Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
Intel faces mounting execution risks as Nvidia's GTC 2026 announcements deepen competitive threats in CPU-based AI compute. Intel's limited role in Nvidia's Vera CPU roadmap and delays in their custom ...
Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced Marvell® ...
(NASDAQ: SMCI), a Total IT Solution Provider for Cloud Computing, AI/ML, Storage, and 5G/Edge, today unveiled its upcoming system portfolio powered by the NVIDIA Vera Rubin platform. As data centers ...
Deal summary Gaming enthusiasts can secure $550 off the Alienware Aurora desktop featuring NVIDIA’s RTX 5060 Ti graphics card and Intel’s latest Core Ultra 7 processor. The combination of 32GB DDR5 ...
NVIDIA has used its latest GTC keynote to lay out a vision for the future of AI infrastructure, unveiling the new Vera Rubin ...
This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.
New, industry-first hardware-assisted test automation capabilities enable faster, earlier detection of cache‑coherency and subsystem‑level bugs for maximum coverage ...
Vera Rubin is a generational leap — seven breakthrough chips, five racks, one giant supercomputer,” said Jensen Huang.
NVIDIA today announced the NVIDIA Vera Rubin platform is opening the next frontier of agentic AI, with seven new chips now in full production. They are: the NVIDIA Vera CPU, NVIDIA Rubin GPU, NVIDIA ...
(NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, today unveiled one of the industry's first context memory (CMX) storage server as part of NVIDIA STX reference ...
The platform combines CPUs, GPUs, networking, interconnect, and data processing technologies into a unified system for large-scale AI workloads.