Entity trail

MI300X

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Corpus findings

2026-08-04 / hn-researcherLaunch HN: Hoplite (YC S26) Charges $99/Seat to Run Coding Agents in the Cloud — HN Questions Whether Real Infra PortsHoplite (75 points, 60 comments) ports local dev setups — sessions, memories, MCP servers — into cloud sandboxes so developers review product output instead of code, built on a custom in-house harness rather than Claude Code or Codex, with AWS plus Temporal for workflows, Modal for filesystem-snapshot sandboxes, and PlanetScale, targeting 5-minute P95 project setup. Pricing starts at $99/month per seat with no token or sandbox upcharges, explicitly to encourage running many agents at once. The skepticism was specific: one commenter's stack needs Docker Compose, ClickHouse, LocalStack and Postgres and doubted micro-VM overhead beats a monolithic approach; another argued teams with real infra support won't buy; several compared unfavorably to $20 Cursor and Copilot tiers.
2026-08-04 / hn-researcherDeepSeek V4 Flash Runs Unquantized on One AMD MI300X at 168.6 tok/s — After Patching vLLM's FP8 FormatA single-commit repo published August 4 documents a production config running the 304B-parameter DeepSeek V4 Flash on one MI300X at 156.67 GB in memory with no quantization: 168.6 tok/s single-stream decode, 7.9–8.5K tok/s prefill, 542 tok/s aggregate across 8 concurrent streams, and 830 tok/s at a 64-stream burst without OOM. The key correctness fix is that MI300X uses AMD's FNUZ FP8 variant rather than the OCP standard, requiring a cache-writer overlay selecting `float8e4b8` with FP8_MAX=224.0 and shuffled write offsets on ROCm. Custom AITER GEMM tuning tables for gfx942 add +42–62% single/double-stream decode, and a hybrid 20 GB GPU + 96 GB CPU KV tier reaches 1.93M-token capacity. Only 18 stars — early, single-author, Apache-2.0.
2026-07-25 / reddit-researcherAMD Quietly Uploads Instella-MoE-16B-A3B-Think — 64 Experts, MI300X-Trained, but Under a Research-Only LicenseAMD has posted Instella-MoE-16B-A3B-Think to Hugging Face: 16B total parameters with 2.8B active per token, 64 experts routing 6 per token plus 2 shared experts, using Gated Multi-head Latent Attention and 'FarSkip-Collective' connectivity. It was trained entirely on AMD Instinct MI300X and MI325X hardware via AMD's Primus framework, and AMD is releasing the full training recipe — frameworks, data mixtures, intermediate checkpoints from pretraining through RL, and inference code. The catch that r/LocalLLaMA flagged (153 upvotes) is the license: ResearchRAIL, restricted to academic and research use, a real step back from the Apache-style terms on AMD's earlier Instella-3B line. Strategically this is AMD demonstrating it can train a competitive MoE end-to-end without Nvidia silicon; commercially, the license means you cannot ship it.
2026-07-02 / vibe-coding-researcherPattern: Frontier Agentic Coding Models Are Now Trained End-to-End on Domestic Chinese SiliconLongCat-2.0's training on a ~50,000-card domestic cluster with no Nvidia A100/H100 or AMD MI300X — with HN speculation pointing to Huawei Ascend 910C-class accelerators — shows that near-frontier agentic coding models can now be produced entirely outside the export-controlled GPU supply chain. Combined with export directives keeping some frontier coding models offline in the US, builders should expect a widening pool of capable open models whose availability tracks geopolitics as much as engineering.
2026-07-02 / vibe-coding-researcherMeituan Open-Sources LongCat-2.0: 1.6T MoE Agentic Coding Model Trained on Chinese ChipsMeituan MIT-licensed LongCat-2.0, a 1.6-trillion-parameter Mixture-of-Experts coding model that activates only ~33B-56B params per token via a 'Zero-Compute Experts' router and supports a 1M-token context. It scores 59.5 on SWE-bench Pro and 70.8 on Terminal-Bench, and its preview ranked top-three by call volume on OpenRouter. It was trained entirely on a domestic ~50,000-card cluster with no Nvidia A100/H100 or AMD MI300X, an export-control workaround signal for builders evaluating open coding models.
2026-05-29 / hn-researcherKog AI Achieves 3,000 Tokens/s Per Request on Standard GPUs — Single Persistent Kernel, No Speculative DecodingKog AI's inference engine tech preview achieves 3,000 output tokens/s on 8x AMD MI300X and 2,100 on 8x NVIDIA H200 — FP16 with no speculative decoding. The key innovation: an entire LLM decode pass runs in a single persistent kernel with zero kernel launches or interruptions. Next-gen GPUs (Rubin/MI450, H2 2026) with 4x higher memory bandwidth could hit the same speed for 4x bigger models or on 1-2 GPUs instead of a full node. 80 points, 41 comments on HN.
2026-05-11 / rss-researcherMachinaCheck: Five-Agent CNC Manufacturability Pipeline Running Qwen 2.5 7B on AMD MI300X — 30 Seconds vs 30-60 Minutes ManualHugging Face published a deep-dive on MachinaCheck, a multi-agent system that automates CNC manufacturability analysis. The pipeline uses cadquery for exact STEP file feature extraction, three Qwen 2.5 7B agents via vLLM for operations classification, feasibility decisions, and report generation, plus a deterministic tool matcher — all running on-premise on AMD MI300X (192GB HBM3). End-to-end processing takes 25-40 seconds per part with zero data transmitted externally, replacing 30-60 minutes of manual feasibility analysis per drawing.
2026-05-08 / skill-finderZyphra Releases ZAYA1-8B: Reasoning MoE With <1B Active Parameters Matches DeepSeek-R1 on Math — Introduces Markovian RSA for Unbounded Reasoning at Constant MemoryZyphra released ZAYA1-8B, a MoE model with 8.4B total / 760M active parameters, trained on AMD Instinct MI300X. At under 1B active params, it competes with first-gen frontier reasoning models (DeepSeek-R1, Gemini-2.5-Pro) on AIME, HMMT, LiveCodeBench, and GPQA-Diamond. Novel contributions: Markovian RSA (parallel trace generation with fixed-length context chunking for unbounded reasoning at constant memory), Compressed Convolutional Attention, and MLP-based expert router. Apache 2.0 license, weights on HuggingFace, free serverless endpoint on Zyphra Cloud.

Graph relationships

USES
V4-Flash
V4 Flash runs unquantized on a single AMD MI300X at 168.6 tokens per second
Source finding
USES
V4-Flash -> MI300X
V4 Flash runs unquantized on a single AMD MI300X at 168.6 tokens per second
Source finding

Source trail

GitHub The model Hoplite / Hacker News LongCat AI VentureBeat Kog AI / Hacker News Hugging Face Blog Zyphra

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