VERIFIED BENCHMARKS

3.7µs
Full broadcast pipeline

96 microservices. One Rust binary. Five modules execute in a single tick — wagering sync, AI Director, ABR segmentation, deepfake detection, and DRM licensing — in 3.7 microseconds.

Tested on Apple M4 Max (16 cores, 128GB) · Release mode · cargo test --release

8.3M
ops/sec sustained
5-second sustained throughput test
13,513x
headroom at 20Hz
AI Director budget: 50ms. Used: 3.7µs
170
nanoseconds per segment push
ABR HLS segment registration

Per-Module Latency

Every module benchmarked individually. All numbers are per-operation, single-threaded, release mode with full compiler optimizations.

ABR Segment Push
Register HLS segment
170ns
0.2µs
AI Director Tick
Score 4 cameras + cut decision
182ns
0.2µs
Deepfake Score
Submit + rolling avg + alert check
507ns
0.5µs
QoE Beacon
Viewer quality tracking
828ns
0.8µs
Wagering Event
PTS-sync game metadata push
1,132ns
1.1µs
DRM License
Widevine license issuance
1,170ns
1.2µs
DASH MPD
Full MPD manifest generation
1,843ns
1.8µs
HLS Master Playlist
6-variant M3U8 generation
2,661ns
2.7µs
Full Pipeline
5 modules per tick
3,700ns
3.7µs

Bar widths scaled relative to 10,000ns (10µs). Full pipeline runs wagering event push + AI Director tick + ABR segment + deepfake score + DRM license in sequence.

Why These Numbers Are Impossible on Other Platforms

Every other streaming platform is a distributed microservice architecture. Each module call is a network hop.

Typical Microservice Architecture
Wagering event → Kafka~2ms
Kafka → Director service~5ms
Director → Layout service (gRPC)~1ms
ABR → segment store (S3)~10ms
DRM → license server (HTTP)~15ms
Total~33ms
V100 Single Binary Architecture
Wagering → memory (same process)1.1µs
Director → score + decide (same thread)0.2µs
ABR → push segment (RwLock)0.2µs
Deepfake → submit score (same memory)0.5µs
DRM → issue license (HMAC, no HTTP)1.2µs
Total3.7µs
8,919x faster than distributed

Graviton4 Extrapolation

Based on H33.ai's verified FHE benchmarks comparing M4 Max to Graviton4 (c8g.metal-48xl, 192 vCPUs), the ARM architecture shows ~1.7x single-core throughput improvement on tight computation loops.

Metric M4 Max (measured) Graviton4 (estimated)
Full pipeline per-tick 3.7µs ~2.2µs
Single-core ops/sec 8.3M ~14M
96-worker ops/sec N/A (16 cores) ~1.3B
Concurrent streams at 20Hz 13,500/core ~23,000/core
Cost per broadcast pipeline op <$0.000001

Methodology: Graviton4 extrapolation uses the scaling factor observed in H33.ai's verified FHE benchmarks (BFV inner product: M4 Max → Graviton4 = 1.7x throughput improvement, system malloc, 96-worker Rayon pool). V100 broadcast modules use similar tight-loop RwLock + HashMap patterns. Actual Graviton4 benchmarks will be published when the production deployment is live.

Test Suite — 938 Tests, Zero Failures

Every component tested. Every test passing. Every build verified.

606
v100-turn lib
PQ crypto, SFU, broadcast, neural codec, deepfake
134
Gateway
Rate limiter, coalescing, cache, auth, headers
134
Integration
RFC 5389/5766, broadcast latency, signaling
64
Security + Compliance
JWT, SSRF, XSS, HIPAA, PQ edge cases
ALL TESTS PASSING
Suite Tests Coverage
v100-turn (Rust)606PQ crypto, SFU rooms, neural codec, deepfake, signaling
Gateway (Rust)134Middleware, auth, rate limiting, coalescing, cache, headers
Broadcast + RFC134RFC 5389/5766/8489 compliance, latency benchmarks
Meeting Signaling37JWT, rooms, PQ relay, rate limiting
Security13JWT alg confusion, SSRF, XSS, path traversal
HIPAA Compliance14Audit logging, access controls, encryption, integrity
Total938Zero failures

Gateway Benchmarks

After gateway optimizations (request coalescing, Cachee-backed tiered cache, QUIC support), V100 achieves 0.01ms server processing and 220K+ RPS on Apple Silicon.

Tested on Apple Silicon (localhost) · Release mode · Server-Timing header verified

0.01ms
Server Processing
10µs via Server-Timing header
220,661
RPS (Apple Silicon)
~1M+ extrapolated on Graviton4 96-core
0%
Error Rate
Zero errors under full load

Latency Distribution

Metric 50 Concurrent 200 Concurrent
p50 latency 2.1ms 12.1ms
p95 latency 5.3ms
p99 latency 13.4ms
Single request (warm) 0.38ms (380µs)
Server processing 0.01ms (10µs)

Cache & Rate Limiter

Component Latency Notes
L1 Cache (DashMap) sub-nanosecond In-process, lock-free
L2 Cache (Cachee) 31ns Distributed cache layer
Rate limiter (local hit) 0ns 95% of requests
Rate limiter (Cachee sync) 31ns 5% of requests

Optimizations: Request coalescing, Cachee-backed tiered cache (sub-ns L1 DashMap + 31ns L2), QUIC support, 95% local rate limiter hit rate. Gateway numbers are verified on Apple Silicon localhost. Graviton4 96-core extrapolation: ~1M+ RPS.

96 Microservices, One Binary

When a score changes in a live PPV broadcast, this happens in the same tick:

Wagering Sync
Pushes PTS-synchronized event to sportsbooks
AI Director
Evaluates if this moment triggers a camera cut
Graphics Engine
Updates the score bug overlay automatically
Clip Engine
Marks a potential clip point for social
Voice Dubbing
Translates the commentator's reaction in 40 languages
CEA-608/708
Embeds "GOAL" in the caption stream
Interactive Overlay
Updates viewer prediction widgets
QoE Analytics
Checks if traffic spike needs a CDN switch
Replay System
Queues an instant replay of the scoring play

All in the same memory space. Zero serialization. Zero network hops. Sub-4 microseconds.

Reproduce These Numbers

# Clone and build
git clone https://gitlab.com/drata5764111/v100/v100.git
cd v100/v100-turn
cargo test --test broadcast_latency_bench --release -- --nocapture

# Integration tests (25 tests across all modules)
cargo test --test broadcast_integration --release

Ready to Broadcast at Microsecond Latency?

The only platform where AI Director, DRM, wagering sync, and 93 other services run in a single binary.