Latest news with #Ampere
Hans India
6 days ago
- Hans India
How to Find the Best GPU for AI?
New Delhi [India], July 16: As artificial intelligence continues to reshape industries, the hunger for high-performance computing resources just keeps growing. And when it comes to powering AI innovation, one of the unsung heroes is the GPU VPS. From training those massive neural networks to running real-time inference that blows your mind, the GPU you choose literally shapes your entire AI pipeline. But let's be real, with so many models, specs, and VPS providers out there, figuring out the "best" GPU for AI can feel a bit tough. So, your first big step? getting a handle on the technical metrics and architectural advantages of what's on offer. GPU Architecture When you're sifting through GPUs for those demanding AI workloads, there are three critical elements you absolutely have to zero in on: tensor cores, CUDA cores, and memory bandwidth. These guys are the real muscle. Tensor cores, first popping up with NVIDIA's Volta architecture and continuously refined through the Ampere and Hopper generations, are specialized wizards at mixed-precision calculations (think FP16, BF16, INT8). They can dramatically slash your training times, which is a huge win. Then you've got CUDA cores, the general-purpose workhorses that determine how versatile your GPU will be across different frameworks. Bandwidth is often overlooked, but it can quickly become a bottleneck when you're training large models, especially with those hungry transformer architectures. For instance, the NVIDIA A100 boasts a whopping 2 TB/s of memory bandwidth. Here's a quick rundown of some leading GPUs: GPU Model VRAM CUDA Cores Tensor Cores Memory Bandwidth Ideal Use Case NVIDIA A100 40–80 GB 6912 432 1555 GB/s LLM training, multi-GPU setups RTX 4090 24 GB 16384 512 1008 GB/s Deep learning, generative AI RTX 3080 10–12 GB 8704 272 760 GB/s Model prototyping, DL training Tesla T4 16 GB 2560 320 320 GB/s Inference, low-power tasks RTX 3060 12 GB 3584 112 360 GB/s Entry-level experimentation Performance Benchmarks and Profiling Your AI Workload Before committing to a GPU VPS, it's crucial to test models with your specific AI workload. Real-world performance varies wildly based on model complexity and optimization. For example, CNNs for image classification behave differently than transformer-based architectures for natural language processing—it's like comparing apples and oranges! Forget raw core counts; FLOPS, memory latency, and inference throughput tell the real story. An RTX 4090 might have more CUDA cores than an A100, but its lower FP64 performance makes it less ideal for scientific AI, though it's a beast for generative tasks like GANs. See the difference? Profiling your workload with tools like NVIDIA Nsight or PyTorch's isn't just an option; it's a must-do. It'll pinpoint GPU utilization, highlight bottlenecks, and show how your model scales. Deployment Models Picking the best GPU for AI isn't just about raw power, but also how you deploy it. A GPU VPS offers sweet advantages: remote accessibility, elastic scaling, and less infrastructure overhead. But be smart—evaluate your provider's latency and virtualization overhead. Some GPUs shine in bare-metal configurations, while others excel in virtual environments using NVIDIA GRID and vGPU. For latency-sensitive apps, even slight virtualization overhead can impact performance. Look for PCIe Gen4 support and low I/O contention. Cost-wise, pricing scales with VRAM and GPU generation. A smart approach is to start with mid-range GPUs like the 3080 for inference, then step up to A100s or H100s for larger model training. It's all about playing it smart! Fresh GPU Insights A fascinating Cloudzy blog deep-dive recently showed how developers fine-tune AI by matching project scale with GPU architecture. It highlighted that memory bandwidth and tensor core utilization are often under-optimized due to poor GPU choices. For instance, an AI team saw their language translation's inference latency slashed by 35% by upgrading from a 3060 to a 3080 Ti, with minimal cost increase. This confirms that understanding workload demands beats just grabbing the most expensive GPU. Plus, Cloudzy's infrastructure offers pre-configured environments for TensorFlow, PyTorch, and JAX, meaning faster experimentation and iteration while keeping full control. Pretty neat, right? Wrapping Up To truly nail down the best GPU for your AI journey, look past brand names. Dive into architecture, workload requirements, and deployment contexts. Tensor core efficiency, memory bandwidth, and a scalable VPS infrastructure are your secret weapons for accelerating AI innovation without unnecessary costs. By dissecting your workload, benchmarking performance, and picking a GPU VPS that aligns with your strategy, you'll be in the best position to train, deploy, and optimize your AI models in today's competitive landscape. It's a bit of work, but trust me, it pays off big time!
