India’s GPU Boom: 17,000+ GPUs Successfully Installed Under the IndiaAI Mission

In an unprecedented stride toward digital empowerment, India has crossed a significant milestone by successfully installing over 17,300 GPUs under its ambitious IndiaAI Mission. Far from being a simple hardware update, this marks a tectonic shift in how the country envisions its role in the global AI landscape: not just as a user of AI, but as a builder, architect, and innovator.

At the heart of this transformation is the ₹10,372 crore initiative to establish a nationwide compute infrastructure. The response has been overwhelming—over 34,000 GPU proposals flooded in across the first two rounds, with the third already wrapped up and awaiting evaluation. These aren’t just numbers. They represent India's move to democratize AI access across startups, research labs, and public institutions through a model that’s affordable, shared, and scalable.

Sovereign Algorithms for a Diverse Nation

India’s true differentiator may lie not in the hardware, but in what it enables. Projects like Sarvam and Bhashini signal a shift from data sovereignty to algorithmic sovereignty—developing indigenous large language models trained on culturally grounded, linguistically diverse datasets. This is critical in a nation where Hindi and Tamil are just the tip of the linguistic iceberg.

UPI for AI? A Public Infrastructure Vision

Much like how UPI redefined digital payments, the government aims to create a public AI backbone through the IndiaAI Compute Portal and strategic ties with CDAC and NIC. By offering GPU access at up to 40% reduced cost, this infrastructure is turning AI from an elite tool into a public utility, allowing a biotech startup in Lucknow to tap the same resources as a research center in Bengaluru.

From Brain Drain to Brain Gain

India’s AI brainpower has often migrated in search of compute capacity—but that could change. With on-shore, cost-effective infrastructure, researchers and developers can now push boundaries from within India’s borders. This access isn’t just about convenience; it’s about creating a nurturing ecosystem that invites innovation to flow from India, for the world.

A Subtle Diplomatic Flex

While key partners like Nvidia are pivotal to this rollout—Yotta Data Services is deploying H100 GPUs en masse—the infrastructure itself remains rooted in Indian soil. This reflects a savvy, techno-strategic non-alignment: not beholden to any bloc, but assertively Indian in design and purpose.

India is betting big on compute capacity not just as a technical enabler, but as a lever of national influence and innovation. The GPU rollout is the foundation—but the edifice being built is one of sovereign innovation, equitable access, and global ambition. As the chips power up, so does a new chapter in India's AI story.

Intel’s Lunar Lake Processors for AI PCs Arriving by September This Year

Intel's Lunar Lake processors, which is the company's upcoming 16th generation CPU and a part of Intel's client processor lineup, are set to make a significant impact in the market with their launch in Q3 2024.

The Core Architecture of Lunar Lake will feature a hybrid core architecture with 4 Performance (P) cores and 4 Efficiency (E) cores, providing a balanced design for both power and performance.

Lunar Lake will power more than 80 new laptop designs across more than 20 original equipment manufacturers (OEMs), delivering AI performance at a global scale for Copilot+ PCs. Lunar Lake will get the Copilot+ experiences, like Recall, via an update when available.

These processors are built on Intel's advanced 20A process node (which is equivalent to 2nm), enhancing performance and power efficiency, especially for mobility devices.

Lunar Lake is expected to be a groundbreaking mobile processor for AI PCs with more than 3 times the AI performance compared with the previous generation. An AI PC has a central processing unit (CPU), a graphic processing unit (GPU) and a neural processing unit (NPU), each with specific AI acceleration capabilities. An NPU is a specialized accelerator that efficiently handles AI and machine learning (ML) tasks right on your PC instead of sending data to be processed in the cloud. The AI PC is increasingly important as the need to automate, streamline and optimize tasks on the PC grows.

Lunar Lake's AI Capabilities is expected to give a significant boost in AI performance, thanks to the inclusion of a new Neural Processing Unit (NPU) capable of over 45 TOPS (Tera Operations per Second), making it four times more powerful than the NPU on Meteor Lake rated at 11 TOPS.

Lunar Lake will also feature the Xe2 GPU architecture, similar to Intel’s upcoming Battlemage discrete GPUs. This includes the Xe Matrix eXtension (XMX) cores, which should improve graphics capability significantly.

