ART Cache-Resident Rate Limiting Available for CPU and GPU
Up to 95% reduction in rate-limiting
infrastructure overhead.
The Legacy Trap
Every rate limiter you know was designed for CPUs that can't keep up. You've been told to accept the trade-offs. Here's why that's wrong.
The Legacy Trap
"Just add more Redis nodes"
Cost scales linearly with traffic. By 1B requests/month, you're paying $280k/year just to say "yes" or "no."
"20ms latency is acceptable"
Your entire API response takes 50ms. Rate limiting adds 40% overhead. Users feel the lag. Engineers shrug.
"Use cloud WAF, let them scale it"
Vendor lock-in. Data leaves your network. Pricing tiers force you to overpay. You lose control.
"Eventual consistency is fine"
Fintech rejects this. Trading systems reject this. You're told to trust probabilistic filters that guess wrong 1% of the time.
"Sharding is the only way"
More nodes = more network hops = more latency. Your "distributed" system is a distributed mess.
Result: Infrastructure that costs more than the problem it solves.
Linespeed Standard
One instance replaces your cluster
50M+ ops/sec on CPU, 100M+ on GPU. No sharding. No replication. No cluster coordination hell.
Microsecond decisions
2,000x faster than Redis. Cache-resident architecture on CPU (L2/L3) or GPU (HBM).
Deploy in your VPC
Data stays in your network. Air-gapped deployment for compliance. No vendor can cut you off or raise prices.
99.99% accuracy guarantee
Strict mode with 0.0001% false positive rate. Fintech-grade precision. Mathematical proof included.
Cache-resident = instant lookup
Entire decision state fits in cache. Parallel processing across cores or SMs. No network. No serialization.
Result: Rate limiting faster than your network latency.
You've been conditioned to accept slow, expensive, eventually-consistent rate limiting because distributed systems add unavoidable overhead.
Cache-resident architecture eliminates it. That changes everything.
Cache-Resident Rate Limiting
ART fits the entire decision framework in cache—L2/L3 on CPU, HBM on GPU. Binary comparison at cache speeds turns a cluster problem into a single-instance solution.
One instance handles what previously required dozens of Redis nodes. Microsecond decisions. Linear scaling. Deploy in your VPC—your data never leaves your infrastructure.
Choose Your Platform
Same algorithm. Same API. Different hardware targets. Pick the version that fits your infrastructure.
ART CPU
L2/L3 Cache-Resident
Best for: Teams without GPU infrastructure, or when rate limiting runs on separate nodes from GPU workloads.
ART GPU
HBM-Resident
Best for: All-GPU pipelines where rate limiting runs on the same GPU as inference. Eliminates PCIe round-trips.
Both versions share the same API and configuration. Switch platforms without code changes.
Core Capabilities
Microsecond Latency
Rate decisions in single-digit microseconds. L2/L3 cache-resident architecture eliminates RAM access overhead.
Massive Throughput
Handle traffic spikes without degradation. Multi-core CPU scaling delivers 50M+ ops/sec on standard instances.
Your Infrastructure
Deploy in your VPC. Data never leaves your network. Full control over your rate-limiting logic.
Flexible Algorithms
Token bucket, sliding window, custom rules. Configure the algorithm that fits your use case.
How It Works
Three stages. Cache-resident AMQ lookups. Binary compare at CPU speeds.
Ingest
Requests arrive and are instantly batched. No queuing. No waiting. Optimized for throughput from the first byte.
Process
CPU cores evaluate thousands of requests in parallel. L2/L3 cache lookups. Binary compare decision-making at nanosecond speeds.
Decide
Allow, deny, or throttle—returned in microseconds. Your services stay protected. Your users stay unblocked.
Built For Scale
API Rate Limiting
Protect SaaS APIs from abuse without adding latency. Handle millions of decisions per second.
LLM API Throttling
Fair-use enforcement for token-expensive AI endpoints. Prevent runaway costs from abusive clients.
Trading System Controls
Microsecond-precision throttling for order flow. Protect against flash crashes and runaway algorithms.
DDoS Mitigation
Handle traffic floods without service degradation. CPU parallelism absorbs attack volume.
Not 10% faster. 10x faster.
Measured performance at 1B requests/month scale. Your current solution is the benchmark.
| Solution | Ops/Sec | P99 Latency | Annual Cost* | Scalability |
|---|---|---|---|---|
| NGINX | 5M | 50ms | $180k | Linear (add servers) |
| Redis Cluster | 10M | 20ms | $280k | Exponential (shards) |
| Cloudflare WAF | 10M | 20ms | $200k+ | Managed (vendor lock) |
| Voxell ART | 50M | <10μs | $75k | Flat (single device) |
*Estimated TCO for 1B requests/month. Redis costs based on Redis Enterprise Cloud pricing for HA shards at scale. Latency figures from published benchmarks. Your costs may vary.
Production-Ready Infrastructure
Deploy rate limiting at scale. In your VPC. Fixed annual pricing.
CPU License
L2/L3 cache-resident rate limiting for standard infrastructure
- ✓ 50M+ ops/sec throughput
- ✓ Sub-10μs latency
- ✓ Standard cloud instances
- ✓ Deploy in your VPC
GPU License
HBM-resident rate limiting for all-GPU pipelines
- ✓ 100M+ ops/sec throughput
- ✓ Sub-1μs latency
- ✓ Zero CPU-GPU transfer
- ✓ Same-GPU as inference
Ready to Deploy?
Request evaluation license. Deploy in 24 hours via AWS Marketplace AMI.