DriveNets, AMD Publish MI350 AI Blueprint Claiming 5% Higher Throughput
Updated
Updated · HPCwire · Jul 23
DriveNets, AMD Publish MI350 AI Blueprint Claiming 5% Higher Throughput
3 articles · Updated · HPCwire · Jul 23
Summary
DriveNets released a validated reference architecture for AI clusters built on AMD Instinct MI350 GPUs and its AI Fabric, alongside a deployment guide covering design, rollout and tuning.
Benchmarking on MI355X clusters showed about 5% higher throughput and 10% to 15% lower time to first token than publicly available industry results, with sub-20 millisecond inter-token latency and at least 50 output tokens per second per user.
Resiliency tests found stable collective-communication performance under concurrent RDMA traffic and transient link disruptions, with no observable fabric recovery delays.
The companies said the architecture is meant to support open, multi-vendor AI infrastructure across training and inference, while improving GPU utilization and lowering cost per token.
AMD's recent participation in DriveNets' $410 million Series D round and a new joint lab for proof-of-concept testing underscore a broader push to win production AI and NeoCloud deployments.