AI Computing
Powerful distributed compute for AI developers and enterprises — supporting大规模 machine learning training, model fine-tuning, and real-time inference at 60-80% lower cost than traditional cloud providers.
Training Services
Distributed training with PyTorch, TensorFlow, and other major frameworks, automatically scheduled across global GPU nodes. Supports single-node multi-GPU and multi-node distributed training for LLM fine-tuning and diffusion model training.
Inference Services
High-performance inference via vLLM and llama.cpp, supporting Llama 3, Mistral, Qwen, and other leading open-source models. Token-based billing with elastic scaling for production-grade AI deployments.
For Requestors
Complete task lifecycle management for AI compute buyers. Submit tasks through the TaskMarket contract, lock ECT tokens, choose proof types — fully traceable and verifiable. Supports ZK zero-knowledge proofs, TEE trusted execution, and Hybrid verification modes.
For Workers
One-stop node onboarding, task matching, and reward settlement for compute providers. Supports heterogeneous devices including PCs, servers, and edge devices. Plug and mine — earn ECT tokens proportional to your contribution.
- One-click onboarding script with auto hardware detection
- Intelligent task matching for optimal compute utilization
- Real-time earnings dashboard tracking compute contribution
- Reputation system — higher quality work earns higher rewards
Verification & Settlement
Attestors participate in PoRW probabilistic redundancy consensus and cross-validation to maintain network honesty. Ethercoin's Trusted Compute Escrow contract ensures payments are released only upon correct task completion.
Enterprise Integration
Custom integration services including private cluster onboarding, hybrid cloud deployment, and data security compliance. Supports AWS Nitro Enclaves, Intel SGX, and other TEE environments for finance and healthcare privacy requirements.
GPU VRAM Expansion
Upgrade an NVIDIA RTX 5090 from 32GB to 96GB of VRAM. Run 230B-class large language models on a single card at roughly 25–48% of the cost of a 96GB workstation GPU such as the RTX PRO 6000.
Send-In Service
USD 4,500 per card, return shipping included. Ship your RTX 5090 to our Malaysia facility, where we replace the 16× 2GB GDDR7 modules with 32× 3GB GDDR7 modules on a custom dual-sided PCB, flash a validated VBIOS, and fit a turbine cooler. Turnaround is 12–15 business days after receipt. Every card passes GPU-Z VRAM detection, 4+ hours of MATS/MODS stress testing, and a real inference test with vLLM or Ollama before it ships back.
On-Site Expansion
USD 4,900 per card for fleets of 1,000 cards or more. Our BGA engineering team travels to your warehouse with pre-assembled PCBAs and performs the core transplant and memory soldering on site, at a throughput of 15–20 cards per day. Cards remain your property throughout, with double cross-checked QA on every unit.
- 32GB → 96GB single-card VRAM using 3GB GDDR7 modules
- Validated VBIOS with driver-compatibility tracking
- Stability and real-workload inference QA on every card
- Send-in (1–50 cards) or on-site (1,000+ cards) engagement models