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jason hardy

T2 · manager / operator

Jason Hardy leads storage technology at NVIDIA, focusing on transforming enterprise storage into AI-ready data platforms for agentic workloads. He presented at GTC Taipei 2026 on the convergence of storage, compute, and networking for AI factories.

6 calls·5 names·100% bull·last heard 2 months ago·NVIDIA
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$NVDANvidiaposition

Nvidia VP Storage outlines AI data platform strategy with Vera CPU and Bluefield-4 STX

Nvidia is co-designing a full-stack AI data platform — Vera CPU, Bluefield-4 STX, Rubin GPU, Spectrum-X networking — to transform enterprise storage from a system of record into a real-time AI data plane that prepares, indexes, and governs data at creation for agentic workloads.

NVIDIA2026-07episode →
2ndmedium conviction
$HPEHewlett Packard Enterprise

HPE embedding Nvidia AI data platform blueprints into storage systems

HPE has executed on Nvidia's AI data platform blueprints, embedding in-place AI data platform capabilities directly into their storage ecosystem to prepare data at creation for agentic AI readiness.

NVIDIA2026-07episode →
3rdmedium conviction
$NTAPNetApp

NetApp embedding Nvidia AI data platform blueprints into storage systems

NetApp has executed on Nvidia's AI data platform blueprints, embedding in-place AI data platform capabilities directly into their storage ecosystem to prepare data at creation for agentic AI readiness.

