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CUDA to ROCm Porting: HIPIFY Coverage and Manual Rework

CUDA to ROCm Porting: HIPIFY Coverage and Manual Rework

A 2026 guide to CUDA to ROCm porting with HIPIFY evidence, a repository CSV inventory, library substitutions, framework constraints, correctness tests, and procurement acceptance criteria.

10/13/2026• 23 min read
cuda to rocm portinghipifyhipify clang
KV Cache Memory Calculator: Context, Concurrency and GPUs

KV Cache Memory Calculator: Context, Concurrency and GPUs

A 2026 guide to architecture-aware KV cache sizing: calculate bytes per token, replay prompt/output distributions, reconcile vLLM and TensorRT-LLM capacity, and validate replica count against latency targets.

10/13/2026• 24 min read
kv cache memory calculatorkv cache size calculatorkv cache memory formula
NCCL Algorithms and Protocols: Selection and Debugging

NCCL Algorithms and Protocols: Selection and Debugging

A 2026 guide to NCCL algorithms and protocols, covering Ring, Tree, LL, LL128 and NVLS, versioned controls, tuning logs, bandwidth formulas and reversible diagnostic experiments.

10/13/2026• 22 min read
nccl algorithms and protocolsnccl ring vs treenccl ll128
GPU ECC Error Troubleshooting: Xid, Reset, Drain or RMA

GPU ECC Error Troubleshooting: Xid, Reset, Drain or RMA

A 2026 GPU ECC troubleshooting guide for fleet operators: preserve Xid and memory evidence, decide when to drain or reset, validate with DCGM, and assemble a generation-aware OEM escalation package.

10/13/2026• 25 min read
gpu ecc error troubleshootingnvidia gpu ecc errorsuncorrectable ecc
AI Data Center Demand Response and Interconnection Plan

AI Data Center Demand Response and Interconnection Plan

A 2026 acceptance plan for AI data center demand response: workload SLOs, metered curtailment, recovery tests, and the evidence required before signing a flexible interconnection agreement.

10/13/2026• 27 min read
ai data center demand responseflexible data center loadai workload curtailment
InfiniBand Fabric Health: Counters and Fault Isolation

InfiniBand Fabric Health: Counters and Fault Isolation

A 2026 guide to InfiniBand fabric health: read-only topology discovery, port counter interpretation, GPU-cluster fault isolation, evidence-preserving resets and an incident worksheet.

10/13/2026• 24 min read
infiniband fabric healthinfiniband troubleshootingfabric health check
Batch vs Real-Time LLM Inference: GPU Fleet Sizing Guide

Batch vs Real-Time LLM Inference: GPU Fleet Sizing Guide

A 2026 guide to batch vs real-time LLM inference: size private GPU fleets to deadlines, benchmark SLO-qualified throughput, and compare spare-capacity reuse, reserved pools and nightly windows.

10/13/2026• 25 min read
batch vs real-time llm inferencellm inference gpu fleet sizingbatch inference
Cisco Secure AI Factory with Supermicro: October 2026 Buying Gate

Cisco Secure AI Factory with Supermicro: October 2026 Buying Gate

An October 2026 procurement gate for Cisco Secure AI Factory with Supermicro, covering documented configurations, ordering timing, power and cooling, fabric validation, quote normalization, and acceptance evidence.

10/13/2026• 24 min read
cisco secure ai factory with supermicrocisco secure ai factorysupermicro gpu server
NVFP4 vs MXFP4 vs FP8 Inference Compatibility Guide

NVFP4 vs MXFP4 vs FP8 Inference Compatibility Guide

A 2026 compatibility guide to NVFP4, MXFP4, and FP8 across vLLM, SGLang, TensorRT-LLM, NVIDIA and AMD GPUs, with native versus emulated paths, artifact checks, and a reproducible validation protocol.

10/11/2026• 24 min read
nvfp4mxfp4fp8
CPU vs GPU LLM Inference: Low-Concurrency Cost Calculator

CPU vs GPU LLM Inference: Low-Concurrency Cost Calculator

A 2026 guide to private CPU vs GPU LLM inference costs: matched-model tests, p95 latency objectives, whole-server energy, and a trace-driven calculator for reuse, purchases and fleet growth.

10/8/2026• 26 min read
cpu vs gpu llm inferencellm inference costcpu inference
vLLM KV Cache Capacity Planning: Context and Concurrency

vLLM KV Cache Capacity Planning: Context and Concurrency

A 2026 engineering guide to vLLM KV cache capacity planning: calculate architecture-derived bytes per token, reconcile startup allocation, and canary context, concurrency, FP8 and preemption controls.