Key Features —

Performance: It is claimed to be 40% faster in Stable Diffusion 1.5 running on the GIMP photo editor when compared to the Snapdragon X Elite.

Power Efficiency: It promises the lowest power consumption seen from an x86 processor, which could be a game-changer for battery life in laptops and other portable devices.

Intel's Lunar Lake processors are poised to be a major step forward in the evolution of CPUs, offering improvements in AI, graphics, and power efficiency that could redefine the capabilities of next-generation laptops and other computing devices.

Intel's announcement comes as a competitive response to Qualcomm's Snapdragon X Elite processors, highlighting the intensifying race to dominate the Al and PC market. With such advancements, Lunar Lake processors are poised to power the next generation of Al personal computers, including the Microsoft Copilot+ PCs. 

OpenAI To Buy $51 Mn of AI Chips from OpenAI's CEO backed Startup

ChatGPT maker OpenAI, in 2019, had signed a nonbinding agreement to spend $51 million on AI chips from a startup called Rain AI into which OpenAI CEO has invested in his personal capacity.

According to a report by Wired, Altman had personally invested by more than $1 million into Rain AI, by leading a seed round in the startup in July 2020. The letter of intent has not been previously reported. The AI Chip Startup is located less than a mile from OpenAI’s headquarters in San Francisco.

Founded in 2017, by Gordon Wilson, Jack Kendall and Juan Nino, Rain AI is working on a chip it calls a neuromorphic processing unit, or NPU, designed to replicate features of the human brain. The Sam Altman backed startup claims that its brain-inspired NPUs will yield potentially 100 times more computing power and, for training, 10,000 times greater energy efficiency than GPUs, primarily sourced from Nvidia.

Just a few days back, Biden-led US administration had reportedly forced a Saudi Aramco-backed venture capital firm Prosperity7, to sell its shares in Rain AI, reported Bloomberg.

Rain AI had also raised a small seed funding from the venture unit of Chinese search engine Baidu.

While Amazon and Google have spent years developing their own custom chips for AI projects. Altman has refused to rule out OpenAI making its own chips apparently because of the fact that unlike OpenAI Amazon and Google have other business verticals–revenues to fund the AI chip of their own.

Intel Unveils Arc Pro GPU Products

Today Intel introduced the Intel® Arc™ Pro A-series professional range of graphics processing units (GPUs). The first products are the Intel Arc Pro A30M GPU for mobile form factors and the Intel Arc Pro A40 (single slot) and A50 (dual slot) GPUs for small form factor desktops. They all feature built-in ray tracing hardware, machine learning capabilities and industry-first AV1 hardware encoding acceleration.

Intel Arc Pro A-series graphics are targeting certifications with leading professional software applications within the architecture, engineering and construction, and design and manufacturing industries. Intel Arc Pro GPUs are also optimized for media and entertainment applications like Blender, and run the open source libraries in the Intel® oneAPI Rendering Toolkit, which are widely adopted and integrated in industry-leading rendering tools.

Intel Arc Pro GPUs will be available starting later this year from leading mobile and desktop ecosystem partners.

For developers and content creators attending SIGGRAPH on Aug. 8- 11, demos using Intel Arc Pro systems and Intel oneAPI Rendering Toolkit can be seen at the Intel Booth, #427.

Specifications

	Intel Arc Pro A40 GPU	Intel Arc Pro A50 GPU	Intel Arc Pro A30M GPU (Mobile)
Peak Performance	3.50 TFLOPs at Single Precision	4.80 TFLOPs at Single Precision	3.50 TFLOPs at Single Precision
Xe-core	8x Ray Trace Cores	8x Ray Trace Cores	8x Ray Trace Cores
Memory	6GB GDDR6	6GB GDDR6	4GB GDDR6
Display Outputs	4x mini-DP 1.4 with Audio Support	4x mini-DP 1.4 with Audio Support	Laptop Specific with Support for up to 4x
General	50w Peak Power in a Single Slot Form Factor	75w Peak Power in a Dual Slot Form Factor	35-50w Peak Power and ISV Software Certified

NVIDIA Introduces GeForce RTX 3060, Next Generation of the World’s Most Popular GPU

NVIDIA today announced that it is bringing the NVIDIA Ampere architecture to millions more PC gamers with the new GeForce® RTX™ 3060 GPU.
 
