PHASE 04CONTACT + COLLABORATION

Start with the technical problem worth solving.

Cerebral Chips welcomes focused conversations about edge-AI workloads, architecture, software enablement, verification, and open engineering.

DIRECT CHANNELS

No form, tracking funnel, or intermediary is required

01CHOOSE A CHANNEL

Write to the closest technical context.

Each address reaches a distinct conversation path. A short, concrete introduction is enough to start.

01
GENERALhello@cerebralchips.com

Company questions, updates, and general introductions.

02
COLLABORATIONcontact@cerebralchips.com

Technical collaboration across workloads, software, architecture, and validation.

03
FOUNDER + TECHNICAL PARTNERSHIPSfounder@cerebralchips.com

Founder conversations, research alignment, and technical partnerships.

02 / USEFUL CONTEXT

Help the first reply reach the substance.

  1. 01The workload, model family, or system constraint you are exploring
  2. 02Where the current software or hardware path becomes limiting
  3. 03The evidence, platform, or artifact already available
  4. 04What a useful first technical exchange would establish
03 / COLLABORATION AREAS

Where technical conversations can connect.

  • Quantized inference workloads
  • RISC-V vector and matrix execution
  • Compiler and runtime enablement
  • Memory-aware architecture modeling
  • RTL and verification methodology
  • Reference platforms and open tooling
SOCIAL CHANNELSReserved for verified company profiles.

Links for GitHub, LinkedIn, X, and YouTube will be added after official company profiles are confirmed.

04 / FREQUENTLY ASKED

Before you reach out.

01What is Proton LPU?

A planned RISC-V-based accelerator architecture for quantized transformer and language-model inference.

02Can I use the hardware now?

No. Proton LPU-E0 is currently in the architecture and research phase.

03Is Cerebral Chips publishing repositories yet?

Not yet. Repositories will be linked only after scope, ownership, licensing, build instructions, and validation status are ready for public review.

04What kinds of collaboration are relevant?

Focused technical work around edge-AI workloads, quantized inference, compiler and runtime enablement, RISC-V execution, architecture modeling, RTL, verification, and reference platforms.

05Are benchmark results available?

No public benchmark results are currently presented. Any future result must include its workload, configuration, method, system boundary, and limitations.

06Where will company social links appear?

The website reserves space for verified company profiles. Placeholder URLs are not published.

START HERE

Every machine should think.

Tell us what the machine needs to do where it operates.

Start a conversation