Micron × Tvavium · HBM4

HBM4 Workload Stress, Made Measurable.

A world-class, reusable memory characterization platform that turns real AI workload behavior into phase-tagged HBM4 stress signatures, SOA boundaries, and pre-failure guardrails — before customer deployment edge cases become escalations.

HBM4 Workload Stress Thermal & Bandwidth Telemetry SOA Boundary Mapping Pre-Failure Guardrails RCA-Ready Evidence Bundles
HBM4 STRESS · LIVE
Pilot 1
Mem temp
82.4°C
ΔT/Δt 1.8°C/s
Bandwidth
2.71 TB/s
p99 sustained
Headroom
14.2 GB
36GB 12-high
Phase-tagged HBM telemetry
llama-3.1-70b · batch 64 · ctx 32K
prefilldecodeburstsoakthermal hammer
  • STREAM triad · baselinethrottle 0%
  • phi-3-128K · long-context soaklatency knee detected
  • llama-3.1-70B · burst cadencecycle count 142
Scope

Three anchor workloads. High-fidelity extraction.

Workload diversity to expose dominant HBM4 stress dimensions while keeping DOE tractable, reviewable, and reproducible. Broader coverage extends using the same gold image and analysis pipeline.

Capacity + Bandwidth

Llama-3.1-70B-Instruct

Capacity and bandwidth stress from large-model inference; representative of practical customer serving workloads.

Primary stress signatures
  • Prefill burst
  • Decode steady state
  • Batch ramps
  • Concurrency changes
  • p95/p99 latency
  • HBM footprint
  • Throttle fraction
  • Memory temp slope
KV-Cache + Residency

Phi-3 128K (long context)

KV-cache and long-context stress; designed to isolate context length, memory headroom, and residency effects.

Primary stress signatures
  • Context length growth
  • KV-cache footprint
  • Prefill/decode split
  • Memory headroom
  • TTFT
  • p99 latency knee
  • HBM temp gradient
  • Bandwidth pressure
Bandwidth Baseline

STREAM

Controlled memory-bandwidth baseline for attribution; separates platform memory bandwidth and thermal response from LLM software behavior.

Primary stress signatures
  • Read/write/triad bandwidth
  • Sustained temp response
  • Throttle onset
  • Baseline headroom under power/cooling constraints

From “does it pass?” to “how does AI execution stress HBM4?”

A reusable platform that turns workload behavior into ranked stress mechanisms, SOA maps, and RCA-ready evidence.