With its efficient, high-performance architecture and the second generation of NVIDIA RTX™, the RTX 3060 brings amazing hardware ray-tracing capabilities and support for NVIDIA DLSS and other technologies, and is priced at INR 29,500.
 
NVIDIA’s 60-class GPUs have traditionally been the single most popular cards for gamers on Steam, with the GTX 1060 long at the top of the GPU gaming charts since its introduction in 2016. An estimated 90 percent of GeForce gamers currently play with a GTX-class GPU.
 
“There’s unstoppable momentum behind ray tracing, which has quickly redefined the new standard of gaming,” said Matt Wuebbling, vice president of global GeForce marketing at NVIDIA. “The NVIDIA Ampere architecture has been our fastest-selling ever, and the RTX 3060 brings the strengths of the RTX 30 Series to millions more gamers everywhere.”
 
With newer gaming titles come bigger worlds with cinematic graphics and real-time ray tracing — these are gaming workloads that only RTX-powered platforms are suited to handle. The GeForce RTX 3060 has twice the raster performance and 10x the ray-tracing performance of the GTX 1060, making it a formidable upgrade opportunity and the foundation of a gaming PC platform powerful enough to handle cutting-edge titles such as Cyberpunk 2077 and Fortnite with RTX On at 60 frames per second.
 
The RTX 3060’s key specifications include:
 

• 13 shader-TFLOPs
• 25 RT-TFLOPs for ray tracing
• 101 tensor-TFLOPs to power NVIDIA DLSS (Deep Learning Super Sampling)
• 192-bit memory interface
• 12GB of GDDR6 memory

 
Resizable BAR will be supported on the GeForce RTX 30 Series starting with the RTX 3060. When combined with a compatible motherboard, this advanced PCI Express technology enables all of the GPU memory to be accessed by the CPU at once, providing a performance boost in many games.

Like all RTX 30 Series GPUs, the RTX 3060 supports the trifecta of GeForce gaming innovations: NVIDIA DLSS, NVIDIA Reflex and NVIDIA Broadcast, which accelerate performance and enhance image quality. Together with real-time ray tracing, these technologies are the foundation of the GeForce gaming platform, which brings unparalleled performance and features to games and gamers everywhere.
 
NVIDIA DLSS: The AI Gift That Gamers Love
AI is revolutionizing gaming — from in-game physics and animation simulation to real-time rendering and AI-assisted broadcasting features. Powered by dedicated AI processors on GeForce RTX GPUs called Tensor Cores, NVIDIA DLSS boosts frame rates while generating beautiful, crisp game images and gives gamers the performance headroom to maximize ray-tracing settings and increase output resolutions. DLSS is available in more than 25 games, with more added every month.
 
NVIDIA Reflex and Broadcast: The Ultimate Play
NVIDIA Reflex technology reduces system latency (or input lag), making games more responsive and giving players in competitive multiplayer titles an edge over the opposition. NVIDIA Broadcast is a suite of audio and video AI enhancements, including virtual backgrounds, motion capture and advanced noise removal, that users can apply to chats, Skype calls and video conferences.
 
Advanced GeForce Experience Features
All NVIDIA GeForce GPUs benefit from GeForce Experience™, a tool used by tens of millions of gamers to optimize game settings, record and upload gameplay, stream gameplay, take screenshots, and download and install Game Ready® Drivers. The latest features include:
 

• One-click automatic GPU Tuning: GeForce Experience now supports GPU Tuning, which can automatically create overclocking profiles by using an advanced scanning algorithm.
• Enhanced in-game monitoring overlay: GeForce Experience’s already robust in-game overlay now adds performance stats, temperatures and latency metrics, including NVIDIA Reflex Latency Analyzer stats.

 
Where to Buy
The GeForce RTX 3060 will be available in late February, starting at INR 29,500, as custom boards — including stock-clocked and factory-overclocked models — from top add-in card providers such as ASUS, Colorful, EVGA, Gainward, Galaxy, Gigabyte, Innovision 3D, MSI, Palit, PNY and Zotac. Look for GeForce RTX 3060 GPUs at major retailers and etailers, as well as in gaming systems by major manufacturers and leading system builders worldwide.