Time of India
14-07-2025
- Automotive
- Time of India
Ampere unveils engineering underpinning its premium e-scooter Nexus
Ampere , the electric two-wheeler arm of Greaves Electric Mobility , through a behind-the-scenes video, has published detailed, technical insights about its Nexus electric scooter. The video covers the Nexus's dual cradle frame, lithium-ion phosphate (LFP) battery, Battery Management System (BMS), and the rugged suspension setup. With this, Ampere has become one of the first Indian electric vehicle manufacturers to transparently showcase its research and development (R&D), internal testing, and validation protocols. Tested across more than 50,000 km of real-world and lab conditions, the Nexus has been engineered to meet the rigorous demands of Indian commuters, particularly urban families. Ampere's engineering and product teams, in the video, highlighted key performance pillars such as ride quality, thermal management, and chassis durability, supported by teardown-level technical evidence. 'We wanted to move beyond just marketing claims and show the actual work behind our engineering,' said a senior Ampere official. 'The Nexus is not just built for today — it's built for India's next generation of mobility.' The Ampere Nexus , launched earlier this year, marks the brand's foray into the premium family e-scooter segment, positioning itself as a high-performance yet practical offering in a competitive EV market. Ampere, the electric two-wheeler arm of Greaves Electric Mobility, through a behind-the-scenes video, has published detailed, technical insights about its Nexus electric scooter. The video covers the Nexus's dual cradle frame, lithium-ion phosphate (LFP) battery, Battery Management System (BMS), and the rugged suspension setup. With this, Ampere has become one of the first Indian electric vehicle manufacturers to transparently showcase its research and development (R&D), internal testing, and validation protocols. Tested across more than 50,000 km of real-world and lab conditions, the Nexus has been engineered to meet the rigorous demands of Indian commuters, particularly urban families. Ampere's engineering and product teams, in the video, highlighted key performance pillars such as ride quality, thermal management, and chassis durability, supported by teardown-level technical evidence. 'We wanted to move beyond just marketing claims and show the actual work behind our engineering,' said a senior Ampere official. 'The Nexus is not just built for today — it's built for India's next generation of mobility.' The Ampere Nexus, launched earlier this year, marks the brand's foray into the premium family e-scooter segment, positioning itself as a high-performance yet practical offering in a competitive EV market.
Time of India
14-07-2025
- Automotive
- Time of India
FAME fallout hits EV makers; Tête-à-tête with TCS CEO
FAME fallout hits EV makers; Tête-à-tête with TCS CEO Also in the letter: Smaller EV players wiped out after FAME red flag Sales tailspin: Okinawa Autotech: Annual sales crashed from 31,618 units in 2023 to 4,855 in 2024. Just 1,422 units have been sold till July this year. Annual sales crashed from 31,618 units in 2023 to 4,855 in 2024. Just 1,422 units have been sold till July this year. Ampere Vehicles (owned by Greaves Electric Mobility): Combined registrations under Ampere and Greaves fell to 26,963 units in 2025 so far, down from 36,148 in 2024 and 66,958 in 2023. Combined registrations under Ampere and Greaves fell to 26,963 units in 2025 so far, down from 36,148 in 2024 and 66,958 in 2023. AMO Mobility: Has sold just 25 vehicles in 2025. Has sold just 25 vehicles in 2025. Benling India: Only 95 vehicles were registered this year. Only 95 vehicles were registered this year. Hero Electric: Sales fell off a cliff—from 29,965 units in 2023 to 2,916 in 2024, and just 382 so far in 2025. The company is now undergoing insolvency proceedings. The issue: The issue: Refunds and resistance: Also Read: Market shift: Unfair to call TCS a one-trick pony: CEO Krithivasan Reason why: 'Not a one-trick pony': A new hope: Also Read: Sponsor ETtech Top 5 & Morning Dispatch! Why it matters: The opportunity: Reach a highly engaged audience of decision-makers. Boost your brand's visibility among the tech-savvy community. Custom sponsorship options to align with your brand's goals. What's next: Amazon Prime Day boosts sales across categories, but smartphones lag Uptick in sales: Growth from last year: Tariff impact: Keeping Count Other Top Stories By Our Reporters Tata Tech doubles down on auto software: Devanahalli farmers propose price for tech park land: Global Picks We Are Reading Happy Monday! Electric two-wheeler makers are reeling from the FAME subsidies crackdown. This and more in today's ETtech Morning Dispatch.