One machine, six parts

The whole is the point.

Big tech splits the computer across companies and calls it "innovation." I design every layer against the same spec — so they fuse instead of fighting. Here is each part.

Part 01 · silicon

Processors that share one brain.

BradChip fuses CPU, GPU, NPU and the custom BradFusion fabric on a single package. BradXon is the flagship processor — its Adaptive Neural Fabric adapts the machine to the workload by partitioning the die, reconfiguring the NPU dataflow, and steering power and clock. It reallocates budget, not silicon: it never re-forms the silicon itself.

Both speak to a unified memory pool through one fabric — no PCIe-style borders between CPU world and GPU world.

  • BradChip: P8+E8 CPUs · Torox GPU · 1024-core NPU cluster
  • BradXon: ANF — compute partitions + a reconfigurable NPU + a fabric governor
  • One fabric: BradFusion across every die
BradChip tierCPUGPUNPU
LiteP2+E4BradFx 10256
StandardP4+E4BradFx 30384
UltraP6+E4BradFx 50512
EliteP8+E4BradFx 70768
MaxP8+E8BradFx 901024
Part 02 · the GPU

Every GPU. One instruction set. A "Torox" die name.

The BradVector engine is the shader/compute core at the heart of every Torox GPU — from integrated BFT100 to flagship BGT100 to datacenter BAT100. Ray tracing and on-chip AI accelerators sit beside it.

Write a kernel once; it is the same ISA on a phone GPU and a datacenter accelerator. That is the entire point of a coherent ecosystem.

  • One ISA: BradVector, dual-issue SIMT, 32-thread warps
  • Die registry: BGT / BFT / BAT, generation in the number
  • Ray tracking (BradRT) + Neuro-Stream AI cores on-die
TOROX G1 SILICON DESIGNED ISA SHIPPED
DieRoleNeuro-StreamGen
BGT100BradGfx — dedicated128→512G1
BFT100BradFx — integrated32→192G1
BAT100BradApex — datacenterper specG1
Part 03 · memory

The end of "video RAM" vs "system RAM."

BradRAM + SPMP make one unified memory pool. The GPU reads and writes it natively on the fabric — it is not the guest in someone else's PCIe lane. A controller-side L4 SRAM assistant cache keeps AI weights hot, and the GPU's own "Infinity Buffer" is real on-die render SRAM.

  • SPMP: gigabytes of unified LPDDR, one pool
  • BradRAM: JEDEC LPDDR5X dies + a Brad controller (DDS prefetch, L4 SRAM, inline encryption)
  • Zero-copy between CPU, GPU and NPU
Memory tierWhat it serves
BradRAM L4Controller-die SRAM — AI weights, hot data
SPMPUnified DRAM — everything
Infinity BufferGPU SRAM — render reconstruction
BradSec-RAMEncrypted-at-rest memory regions
Part 04 · systems software

An operating system, and a driver that rules them all.

BradOS runs across Mobile, Slate, Compute and Nano editions. One Kinetic Unified Driver manages SPMP, the fabric, power and memory across all Brad silicon — there is no driver zoo to refresh.

OS · DESIGNED

BradOS Gen 1

Homegrown, from Mobile to Compute. Built against one hardware line — no legacy baggage, no annual churn. 7-year OS updates, 13-year hardware support.

DRIVER · DESIGNED

Kinetic Unified Driver Target

Vulkan 1.4, DirectX 12 Ultimate, Metal 3, SYCL 2020. One stack to rule the whole fabric's hardware.

TOOLCHAIN · SHIPPED

BradVector platform Live

Assembly, bytecode, interpreter, debugger, profiler — the CUDA-analog platform, real and executing today. The performance culture ships before the chip does.

Part 05 · products

Where the ecosystem lands.

Every product is an instance of the same architecture — that is what makes the whole greater than the parts.

every name on this page — one row, one honest receipt →

BradMatrix

GEN 1

Laptop line built on BradChip and BradOS — from Essential to Ultra, sharing every component with the ecosystem.

  • Same fabric family as phones
  • BradSlate, BradMatrix, Compute

BradOS Compute

GEN 1

Workstations and servers around BradChip Max / BradXon — the same OS as the phone in your pocket, on a datacenter rack.

  • One OS, every scale
  • One driver stack everywhere

BradAxis

GEN 1

The console. A Torox GPU in a box you sit in front of — ecosystem shader math, no porting from mobiles.

  • BradGfx Max-class GPU
  • Same shader math, everywhere

One spec ties all six parts together.