Cloud vs on‑prem debate hardens
Industry panels and recent analysis argue on‑prem colocation still wins for ultra‑latency workloads while cloud excels at analytics and burst GPU capacity — the pragmatic pattern is hybrid: core execution on‑prem, simulations and training in cloud. Conversations are sharpening into explicit 'latency budgeting' frameworks and workload‑placement matrices that firms are already adopting. ( )
Flexera’s 2026 State of the Cloud found 63% of organizations now have formal FinOps teams and 71% operate a Cloud Center of Excellence, signaling enterprises are moving from simple lift-and-shift to governed hybrid strategies. (flexera.com) Industry how‑to guides and vendor scorecards are formalizing “latency budgeting” and workload‑placement matrices that score steady‑state I/O, data gravity, and jitter tolerance to decide colo vs. cloud placement. (datastorage.com) Practitioners’ scorecards explicitly flag “high steady‑state + high data movement + licensing friction” as a triad that favors colo/on‑prem placements for predictable microsecond and sub‑microsecond workloads. (netrio.com) Exchange and HFT vendors continue to push hardware determinism: firms advertise FPGA cards and in‑rack FPGA acceleration for ITCH/OUCH parsing and sub‑microsecond order decisions, and market players offer FPGA‑based hosting in colocation racks. (dgway.com)(instinet.com) Kernel‑bypass stacks (DPDK, AF_XDP, RDMA and vendor TCP offloads such as Solarflare OpenOnload and Mellanox VMA) are being used to shave microseconds off market‑data ingest and NIC‑to‑app paths, with DPDK implementations cited as operating in the range of tens of CPU cycles per packet. (databento.com)(tradervps.com) Public cloud vendors are countering with purpose‑built low‑latency offers and elastic accelerator capacity: AWS documents EC2 P4d instances (NVIDIA A100) for ML training and EC2 Capacity Blocks that can reserve up to 512 GPUs in UltraClusters for tightly‑coupled ML training. (aws.amazon.com)(docs.aws.amazon.com) TCO and contract mechanics are clearing the path to hybrid: recent analyses recommend five‑year TCO models that include egress and peering, while cloud and colo vendors tout placement economics where heavy east‑west traffic and predictable steady loads tip the balance back to colocation. (databank.com) Cloud providers and exchange vendors are publishing prescriptive architectures for trading workloads—Google Cloud and AWS both describe optimized stacks for digital exchanges—making the next phase a contest of SLAs, colocated hardware options (FPGA/NICs), and whether RFPs embed explicit latency budgets in contract terms. (cloud.google.com)(aws.amazon.com)
