NVIDIA and MediaTek are deepening our long-standing collaboration to build the next generation of AI computing platforms - from cloud AI factories to local AI computing and AI-defined vehicles. MediaTek will adopt the NVIDIA NVLink Fusion platform, providing customers with a prevalidated path to develop custom XPUs and bring them into NVIDIA NVLink-connected, rack-scale AI factories. Together, NVIDIA’s accelerated computing and AI software platforms and MediaTek’s expertise in custom silicon, high-performance SoC design, advanced packaging and connectivity will help customers build differentiated AI systems at enormous scale. 🔗 Read the full announcement: https://nvda.ws/4gIHnNB
About us
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
- Website
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http://www.nvidia.com
External link for NVIDIA
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, CA
- Type
- Public Company
- Founded
- 1993
- Specialties
- GPU-accelerated computing, artificial intelligence, deep learning, virtual reality, gaming, self-driving cars, supercomputing, robotics, virtualization, parallel computing, professional graphics, and automotive technology
Locations
Employees at NVIDIA
Updates
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Are you measuring AI infrastructure performance on how agents actually run? SemiAnalysis built AgentX to do just that. Vera Rubin NVL72 performance measured by NVIDIA on the SemiAnalysis AgentX workload shows up to 30x better throughput per megawatt than GB300 NVL72. Learn more ➡️ https://nvda.ws/4x2WyXX
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This week in the NVIDIA Newsroom: • NVIDIA announced financial results for the second quarter of fiscal 2027. • AWS and NVIDIA announced plans to deliver 2 million additional GPUs and next-generation infrastructure for agentic and physical AI. • SpaceXAI adopted NVIDIA Vera CPU to accelerate agentic AI at massive scale. • NVIDIA announced Jetson Orin Nano 2, a new robotics computer for entry-level edge AI. Catch up on the latest NVIDIA news from this month ⬇️
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What used to take years now takes a week. Texas A&M University's VISION, an NVIDIA DGX SuperPOD and the most powerful academic supercomputer on the June 2026 TOP500, is giving researchers across seven institutions the compute to tackle challenges at unprecedented scale and speed. Read the full story: https://nvda.ws/4zLEaFz
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Open development helps AI move faster. When we can learn from, build on and improve each other’s work, we can make better technology together. Hear Bryan Catanzaro on The MAD Podcast / Data Driven NYC: https://nvda.ws/4hW94EM
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NVIDIA reposted this
Agentic inference is multi-turn, with highly variable sequence lengths, long contexts, tool-call delays, and bursts of sub-agent activity. SemiAnalysis's InferenceX benchmark evolved to capture just that with the new AgentX benchmark. Learn more about how we deliver leading performance across all frontier models ➡️ https://nvda.ws/4gpFI0k
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Congratulations to Josh Parker, NVIDIA's Head of Sustainability, on being named to TIME’s 2026 #TIME100AI list. Learn more: https://nvda.ws/45RnvCW
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NVIDIA Vera is heading to Amazon Web Services (AWS). NVIDIA’s Ian Buck hand-delivered AWS’s first Vera CPU Server and Vera Rubin GPU to Willem Visser and Supreeth Sheshadri at the AWS HQ in Seattle. Vera is purpose-built for agentic AI: more tokens per dollar, faster results for users, and the compute foundation AI factories need to scale. Read more: https://nvda.ws/4qCNqrx
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NVIDIA and Amazon Web Services (AWS) are expanding the partnership across the full stack — GPUs, CPUs, networking, open models and software — to make agentic and physical AI real at a pace and scale that only we can deliver together. What that looks like: ➡️ 2 million additional NVIDIA GPUs across AWS’s global infrastructure ➡️ NVIDIA Vera CPU coming to AWS for agentic AI ➡️ Faster, more power-efficient memory with NVLink Fusion with NVHBM ➡️ AI factories for the U.S. government, including 100,000 GPUs on secure AWS infrastructure Demand is running ahead of every forecast and we’re building to match it. 🔗 Read the announcement: https://nvda.ws/4y7Ne6c
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