Speed
Sub-millisecond Response
Process data at the source for instant decisions without network delays or cloud latency.
Run AI on the edge where data is created – Localized AI
Run your AI agent where data is created — not in a distant server. Brane boards and workstations deliver fast local inference, with predictable power and quiet operation. Powered by the AccelOne SDK, you get a single toolchain to orchestrate CPUs, GPUs, DPUs, and FPGAs — ready on day one.
Why Brane
Deploy AI where it creates the most value
Bring AI processing closer to your data. Brane platforms deliver intelligent processing directly at the edge—beside sensors, manufacturing lines, and critical systems—for faster decisions, predictable costs, and complete data control.
Efficiency
Superior Performance per Watt
Purpose-built accelerators deliver maximum throughput within tight power and thermal budgets.
Reliability
Always-On Operations
Local processing ensures continuous operation during network outages or connectivity issues.
Control
Your Data Never Leaves
Keep sensitive information secure on-premises with predictable TCO and no cloud dependencies.
How We Do It
From components to deployment, Brane handles the details
Delivering real AI at the edge takes more than raw hardware. We combine carefully selected accelerators, full-system integration, and trusted partnerships into platforms that are validated, supported, and ready to deploy—so you can focus on applications, not infrastructure.
Curated Components
CPUs, GPUs, DPUs, and FPGAs chosen for performance per watt and workload fit. Every component validated for edge deployment.
Assembled & Tested
Integrated systems validated through burn-in testing and thermal profiling. Ships ready to run from day one.
Pre-installed SDK
AccelOne SDK provides unified development across all processors. Build, debug, and deploy without complex toolchain setup.
Trusted Partnerships
Direct collaboration with AMD, Kalray, and Xilinx ensures long-term support and access to latest innovations.
Edge-Optimized Design
Quiet acoustics, predictable power consumption, and reliable thermals designed for office and field environments.
Engineering Support
Direct access to Brane experts for integration assistance, performance tuning, and proof-of-value projects.
Partners & Providers
Strategic partnerships with AMD and Kalray, plus trusted providers such as Exxact, ensure our platforms are supported, reliable, and future-proof for production deployments.
Highlights
Complete edge AI platforms — hardware, software, and support
Quantum Core — HX-9000
High-throughput deskside system for training and on-prem serving without datacenter complexity.
- CPU: AMD Ryzen Threadripper
- GPU: AMD Instinct MI210 (up to 3 total)
- Options: Kalray TC4 DPU, Xilinx FPGA
- Memory: 128–512 GB DDR5
Cyber Core — HX-3000
Office-ready compute with predictable power for agentic workflows and local inference.
- CPU: Intel Core i9
- GPU: NVIDIA RTX 4070 or RTX 5000
- Accelerator: Kalray TC4 or Xilinx FPGA
- Memory: 64–256 GB DDR5
PowerEdge Platform
Edge AI solution that processes data on the field for instant decisions and reliable operation.
- CPU: AMD AI CPU with integrated GPU
- DPU: Kalray Coolidge processor
- FPGA: Versa AI for custom algorithms
- Expansion: Dual M.2 connectors
Kalray TC4
Many-core DPU for streaming data and pipeline acceleration with deterministic performance.
- Processors: Quad MPPA3-80 Coolidge
- Optimized: Tokenization, codecs, vector ops
- Role: Offload CPU/GPU, boost efficiency
- Integration: Linux, containerized workflows
AccelOne SDK
Unified development environment for multi-accelerator systems with integrated toolchains.
- Toolchains: ROCm, CUDA, MPPA, FPGA flows
- Languages: C/C++, Python with containers
- Platform: Linux-first, IntelliJ integration
- Access: Developer program available
Proven Applications
HPC in your office — and at the edge
This is what’s running today. Together with AMD and Kalray, we’ve deployed open-source LLMs, Ollama stacks, and agentic pipelines on Brane workstations — then pushed the same containers to Brane Boards for field use.
Deskside AI Systems — what we’ve run
Datacenter-class throughput in a workstation form factor, used for daily development and operations.
LLMs on-prem: We have deployed Ollama and Qwen-2.5 on Brane systems for local inference and tooling
Agentic AI for live sports: We built and field-tested agents that watch live events and provide real-time commentary (“player X shoots,” “great save”) on Brane workstations
Multi-accelerator pipelines: Proven coordination of GPU + MPPA® offload (tokenization, packing, codecs) across different compute units
Measured efficiency: We recorded lower wall-plug power vs. traditional multi-GPU servers for equivalent workloads
Edge Deployment — what’s in the field
The same containers move to Brane Boards with no toolchain drift — deterministic latency and predictable power at the edge.
Seamless transition: Models developed on workstations run identically on edge hardware
Agentic at the edge: MPPA® many-core architecture handles parallel agent steps, I/O staging, and stream processing with deterministic performance for edge deployment
Lower latency: On-site inference removes round-trip delays; partners observed faster end-to-end responses vs. cloud paths
Same stack: Containerized builds and runners from the AccelOne SDK — no rebuilds, no environment drift