not just quick adoption, will give organizations a real advantage in cybersecurity.
Sources
- How NVIDIA Extreme Hardware-Software Co-Design Delivered a Large Inference Boost for Sarvam AI’s Sovereign Models
- Unlock Massive Token Throughput with GPU Fractioning in NVIDIA Run:ai
- Artificial intelligence making video production more efficient
- Topping the GPU MODE Kernel Leaderboard with NVIDIA cuda.compute
- US appeals court orders lawyer to pay $2,500 over AI hallucinations in brief
- Former Centerburg supt. teaches artificial intelligence class at Ashland University
- Can AI Go Rogue? How Close Are We To Disaster? What OpenAI Told NDTV
- Latent AI, Sigma Defense and Abaco demonstrate hardware-agnostic edge AI for disconnected military operations
- OpenAI pushes into higher education as India seeks to scale AI skills
- Generative and agentic AI in security: What CISOs need to know
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