DARPA Wants Memory That Survives Deep Space and a Reactor Core: The $1.2M Direct-to-Phase-II NVM Topic Closing August 19

July 11, 2026 · 6 min read

Granted Research Team · Editorial policy

Most memory chips die quietly. Leave a commercial NOR Flash part in the cold of deep space, or bolt it near a reactor core, or fly it through the radiation belts, and it will corrupt, latch up, or simply stop holding a charge. That failure mode is one of the quiet constraints on everything the United States wants to do in space, in nuclear energy, and in strategic defense — and DARPA has just put $1.2 million on the table to fix it. The Non-Volatile Memory for Extreme Environments topic — DPA26BZ04-DV017 — asks small businesses to deliver a co-packaged, temperature-hard, radiation-tolerant NOR Flash memory system that keeps working from -269°C to +600°C. It opened July 22 and closes August 19, 2026, and its structure tells you almost everything about who it is really for.

Direct-to-Phase-II is the headline, not the money

The specification that matters most is not the dollar figure. It is the phrase Direct-to-Phase-II (DP2). There is no Phase I feasibility study here, no $150,000 warm-up, no six months to sketch an approach and see if it holds. DARPA is skipping straight to the build, and it is doing so deliberately, because the agency does not believe this is a problem you can start from a blank page and solve in a proposal cycle.

DP2 topics come with a gate that most SBIR solicitations do not: you must document that you have already done Phase-I-equivalent work. For this topic, that means concrete evidence — initial hardware demonstrations of the proposed memory technology, plus simulated or experimental data validating feasibility across the temperature and radiation envelope. In plain terms, DARPA is asking to see a chip, or at minimum defensible silicon-level data, before you apply. A team that reads this topic on July 22 and decides to enter the rad-hard memory business is not a candidate. A team that has been grinding on extreme-environment non-volatile memory for years and has the wafers to prove it is exactly the intended audience.

This is the single most important strategic fact about the topic. The four-week window from open to close is not really four weeks of work — it is four weeks to package years of prior work into a credible DP2 proposal. If you have that prior work, the timeline is tight but achievable. If you don't, no amount of proposal effort closes the gap, and the honest move is to note the topic for a future cycle and start building the evidence base now.

What the specs actually demand

The technical bar is worth reading closely, because it explains why the field is small.

Every one of those requirements is individually achievable by someone in the rad-hard semiconductor world. The difficulty — and the reason DARPA is paying for it — is meeting all of them in one co-packaged system. Radiation hardening usually costs you temperature range; extending temperature range usually costs you density or endurance. The topic is a request to stop trading these against each other.

Why this is a national-capability problem, not a gadget

It is tempting to read an extreme-environment memory topic as niche. It is the opposite of niche — it is infrastructure for three national priorities at once.

Space. Every satellite, deep-space probe, and lunar or Martian system needs non-volatile memory that holds state through thermal cycling and cumulative radiation without the mass penalty of heavy shielding. Shielding is weight, weight is launch cost, and inherent radiation hardness is how you buy performance back. As U.S. space activity scales — commercial constellations, cislunar logistics, defense assets in higher orbits — memory that survives without a lead box becomes a throughput constraint on the whole enterprise.

Nuclear energy. The new generation of advanced reactors and the sensors that monitor them need electronics that function in heat and radiation fields where commercial parts fail. Memory that survives near a core enables instrumentation and control systems that today have to be placed at a distance, cabled, and shielded.

Strategic defense. DARPA frames the underlying challenge as the "memory wall" — the point at which processing speed is bottlenecked by how fast and how reliably you can reach memory. In resilient military computing, that wall is worse, because the environment is actively hostile. Radiation-hardened, high-temperature memory is a prerequisite for high-performance computing that keeps running through exactly the conditions it is designed to operate in.

A single 32Mb prototype is not the point. The point is a domestic capability to manufacture memory that does not exist commercially at this envelope — and to keep that capability inside U.S.-owned, U.S.-controlled companies.

Eligibility and the export-control reality

The baseline SBIR rules apply, plus one that carries real weight here:

How a qualified team should sequence the next four weeks

If you have the prior hardware work, here is the realistic path from now to August 19:

  1. Assemble the feasibility evidence first. The DP2 gate is prior demonstration. Before writing narrative, marshal your existing hardware results, radiation test data, and temperature characterization into the documentation package that proves you belong in a Phase II. If that package is thin, the proposal cannot rescue it.
  2. Write the technical volume around the trade you have solved. Reviewers know radiation hardness and temperature range fight each other. The winning proposal names that tension explicitly and shows, with data, how your approach holds both without collapsing density or endurance.
  3. Make the 32Mb Phase II path concrete. DARPA wants ten packaged units and a fabrication process, not a lab curiosity. Show the manufacturing route from your current demonstration to deliverable prototypes.
  4. Resolve export control and U.S.-control questions up front. These are pass/fail items. Do not leave them as an afterthought in the final days.

The Non-Volatile Memory for Extreme Environments topic is one of the more honest DP2 solicitations of the cycle: it tells you plainly that it is looking for a team that already exists, already has silicon, and already understands why this is hard. For the small number of companies that fit that description, $1.2 million and a 24-month runway to a national-capability deliverable is closing on August 19, 2026 — and the clock started the day it opened.

For DARPA's other Direct-to-Phase-II topic this cycle, see Granted's deep dive on the FALCON ML/LLM fusion topic. For every federal small-business deadline in one place, see the SBIR & STTR Deadlines 2026 guide.

Get AI Grants Delivered Weekly

New funding opportunities, deadline alerts, and grant writing tips every Tuesday.

Browse all DARPA grants

More DARPA Articles

DARPA's FALCON Topic Skips Phase I Entirely: $1.5M Direct-to-Phase-II for Fusing LLMs With Classical ML, Closing August 19

DARPA's FALCON SBIR topic (DPA26BZ04-DV016) is a Direct-to-Phase-II award worth $1.5 million to teams that can marry the statistical rigor of classical machine learning with the contextual reach of large language models. It opened July 22 and closes August 19, 2026. Here is why the no-Phase-I structure changes who can win, what the hallucination-mitigation requirement really demands, and how a small team should sequence a proposal in under four weeks.

Read article

DARPA's CyPhER Forge Wants to Cut Defense Test Points by 10x with a Real-Time Digital Twin and an AI Test Agent. Oral Proposals Are Due June 15.

DARPA-PS-26-04, published February 25, 2026 by the Tactical Technology Office, restructures the contract around three phases — Phase 0 Backbone (6 months), Phase 1 Base (12 months), Phase 2 Option (18 months) — and culminates in an instrumented flight-test campaign. The solicitation is not really about T&E. It is about the digital-twin and uncertainty-quantification middleware DoD needs for any AI-enabled combat system.

Read article

DARPA MATHBAC: Why the Defense Sciences Office Is Paying $2M to Rebuild Agentic AI on Mathematical Foundations the Rest of the Field Skipped

DARPA's Mathematics of Boosting Agentic Communication program — DSO-led, $2M Phase I cap, abstracts already in, full proposals due June 16, 2026 — is the first federal initiative to treat multi-agent AI communication as a mathematical object rather than a product feature. The Mendeleev-rediscovery benchmark in the solicitation is the tell.

Read article

Not sure which grants to apply for?

Use our free grant finder to search active federal funding opportunities by agency, eligibility, and deadline.

Find Grants

Ready to write your next grant?

Draft your proposal with Granted AI. Professional members win a grant in 12 months or get a full refund.

Backed by the Granted Guarantee