■ Prime Day power-up■ Tata Tech priorities■ Devanahalli protestsElectric two-wheeler makers penalised for violating the Faster Adoption and Manufacturing of Electric Vehicles (FAME-II) subsidy norms are now reeling , with several smaller players fading fast from the collapse follows the ministry of heavy industries pulling the plug on subsidies after audits found several firms flouting localisation rules under the Phased Manufacturing Programme (PMP), part of the FAME-II. The government demanded refunds, with total clawbacks pegged at Rs 469 Greaves, and AMO Mobility have collectively returned Rs 170 crore. Others, including Hero Electric, Okinawa, and Benling, have taken the legal the non-compliant firms struggle, the spotlight has shifted to the bigger players. TVS Motor, Bajaj Auto, Ola Electric, and Ather Energy have expanded their grip on the segment, backed by robust supply chains and far greater consumer trust.K Krithivasan, CEO, TCSTata Consultancy Services (TCS) chief executive K Krithivasan has pushed back against suggestions that the company is a 'one-trick pony', after the software giant reported a third straight quarterly decline in dollar revenue. Speaking to ET in a post-results interview, Krithivasan said the slowdown was a result of a mix of factors in an unpredictable company is struggling with sluggish spending from aviation and retail clients, while the confusion in the EV space has also hit the auto sector hard. Clients, Krithivasan added, were focusing on programmes that reduce costs. While international revenue has stayed flat, domestic revenue also took a hit following the end of the BSNL however, doesn't make TCS overly reliant on one account. BSNL contributed only $1 billion to TCS's $30 billion revenue. Calling this out to call TCS a one-trick pony is a 'disservice', Krithivasan said. The company is proud of what it did with BSNL, but it has many other projects as well, and is not losing market share, he expects international business to rebound this year. TCS is now counting on a refreshed services strategy, leaner leadership, and AI to turn this Top 5 and Morning Dispatch are must-reads for India's tech and business leaders, including startup founders, investors, policy makers, industry insiders and Reach out to us at spotlightpartner@ to explore sponsorship flagship Prime Day sale, exclusive to its Prime members, delivered a significant boost for brands across electronics, beauty and personal care, home and decor, and sellers reported a three- to fourfold jump in sales compared to last year's event, thanks to deep discounts and aggressive surge was particularly sharp for Solara, a home and kitchen brand. Founder and CEO Gopal Kolli said the company clocked five to six times its usual sales on the first day alone, doubling last year's Prime Day figures. 'With all the quick commerce, we weren't sure how it would perform, but it surprisingly did very well,' he analysts echoed the momentum. 'Across categories, we're seeing almost a two-to-threefold increase in both traffic and order volumes,' said Satish Meena, adviser at ecommerce consultancy Datum Amazon said the US edition (July 8-11) was its biggest Prime Day ever. Still, the event saw relatively muted discounting, with several brands opting out due to the tariff pressures triggered by policies under US President Donald accounted for 12.5% of all TV viewing time in the United States in May, while Netflix accounted for 7.5%, according to a Nielsen report. (Source: NYT Tata Technologies is increasing its focus on software-defined vehicle (SDV) offerings as global automakers shift research and development (R&D) priorities from mechanical components to software and electronics to promote in-car protesting farmers of Devanahalli have offered to sell their 450 acres to the government for a proposed high-tech park, on the condition that they receive Rs 3.5 crore per acre.■ 24 hours with Alexa Plus: we cooked, we chatted, and it kinda lied to me ( The Verge ■ Metadata shows the FBI's 'raw' Jeffrey Epstein prison video was likely modified ( Wired ■ Supporting mission-driven space innovation, for Earth and beyond ( MIT News
Reuters
10-07-2025
- Automotive
- Reuters
Renault unit launches EV industry investment fund with Chinese partners
BEIJING, July 10 (Reuters) - Renault's ( opens new tab electric vehicle business Ampere signed a deal on Thursday with Chinese partners, including CICC Capital PE, in China's eastern city of Hangzhou to launch an EV industry investment fund. The fund will focus on batteries, smart driving, smart cockpits and embodied intelligence, among other cutting-edge fields, the French automaker said in a statement. The size of the fund was not disclosed.
Yahoo
10-07-2025
- Automotive
- Yahoo
Renault unit launches EV industry investment fund with Chinese partners
BEIJING (Reuters) -Renault's electric vehicle business Ampere signed a deal on Thursday with Chinese partners, including CICC Capital PE, in China's eastern city of Hangzhou to launch an EV industry investment fund. The fund will focus on batteries, smart driving, smart cockpits and embodied intelligence, among other cutting-edge fields, the French automaker said in a statement. The size of the fund was not disclosed. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
