Open systems, from the radio to the GPU.

Notes from NextG Systems LLC on building open, programmable, and secure systems, in software-defined wireless and AI infrastructure.

  1. A tensor accelerator in PolarFire fabric, 81× over the board's own CPUs

    Apache TVM's VTA running in PolarFire SoC fabric: 49 GOPS across ResNet-18's convolution layers at 84 % of the array's theoretical peak, driven from Linux on the RISC-V cores with no kernel module. Plus the one PolarFire-specific RTL requirement that porting VTA depends on.

  2. Conformant Is Not Performant: What OpenFlow Can Teach O-RAN

    If you were in networking when OpenFlow arrived, O-RAN should feel familiar. Data center networking eventually got openness right with SONiC. Here's what wireless can learn from that, and where the analogy breaks down.

  3. Slicing an NVIDIA GPU between tenants who don't trust each other

    How we divide one NVIDIA GPU's memory and compute between gVisor sandboxes: quotas in the Sentry, a broker in the open kernel driver, and a credit scheduler that a tenant can't game by forking.

  4. Why Now: Open Source, AI, and Open Hardware Meet NextG Wireless

    Wireless is about to go through the same transformation data center networking went through a decade ago. We saw it coming, and we're building for it.

  5. Stop asking, start predicting: SAGE cuts 5G uplink latency by 2.5×

    Our SIGCOMM 2026 paper with EPFL: a real-time AI system at the gNB that predicts when and how much a phone will send, and grants the uplink before it asks.

  6. A 5G cell on an M.2 card: bringing up the LiteX M2SDR with OCUDU

    What it took to run an OCUDU gNB on an open-source AD9361 SDR with a commercial phone attached: hardware-timed TX, sample-exact RX timestamps, and a TX DMA that finally behaves like a FIFO.