NVIDIA2026-07episode →

most discussed · click a bar to filter

  • $NVDA
  • $HPE
  • $NTAP
  • $IBM
  • $DELL

recurring themes

  • AI Infrastructure2
  • AI Agents2
  • Memory & Storage2
  • Data Center Infrastructure1
  • Semiconductors1
6 total
$NVDA
···
Nvidia
HIGHjason hardy·NVIDIA·2 months ago·Powering Agentic AI with AI-Ready Data Platforms That Turn Data Into Intelligence
Nvidia unveils Vera Bluefield-4 STX platform to power AI data platforms for agentic workloads
Nvidia is co-designing a full-stack storage platform — combining Vera CPU, Bluefield-4 DPU, Spectrum-X networking, and GPU acceleration — to transform enterprise storage into an AI data platform that prepares data at creation for agentic AI, with storage partners Dell, NetApp, IBM, HPE already embedding the blueprints.
"The NVIDIA Vera Bluefield-4 STX platform, our opinionated design of what storage looks like, benefits from all of those capabilities. It's the foundation for how we'll continue to…"
12:58
$NVDA
···
Nvidia
HIGHjason hardy·NVIDIA·2 months ago·Powering Agentic AI with AI-Ready Data Platforms That Turn Data Into Intelligence· position
Nvidia VP Storage outlines AI data platform strategy with Vera CPU and Bluefield-4 STX
Nvidia is co-designing a full-stack AI data platform — Vera CPU, Bluefield-4 STX, Rubin GPU, Spectrum-X networking — to transform enterprise storage from a system of record into a real-time AI data plane that prepares, indexes, and governs data at creation for agentic workloads.
"This is why we're extremely excited that Vera is here. You see, Vera was designed to take stuff off the wire — information, bits and bytes, packets, process it through, and then g…"
19:19
$HPE
···
Hewlett Packard Enterprise
MEDjason hardy·NVIDIA·2 months ago·Powering Agentic AI with AI-Ready Data Platforms That Turn Data Into Intelligence
HPE embedding Nvidia AI data platform blueprints into storage systems
HPE has executed on Nvidia's AI data platform blueprints, embedding in-place AI data platform capabilities directly into their storage ecosystem to prepare data at creation for agentic AI readiness.
"And that's what we're doing with our storage partners — the Dells, and the IBMs, the HPEs, and the NetApps — making this turnkey so that it's fully integrated in; it has all the n…"
27:17
$NTAP
···
NetApp
MEDjason hardy·NVIDIA·2 months ago·Powering Agentic AI with AI-Ready Data Platforms That Turn Data Into Intelligence
NetApp embedding Nvidia AI data platform blueprints into storage systems
NetApp has executed on Nvidia's AI data platform blueprints, embedding in-place AI data platform capabilities directly into their storage ecosystem to prepare data at creation for agentic AI readiness.
"So it's not just about an idea that we have, but that they've put this into execution — that Dell with their storage capability or a NetApp, or IBM, or the list goes on and on, ha…"
23:42
$IBM
···
International Business Machines
MEDjason hardy·NVIDIA·2 months ago·Powering Agentic AI with AI-Ready Data Platforms That Turn Data Into Intelligence
IBM embedding Nvidia AI data platform blueprints into storage systems
IBM has executed on Nvidia's AI data platform blueprints, embedding in-place AI data platform capabilities directly into their storage ecosystem to prepare data at creation for agentic AI readiness.
"So it's not just about an idea that we have, but that they've put this into execution — that Dell with their storage capability or a NetApp, or IBM, or the list goes on and on, ha…"
23:42
$DELL
···
Dell Technologies
MEDjason hardy·NVIDIA·2 months ago·Powering Agentic AI with AI-Ready Data Platforms That Turn Data Into Intelligence
Dell embedding Nvidia AI data platform blueprints into storage systems
Dell has executed on Nvidia's AI data platform blueprints, embedding in-place AI data platform capabilities directly into their storage ecosystem to prepare data at creation for agentic AI readiness.
"So it's not just about an idea that we have, but that they've put this into execution — that Dell with their storage capability or a NetApp, or IBM, or the list goes on and on, ha…"
23:42
9
AI Infrastructuretailwind
Enterprise storage evolving into real-time AI data platform for agentic workloads
Storage must shift from passive system of record to active AI data plane that ingests, cleanses, enriches, chunks, embeds, indexes, and governs data at the moment of creation — enabling agents to operate on accurate, real-time context rather than stale data.
9
AI Infrastructuretailwind
Enterprise storage must evolve from system of record to AI data platform for agentic AI
Agentic AI creates a new paradigm where storage must continuously prepare, index, govern, and serve multimodal data at creation time — not just store it — requiring co-designed compute, networking, and GPU acceleration inside the storage layer to feed agents at machine speed.
8
AI Agentstailwind
Agentic workloads demand 24/7 active data, blending structured, unstructured, and context at machine scale
Agents run long-running sessions (hours to years), consume data at GPU speed not human speed, blend SQL and PDFs, and generate persistent context (KV cache, memory, ontology) that must be governed, secured, and served in real time across hybrid environments.
8
AI Agentstailwind
Agentic AI creates 24/7 data consumption at machine speed, requiring new storage paradigms
Agents run long-running sessions (hours to years), blend structured and unstructured data, operate at machine speed far exceeding human interaction rates, and generate persistent context (KV cache, memory, embeddings) that must be stored, governed, and served in real time — fundamentally changing enterprise storage requirements.
8
Memory & Storagetailwind
New memory hierarchy G1-G4 plus G3.5 tier addresses KV cache bottleneck in AI factories
Nvidia defines a five-tier memory hierarchy (HBM=G1, system RAM=G2, NVMe=G3, high-perf storage=G4, enterprise storage=G4 extended) and introduces G3.5 as a cost-effective KV cache tier that sits between GPU memory and network storage, reducing recompute and boosting token throughput.
8
Memory & Storagetailwind
Nvidia introduces G3.5 memory tier for KV cache to boost token throughput in AI factories
A new storage tier (CMX) sits between GPU memory (G1/G2) and high-performance storage (G4) to offload KV cache, eliminating recompute on prefill/decode stages and scaling token output cost-effectively as AI factories grow.
8
Data Center Infrastructuretailwind
Extreme vertical and horizontal co-design across GPU, CPU, DPU, networking, and storage defines next-gen AI factories
Nvidia's Vera, Bluefield-4, Spectrum-X, and Rubin/RTX Pro GPUs are co-designed with storage partners (Dell, NetApp, IBM, HPE) to create turnkey AI data platforms where compute, network, and storage are integrated at the hardware and software blueprint level.
7
Semiconductorstailwind
Vera CPU and Bluefield-4 STX co-designed to accelerate storage and GPU data paths
Vera's 3x memory bandwidth and best-in-class single-thread performance — originally built to feed GPUs — directly benefit storage workloads; Bluefield-4 STX integrates Vera with storage acceleration engines, enabling the AI data platform at the hardware level.