10/5/2026• 25 min read
vllm kv cache capacity planningvllm kv cache memory calculationvllm concurrency
GPU Power Cap Optimization for Inference: Cost and SLOs

GPU Power Cap Optimization for Inference: Cost and SLOs

A 2026 protocol for choosing inference GPU power caps using same-run energy, latency-qualified throughput, replica rounding and monthly cost scenarios, with NVIDIA, NERSC and Dell evidence.

10/4/2026• 27 min read
gpu power cap optimization for inferencegpu power cappinginference latency
VMware Private AI Cloud in VCF 9.1.1: Now vs Next

VMware Private AI Cloud in VCF 9.1.1: Now vs Next

A 2026 implementation guide to VCF 9.1.1 Private AI Cloud: what is generally available, which AI Gateway and sandbox features are future releases, and the hardware, license and pilot evidence buyers should request.

10/3/2026• 27 min read
vmware private ai cloudvcf 9.1.1vmware ai factory
MIG vs MPS vs Time-Slicing for Kubernetes GPU Sharing

MIG vs MPS vs Time-Slicing for Kubernetes GPU Sharing

A 2026 decision guide for Kubernetes GPU sharing: compare isolation, memory behavior and scheduler resources, then use a workload worksheet, canary scorecard and rollback plan.

10/1/2026• 26 min read
kubernetes gpu sharingmig vs mpsgpu time-slicing
BlueField-4 DPU Qualification for Private AI Systems

BlueField-4 DPU Qualification for Private AI Systems

A 2026 engineering guide to BlueField-4 DPU qualification for private AI, covering scale-in roles, STX differences, DOCA support, measured acceptance tests, and procurement evidence.

9/29/2026• 22 min read
bluefield-4 dpuprivate aiscale-in networking
LLM Inference Metrics: TTFT, ITL, TPS and Goodput

LLM Inference Metrics: TTFT, ITL, TPS and Goodput

A 2026 worksheet for comparing LLM inference benchmarks: define TTFT, ITL, per-user and aggregate TPS, normalize workload and timing boundaries, and reject unsupported goodput claims.

9/28/2026• 24 min read
llm inference metricsttftinter-token latency
DCGM Exporter GPU Monitoring: Metrics, Alerts, Triage

DCGM Exporter GPU Monitoring: Metrics, Alerts, Triage

A 2026 operator guide to DCGM exporter GPU monitoring: field types, alert routing, MIG labels, PromQL templates, cardinality controls, and an incident triage checklist.

9/27/2026• 25 min read
dcgm exportergpu monitoringprometheus metrics
MIG vs MPS vs Time-Slicing: GPU Cost and Isolation

MIG vs MPS vs Time-Slicing: GPU Cost and Isolation

A 2026 engineering comparison of exclusive GPUs, MIG, MPS and time-slicing for inference, with isolation guarantees, model-fit profiles, SLO tests and cost per qualified tenant.

9/26/2026• 25 min read
mig vs mps vs time slicinggpu sharinggpu inference
NVIDIA AI Enterprise 8.2 vs 7.8 LTSB: Upgrade Decision

NVIDIA AI Enterprise 8.2 vs 7.8 LTSB: Upgrade Decision

A 2026 production decision guide comparing R595 and R580 drivers, version-pinned support boundaries, planned April 2027 and July 2028 end-of-life dates, and an upgrade evidence gate.

9/25/2026• 22 min read
nvidia ai enterprise 8.2 vs 7.8 ltsbnvidia ai enterpriseinfrastructure 8.2
Confidential GPU Attestation: H100 to B300 Matrix

Confidential GPU Attestation: H100 to B300 Matrix

2026 comparison of H100, H200, B200, B300 and RTX PRO confidential GPU support, CPU TEE dependencies, attestation evidence, verifier ownership and procurement acceptance tests.

9/24/2026• 28 min read
confidential gpu attestationh100 attestationh200 attestation
Triton 26.08 Upgrade Runbook: CUDA 13.4, Canary and Rollback Testing

Triton 26.08 Upgrade Runbook: CUDA 13.4, Canary and Rollback Testing

A 2026 upgrade runbook for Triton Inference Server 26.08 covering CUDA 13.4.1 compatibility, container image selection, backend validation, canary testing, and rollback criteria.

9/24/2026• 24 min read
triton 26.08 upgrade guidetriton upgrade runbookinference server upgrades