THE APEX TIMES
The memory and storage conference will feature ScaleFlux CEO Hao Zhong alongside Jason Hardy, NVIDIA’s VP of Storage Technology, as the industry pushes to keep AI training and inference fed with data.
ScaleFlux said its CEO and co-founder, Hao Zhong, will deliver a keynote at Future of Memory and Storage (FMS) 2026 together with Jason Hardy, NVIDIA’s vice president of Storage Technology. The announcement positions the session around how memory and storage approaches can help scale AI data pipelines, a theme that has grown in importance as AI workloads demand faster, more reliable movement of large datasets.
The planned keynote is expected to connect ScaleFlux’s data and pipeline focus with NVIDIA’s storage and infrastructure perspective, reflecting a broader push across the AI stack to reduce bottlenecks between where data is stored and where it is processed. In AI systems, pipeline performance is often gated not only by model compute but also by how quickly training or inference jobs can load and stage data.
ScaleFlux’s statement, carried by Yahoo Finance, ties the FMS 2026 session to “memory solutions” intended to support scaling AI data flow. While the company did not provide additional technical specifications in the brief report, the framing suggests the discussion will address architectural or platform-level needs for feeding AI systems at scale, especially in data-center environments.
NVIDIA’s presence indicates that the industry’s memory and storage conversation is increasingly linked to large-scale AI infrastructure. As a supplier of GPUs and related platforms, NVIDIA has repeatedly emphasized that performance in AI depends on the entire data path, not just raw compute, and the participation of its storage technology leadership aligns with that wider focus.
More broadly, conferences like FMS have become a forum for companies to spotlight how memory hierarchies and storage mechanisms affect system-level throughput. For AI, that can include tradeoffs among capacity, latency, and bandwidth, as well as the operational reliability required when workloads run continuously and at high utilization.
The announcement does not disclose details such as the exact format of the keynote, any named product roadmap, or specific metrics the presenters will cite. It also does not specify whether ScaleFlux and NVIDIA are jointly launching an interoperability initiative, integrations, or research work as part of the event.
For readers, the main takeaway is the pairing itself: a data-pipeline-oriented company putting its CEO on stage with NVIDIA storage leadership at a memory and storage industry gathering. That combination suggests the conversation will likely revolve around practical, system-level ways to improve the speed and consistency of data delivery to AI workloads.
What to watch next is whether ScaleFlux follows the event with a fuller technical briefing or reference architecture explaining how its approach interacts with storage and memory components, and whether NVIDIA provides additional context on storage-related priorities in its AI platform strategy around FMS 2026.
A new investor note ties Alphabet’s plan for rising AI investment to the pricing of data-center suppliers, arguing that the market may not be fully reflecting longer-term capacity and infrastructure needs.
Investors reacted sharply after Intel provided a fourth-quarter revenue outlook that came in below expectations, even as the company cited unusually strong demand for its data center/server processors.
Alphabet’s stock has fallen about 19% over the past month, after a third-quarter update that investors read as a sign that Search momentum is cooling and that cash generation deteriorated.
Investors are bracing for Palantir Technologies’ next quarterly update, with the company scheduled to deliver results after the market close on Monday.
A new market piece argues Meta’s sales could expand markedly by 2030, but also highlights why the share price may rise more slowly than revenue. The gap between operating growth and market valuation is the central theme.
Speaking amid renewed scrutiny over whether Apple is falling behind in consumer AI, CEO John Ternus pushed back on the idea that the iPhone maker needs to race competitors to launch AI features, arguing for a more selective approach.
A coming inflation print and the December Federal Reserve meeting could quickly reshape rate expectations, a swing that tends to hit long-duration growth stocks such as Microsoft.
A market-news analysis points to growing frictions among AI players and hyperscalers, suggesting that the web of partnerships and dependencies around Anthropic may not be as smooth as investors hope ahead of a public offering.
After another market downturn, investors looked to U.S. economic outlines and political catalysts, with Apple and Palantir among the tech names in the spotlight.
A market commentary argues Intel’s latest step into shipping on its most advanced manufacturing process could drive a longer-term re-rating, pointing to last year’s backing from the U.S. government and major technology partners.