AI Chips and GPU Servers
AMD takes aim at enterprise AI with PCIe-based Instinct GPUs
AMD hopes to win over enterprise AI customers with a more affordable datacenter GPU that can drop into conventional air-cooled servers. Announced on Thursday, the MI350P is the
At GTC 2026, NVIDIA, AWS, and Google Cloud Shift Focus from Chips to AI
NVIDIA, Amazon Web Services, and Google Cloud used GTC 2026 to make a broader point about the AI market: the race is no longer only about who has the most advanced chips, but
AMD''s next-generation AI chips set to power 2026 data center growth
AMD (NASDAQ: AMD) is set to launch its MI400-series AI accelerators in 2H 2026. Analysts expect the rollout to drive significant growth, with data-center revenue projected to surge 73%, fueled by strong
Top 25+ AI Chip Makers: NVIDIA & Its Competitors
These servers deliver universal acceleration for AI, design, engineering, and business applications, supporting workloads like multimodal AI inference, physical AI, and digital twins on the
GPU servers for AI: ways to access GPU compute
AI models need massive computing power, and GPUs have become the backbone for training and inference. This article explains what GPU servers are, why they matter for AI and how
Nvidia Blackwell, Google TPUs, AWS Trainium: Comparing top AI
Custom ASICs, or application-specific integrated circuits, are now being designed by all the major hyperscalers, from Google''s TPU to Amazon''s Trainium and OpenAI''s plans with
NVIDIA HGX Platform
The NVIDIA HGX™ platform brings together the full power of NVIDIA GPUs, NVIDIA NVLink™, NVIDIA networking, and fully optimized AI and high-performance computing (HPC) software stacks to provide
CPU requirements for AI workloads are multiplying, driving intensifying
CPU requirements for AI workloads are multiplying, driving intensifying shortages and price hikes — Intel already shifting production from consumer chips to Xeon as inference workloads
Agentic AI Changes the CPU/GPU Equation
Agentic AI is driving demand for entirely new racks of CPU servers that sit alongside GPU infrastructure and run to power the work of all these agents. For enterprise IT leaders, there is a
NVIDIA GPU Servers for AI, Inference, Training, HPC
With the power of NVIDIA H200, H100, A100, B200, B300, RTX PRO 6000 Blackwell GPUs, you can quickly and easily train your models and get real-time results. Plug and play setup that takes you
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