For decades, the technology industry lived and breathed by the cadence of a few select “can’t-miss” events. We remember the peak of COMDEX, the frenzy of early Macworlds, and, most importantly for the silicon world, the Intel Developer Forum (IDF). […]
The post The Coming AI Storm and Why AMD’s coming July Event Is the New Industry North Star appeared first on TechSpective.
MRC (Multipath Reliable Connection) is a new open networking protocol developed by OpenAI in partnership with AMD, Broadcom, Intel, Microsoft, and NVIDIA that improves GPU networking performance and resilience in large-scale AI training clusters by spreading packets across hundreds of paths simultaneously, recovering from network failures in microseconds, and enabling supercomputers with over 100,000 GPUs to be built using only two tiers of Ethernet switches.
The post OpenAI Introduces MRC (Multipath Reliable Connection): A New Open Networking Protocol for Large-Scale AI Supercomputer Training Clusters appeared first on MarkTechPost.
Zyphra releases ZAYA1-8B, a reasoning Mixture of Experts model with only 760M active parameters that outperforms open-weight models many times its size on math and coding benchmarks — closing in on DeepSeek-V3.2 and surpassing Claude 4.5 Sonnet on HMMT'25 with its novel Markovian RSA test-time compute method. Trained end-to-end on AMD Instinct MI300 hardware and released under Apache 2.0, it sets a new standard for intelligence density in the small language model weight class.
The post Zyphra Releases ZAYA1-8B: A Reasoning MoE Trained on AMD Hardware That Punches Far Above Its Weight Class appeared first on MarkTechPost.
QyTw0, the Finnish AI lab founded by former AMD Silo AI CEO Peter Sarlin, is now valued at €325 million (approximately $380 million) after raising a €25 million angel round ($29 million). It's a sign of enduring tailwinds for AI, quantum computing, and sovereign tech, especially for Europe-made companies.
The ongoing shift from generative AI (genAI) to agentic AI provides an opportunity for enterprises to move to more nimble and less expensive forms of computing, according to analysts.
Early AI models were largely built on expensive GPUs from Nvidia and AMD that offered raw processing power. But newer agentic AI tools, rooted in business process and workflow management, can run on more efficient, cost-effective hardware.
As a result, IT decision-makers who still think they require GPUs for anything AI-related need to reconsider their hardware options in terms of both cost and capabilities, analysts said.
“A better way of thinking about this is the cost of AI compute and now agentic AI platform services or systems,” said Leonard Lee, principal analyst at Next Curve. “’AI computing’ or ‘accelerated computing’ has clearly transcended the GPU as an inference accelerator.”
The new hardware options include CPUs and specialized AI chips, also known as ASICs in semiconductor parlance. Although
PARIS, April 16, 2026 – Today, AMD and representatives of the French government announced plans to deepen collaboration in support of France’s National Strategy for AI, aimed at accelerating local […]
The post AMD and French Government Announce Plans to Advance AI Innovation, Research and Open Ecosystem Development appeared first on AIwire.
For years, the technology industry has operated under the shadow of a single, green-tinted giant. NVIDIA, through a combination of visionary leadership and the early realization that GPUs were the secret sauce for parallel processing, effectively “owned” the AI market […]
The post The Sleeping Giant Wakes: Why AMD’s MLPerf Breakthrough Signals the Beginning of the End for NVIDIA’s AI Monopoly appeared first on TechSpective.
The history of the PC is littered with “revolutionary” features that ended up being little more than expensive paperweights. We’ve seen it with 3D screens, we’ve seen it with dedicated social media buttons, and lately, we’ve been seeing it with […]
The post HP IQ: Finally, an AI PC That Actually Does Something Useful for the Enterprise appeared first on TechSpective.
