
Vultr Achieves $3.5 Billion Valuation
The new funding will enable Vultr to expand its AI infrastructure and cloud computing offerings, making it a strong alternative to traditional hyperscalers.
Explore NVIDIA’s journey from its 1993 founding to becoming a global leader in GPU technology and AI innovation. Learn about groundbreaking products like GeForce graphics cards, CUDA programming, and data center solutions. Discover NVIDIA’s impact on gaming, autonomous vehicles, and high-performance computing. Uncover the company’s history, key milestones, and its role in shaping the future of technology.
The new funding will enable Vultr to expand its AI infrastructure and cloud computing offerings, making it a strong alternative to traditional hyperscalers.
The device offers up to a 1.7x boost in generative AI inference performance and supports popular models for developers, hobbyists, and students.
China is a crucial market for the chipmaker, both as a significant revenue source and as a hub for advancing its R&D capabilities.
Startups and ISVs enrolled in the NVIDIA Inception and Connect programs can receive cloud credits of up to $50,000 on Yotta’s Shakti Cloud.
NVIDIA is at it again, this time with a segment-leading vision model that reads images, and videos as input
The AI assistant ‘Sukjai’ is built using NVIDIA AI for the Tourism Authority of Thailand and will support Thai and English languages.
Regardless, the chips would return to Taiwan for packaging due to the lack of chip-on-wafer-on-substrate capacity in Arizona.
AI agents can achieve critical processes such as verification and tape-out in the design of integrated circuits.
“For instance, Fugatto can make a trumpet bark or a saxophone meow. Whatever users can describe, the model can create.”
The Elastic AI Ecosystem includes integrations with top players including Amazon Web Services, Anthropic’s Claude, Microsoft, Mistral AI, NVIDIA, OpenAI and more.
Hymba outperforms other small LLMs, like Meta 3.2 or SmolLM v2, when trained on only 1.5T Tokens.
“Digital humans will help take clinician notes and schedule appointments, taking those tasks off the plates of busy practitioners,” said NVIDIA’s Kimberly Powell.
In the race to power AI applications, inference chips are the unsung heroes driving real-time decisions, from chatbots to recommendation engines
Blackwell production is running at full steam- Jensen Huang.
“Inference is super hard,” says Jensen Huang.
“India will be one of the biggest intelligence markets and it is not only our aspirations but also the raw gene pool and the raw gene power that exists in India,” said Reliance chief Mukesh Ambani.
It evaluates LLMs for vulnerabilities such as hallucinations, data leaks, prompt injections, misinformation, toxicity, and jailbreak scenarios.
LLaMA-Mesh is trained on 32 A100 GPUs for 21k iterations over 3 days.
“Sahabat-AI is not just a technological achievement, it embodies Indonesia’s vision for a future where digital sovereignty and inclusivity go hand in hand ”
ROCm was initially built for NVIDIA GPUs; however, AMD later prioritised it for its own GPUs.
Designed with NVIDIA’s AI Enterprise software stack and NVIDIA’s NIM microservices, Nutanix Enterprise AI enables optimised model performance, offering customers the flexibility to deploy AI models.
We are on the cusp of a breakthrough moment for physical AI—models that can understand, interact, and navigate the world: Kimberly Powell, business development manager for Healthcare at NVIDIA.
Huang said that, in the next couple of years, there will not be a single paper or breakthrough in science or engineering where generative AI won’t be at its foundation.
The future, according to Huang, lies in “codesign,” a method where both hardware and software are developed together to ensure optimal performance.
In addition to Isaac Lab, six specialised workflows for their humanoid development platform, Project GR00T, were also released.
NVIDIA, originally known for its 3D graphics in video games, is now returning to its roots
NVIDIA’s revenue has doubled each quarter, underscoring its role as a backbone of AI infrastructure.
Meta’s three new research artefacts bring touch, dexterity and interaction to robots.
Su cautioned about an uncertain future as AMD prepares to ramp up GPU production and optimise for larger deployments—quite the opposite of NVIDIA’s rapid, consistent growth in AI segments.
AI is transforming India’s digital infrastructure and reaching the farthest of underserved communities.
AIM’s Happy Llama 2025 brings AI startups, investors, and experts under one roof to drive meaningful growth and innovation.
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