compute more.
use less.

Diffent Labs is building scientific computing infrastructure to make advanced computing more accessible and affordable across South America through reusable hardware, renewable energy, and retryable workloads.

The mission is simple: reduce waste, reduce cost, and give researchers, students, universities, and independent builders a practical path to run simulations, models, and experiments without hyperscale cloud economics becoming the barrier.

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// use less is not a slogan about scarcity. It is a design rule: use less excess, less waste, and fewer unnecessary layers between an idea and an experiment.

Why this exists

A lot of strong research moves slower than it should, not because the ideas are weak, but because access to compute is expensive, uneven, or wrapped in too much infrastructure overhead.

Diffent Labs exists to lower that barrier and give more researchers the freedom to experiment, iterate, and pursue ideas that might otherwise remain unexplored.

The operating model

Diffent Labs is built around three practical infrastructure choices: reuse capable hardware, run on clean energy where possible, and design workloads around checkpoints and retries instead of expensive uptime theater.

Reusable

Second-life GPUs, servers, networking, and storage can extend hardware lifespan while reducing capital intensity and e-waste.

Renewable

Renewable energy resources across South America create a strong foundation for clean, cost-disciplined scientific computing infrastructure.

Retryable

Science is iterative. Experiments can pause, resume, and retry as grid power capacity becomes available, without relying on large backup generators or stored-power systems.

Platform

Mendoza, Argentina is undergoing a significant expansion of renewable generation, particularly solar. The province is targeting roughly 700 MW of renewable capacity, adding substantial new generation to the regional grid.

That energy transition creates a strong foundation for Diffent Labs to make a meaningful impact — close to universities and researchers, with growing access to renewable power and a natural path to expand across South America.

01

Control layer

User access, orchestration software, scheduling logic, governance, and research partnerships.

02

Renewable compute pilot

Clean-energy execution for checkpointed GPU, CPU, and batch research workloads.

03

Recovery-first design

Queues, checkpoints, and retries reduce dependence on expensive redundancy-first infrastructure.

04

Reinvestment loop

Operating surplus maintains systems, expands capacity, and lowers access barriers for researchers.

Architecture

Mendoza, Argentina serves as the initial research and orchestration hub, while renewable compute zones can be added wherever energy, infrastructure, and research demand make sense.

Researchers & Builders Universities Independent labs AI / scientific workloads ORCHESTRATION & RESEARCH HUB diffent labs control plane Routing • Scheduling • APIs User portal • Auth • Billing / grants Dataset staging • Governance Research partnerships • Platform IP Always remains the intelligence layer Mendoza Local Compute Small initial GPU/CPU layer Interactive notebooks Priority / stable workloads PARAGUAY — FIRST RENEWABLE COMPUTE ZONE Low-cost execution layer Checkpointed jobs Retryable GPU workloads Renewable hydro-powered compute FUTURE COMPUTE ZONES Renewable expansion Hydro / solar / wind regions Cheaper energy locations Same orchestration layer Data & Results Dataset staging Job artifacts Model checkpoints Research outputs submit jobs stable jobs dispatch retryable jobs scale out results/checkpoints metadata + outputs

Founder

Sanjay Varma is a technology professional with over a decade of U.S. industry experience, including his most recent role as a researcher associated with the U.S. Department of Energy’s National Renewable Energy Laboratory (NREL).

Alongside building Diffent Labs, he is continuing advanced studies in datacenter management to deepen hands-on understanding of modern compute facility design, energy efficiency, reliability standards, cooling systems, and large-scale infrastructure operations.

linkedin / sanjayvj

Impact metrics

2–4 yrstargeted additional hardware lifespan via second-life GPU reuse
~50%estimated cost reduction vs. AWS/GCP for interruptible research workloads
South Americaresearch partnerships and renewable compute expansion across the region
Designedfor interruptible research workloads
100%renewable energy target for all compute execution zones

Partnership

Diffent Labs is interested in partnerships with universities, research institutions, enterprises, and hardware resellers that want to extend the useful life of capable compute infrastructure.

Universities

Retired GPU clusters, HPC nodes, storage systems, and research infrastructure that can continue supporting scientific workloads.

Research labs

Collaborations around surplus equipment, pilot projects, shared infrastructure, and affordable compute access.

Hardware partners

Resellers, recyclers, and enterprise IT teams looking for responsible second-life destinations for compute assets.

Roadmap

Phase 1 in progress
Establish the initial base in Mendoza, Argentina, build university and research partnerships, refine the platform specification, and begin regional outreach. — started Q1 2026
Phase 2
Build a proof-of-concept control layer and validate scheduling, checkpointing, and retry workflows.
Phase 3
Deploy the first renewable compute pilot in Mendoza and connect it to the orchestration layer.
Phase 4
Onboard researchers, students, open-source builders, and institutions through ultra-low-cost pilot access.
Phase 5
Secure second-life GPU and server partnerships with universities, labs, cloud providers, and enterprises.

Request access

If you are part of a university, lab, research group, or independent technical project and need compute access, start a direct conversation.