Filter

×
Active Filters Clear All
Keyword: memory ×
129 Total Reports
2/7 Page
ARM Other 2026-06-23

Arm servers capture >45% data center revenue, x86 ecosystem under AI-driven assault

IDC reports Q1 2026 global server revenue hit a record $122.6B, with Arm-based servers capturing >45% share (x86 at 52%). Accelerated servers (GPU/ASIC/FPGA) generated >70% revenue. Nvidia's Grace CPU (NVL72) and hyperscaler custom Arm chips drive the shift; x86 still leads in unit volume but faces supply constraints.

NVIDIA Other 2026-06-23

Nvidia Vera Rubin CPU: 10-Wide Core Redefines CPU for Agentic Computing

At GTC Taipei 2026, Nvidia unveiled the Vera Rubin CPU with a custom 10-wide fetch/decode/execute pipeline, claiming world-leading IPC and bandwidth. Designed for agentic computing, it complements Nvidia GPUs. Nvidia also announced a partnership with Microsoft to reinvent the PC as a Personal AI and committed to returning 50% of free cash flow to shareholders.

Anthropic Other 2026-06-22

Micron-Anthropic Deal: Memory Co-Architecture Locks in AI Supply Chain

Micron and Anthropic sign a strategic agreement covering joint memory/storage architecture design, multi-year supply, Claude adoption, and investment. This ties frontier AI model demands directly to infrastructure design, aiming to optimize token economics and power efficiency, but essentially locks in supply and restructures the ecosystem.

NVIDIA Other 2026-06-22

Dell PowerEdge XE8812: Liquid-Cooled Density Trap with NVIDIA Vera Rubin NVL4

Dell launches PowerEdge XE8812 with NVIDIA Vera Rubin NVL4, delivering 144 GPUs per rack, 300kW+ power, and 100% direct liquid cooling. It offers a generational leap in memory and compute density for HPC and AI, but deeply locks users into Dell's PowerRack, iDRAC, and ORv3 ecosystem from chip to rack.

NVIDIA Other 2026-06-22

NVIDIA JUPITER Validates Grace Hopper: Exascale Science Goes Production

Europe's first exascale supercomputer JUPITER, powered by NVIDIA Grace Hopper Superchips and Quantum-X800 InfiniBand, achieves breakthroughs in brain mapping at cellular scale, 1km-resolution climate simulation, 6G AI, and 50-qubit quantum simulation, proving exascale is production-ready.

AMD Other 2026-06-18

AMD MEXT Acquisition Turns NAND Flash into DRAM-Class Memory, Halving AI Inference Cost

AMD acquires MEXT, whose technology makes cheap NAND flash behave like expensive DRAM, doubling to quadrupling usable memory capacity while halving costs. This targets inference and agentic AI memory bottlenecks. AMD also signs a 30MW AI compute deployment deal with Rackspace, rolling out from 2026 to 2028.

AMD Other 2026-06-18

AMD Silently Drops TSME from Consumer Ryzen: Security Segmentation Locks Enterprise Users

AMD quietly removed Transparent Secure Memory Encryption (TSME) from consumer Zen 5 Ryzen CPUs, reserving it exclusively for Ryzen PRO series. The change, effective from AGESA 1.2.7.0, is hard to detect on Windows but visible on Linux. This security feature segmentation pushes enterprise buyers toward higher-priced PRO SKUs.

AMD Other 2026-06-17

AMD Mustang Peak Threadripper: 144 cores, PCIe 6.0, TR6 socket – Power and memory challenges loom

AMD's Zen 6 Threadripper 'Mustang Peak' is confirmed with 2nm TSMC process, DDR5, PCIe 6.0, and a new TR6 socket. Using Powderhorn CCDs, it scales to 144 cores (288 threads) with clocks above 6 GHz. However, massive power draw and memory bandwidth demands (possibly requiring MRDIMM) raise platform cost concerns.

NVIDIA Other 2026-06-17

NVIDIA RTX Remix 1.5: RTX IO Shrinks Game Sizes, AI Agents Reshape Modding

NVIDIA releases RTX Remix 1.5, featuring RTX IO compression that slashes Half-Life 2 RTX from 80GB to 50GB and reduces CPU overhead. The update also introduces AI agent integration via 'RTX Remix Skills,' allowing AI coding agents to automate complex modding tasks, lowering the barrier for non-programmers.

Google Cloud Other 2026-06-17

ASUS Launches NVIDIA GB300 Deskside AI Supercomputer, Shifting Control from Cloud to On-Prem

ASUS launches the ExpertCenter Pro ET900N G3, powered by NVIDIA's GB300 Grace Blackwell Ultra Desktop Superchip, delivering 20 PFLOPS and 748GB of coherent memory for near-trillion parameter models. Concurrently, Coherent expands InP fab in Texas for optical interconnects, and NVIDIA plans a $20-25B debt offering, signaling a systemic shift of AI control from cloud to localized enterprise hardware.

