Financial Services

GPU infrastructure built for the speed and compliance demands of finance.

Cerio.ai delivers isolated GPU partitions with deterministic sub-millisecond latency, cryptographic workload boundaries, and complete compliance audit trails — purpose-built for trading, risk analytics, and quantitative research.

The Problem

Standard GPU infrastructure cannot meet financial-grade requirements.

Trading firms and risk teams operate under constraints that general-purpose cloud GPUs were never designed to satisfy: latency measured in microseconds, regulators demanding verifiable isolation, and burst risk compute needs that spike unpredictably around market events.

Market latency erodes alpha

Every microsecond of compute delay is a competitive disadvantage. Shared GPU infrastructure introduces unpredictable latency spikes when co-tenants compete for memory bandwidth — risk your trading edge on infrastructure you don't fully control.

Compliance requirements demand verifiable isolation

Regulators require demonstrable separation between workloads handling client data, proprietary models, and execution logic. Generic multi-tenant clouds cannot produce the cryptographic audit trail your compliance team needs.

Burst risk compute strands capital

End-of-day risk aggregation and stress testing require sudden GPU bursts that idle most of the time. Owning dedicated hardware for peak demand means paying for capacity you use fewer than four hours a day.

The Cerio.ai Solution

Isolated GPU partitions for trading workloads that cannot afford to lose.

Cerio.ai partitions physical GPUs into cryptographically isolated compute units. Each partition runs with pinned memory bandwidth and dedicated NUMA affinity — eliminating the latency variance that plagues shared infrastructure and giving compliance teams a verifiable boundary for every workload.

Firms run their latency-critical execution engines on reserved partitions and burst risk compute on dynamically allocated capacity — paying only for what they consume, with all workload events written to an immutable audit log.

Talk to a solutions architect
Isolated GPU partitions guarantee dedicated bandwidth for latency-sensitive trading engines
Memory encryption keys are unique per workload — no cross-partition data exposure
Automated capacity scaling integrates with risk system job schedulers
Signed allocation events export to Splunk, Chronicle, or any CEF-compatible SIEM
SLA-backed latency guarantees with real-time alerting on deviation

Measured Outcomes

Results financial services firms see with Cerio.ai.

0.3ms

Deterministic compute latency for trading workloads

100%

Compliance audit trail coverage, every workload

40%

CapEx reduction versus dedicated GPU infrastructure

12×

Burst capacity headroom over baseline reservation

Platform Capabilities

Every capability your risk and trading teams require.

Sub-millisecond compute latency

Cerio.ai allocates GPU partitions with NUMA-aware pinning and dedicated memory bandwidth. Trading algorithms and real-time risk engines run with deterministic latency — no noisy-neighbor jitter.

Cryptographic workload isolation

Each partition is bounded by hardware-enforced memory encryption and access controls. Your execution models and client data never share address space with another tenant's workload.

Burst capacity on demand

Reserve a lean baseline for steady-state inference; expand to 12× peak capacity for end-of-day VAR runs and stress simulations. Burst slots are pre-warmed and activate in under 200 milliseconds.

Compliance audit trail

Every GPU allocation, memory transfer, and workload boundary event is cryptographically signed and exported to your SIEM. Audit-ready logs satisfy MiFID II, SEC Rule 17a-4, and internal risk governance frameworks.

Get Started

Ready to give your trading infrastructure a competitive edge?

See how Cerio.ai delivers the latency, isolation, and auditability your financial workloads demand — without the CapEx of dedicated hardware.