Google Cloud Other 2026-06-17

Google Cloud Embeds Legal Verifiability into AI Agents via SPIFFE and Kakunin

Google Cloud introduces SPIFFE-based Agent Identity for Gemini Enterprise and Vertex AI, then overlays Kakunin's compliance layer to map internal SPIFFE identifiers to X.509 certificates generated in AWS KMS, with all state changes committed to WORM audit logs. This converts secure cloud workloads into legally auditable market participants to meet EU AI Act and MiCA accountability mandates.

Cisco Other 2026-06-17

Cisco AI Defense Adds Agent Harness Red Teaming for Agentic AI Security

Cisco introduces Agent Validation in AI Defense: Explorer Edition, a dedicated red-teaming capability for agentic AI systems. It autonomously probes agent harness attack surfaces, including tool routes, indirect content channels, and persistent state, providing verified findings beyond chat-based security assessments.

AMD Other 2026-06-17

AMD MLPerf 6.0: MI350 GPUs Achieve 3.5x Leap with MXFP4, Debut Multi-Node Training

AMD submitted its most comprehensive MLPerf Training 6.0 results, including first multi-node training (FLUX.1 on 512 GPUs) and MXFP4 training recipe. MI355X delivers 3.5x generational leap over MI300X on Llama 2-70B, within 5% of NVIDIA B200. 10 ecosystem partners validated reproducibility.

NVIDIA Other 2026-06-16

NVIDIA Blackwell Sweeps MLPerf: NVLink and NVFP4 Redefine AI Training Economics

NVIDIA Blackwell dominates MLPerf Training 6.0, submitting across all seven benchmarks including MoE workloads. GB300 NVL72 delivers up to 1.6x faster training than GB200, with fifth-gen NVLink unifying 72 GPUs as one giant GPU. NVFP4 low-precision training and massive scale (8,192 GPUs) set new industry standards.

NVIDIA Other 2026-06-16

HBM Bottleneck Reshapes AI Infrastructure: Asian Memory Makers Gain Leverage Over Nvidia

SK Hynix, Samsung, and Micron have crossed $1 trillion market cap as HBM becomes the hard limit in AI infrastructure. Asian suppliers now account for 90% of Nvidia's production costs, shifting the bottleneck from GPU compute to stacked memory and advanced packaging.

AMD Other 2026-06-16

AMD and Rackspace Deploy 30MW Governed AI Stack: Ecosystem Restructuring from Silicon to Outcomes

AMD and Rackspace sign a definitive agreement to deploy 30MW of AMD AI compute (Instinct GPUs including MI355X, EPYC CPUs) across Rackspace's data centers, creating a governed enterprise AI stack with single accountability from silicon to outcomes, targeting regulated industries.

AMD Other 2026-06-16

AMD Ryzen 10000 Series to Swap iGPU for NPU: AI Boost at Cost of Basic Display

Leaks suggest AMD's next-gen Zen 6 desktop CPU 'Olympic Ridge' will replace the integrated GPU with an NPU, targeting >40 TOPS for Copilot+ AI PC certification. It also upgrades the client I/O die to support CUDIMM/CAMM and EXPO 1.2 for faster DDR5. The trade-off boosts local AI but forces nearly all users to rely on a discrete GPU for basic display.

AMD Other 2026-06-15

AMD Acquires MEXT: AI-Predicted Flash Nears DRAM Performance to Cut AI Memory TCO

AMD acquires MEXT, an AI-driven memory optimization startup. MEXT's predictive technology makes NAND Flash behave like DRAM, expanding effective memory capacity for AI workloads and lowering TCO. The tech will be integrated across AMD's data center portfolio (EPYC, Instinct) to address memory bottlenecks in large models.

AMD Other 2026-06-15

AMD Open-Sources AI Software Stack on Vultr, Taking on NVIDIA CUDA Ecosystem

AMD launches a suite of open-source, modular enterprise AI software components on Vultr Marketplace, including AMD Inference Microservices (AIMs), AI Workbench, Resource Manager, and Solution Blueprints. This aims to provide production-grade AI infrastructure without vendor lock-in, directly challenging NVIDIA's CUDA ecosystem.

NVIDIA Other 2026-06-15

NVIDIA Bets on World-Action Models: Control Shifts from VLM to Video Backbones

NVIDIA's blog introduces World-Action Models (WAMs) as a paradigm shift from VLM-based VLAs. WAMs leverage pretrained video/world-model backbones to jointly predict future states and robot actions, aiming to bridge the language-to-action grounding gap. This could redefine robot foundation model training but raises concerns about inference cost and latency.