
British AI chip startup Fractile raises a $720 million Series C
The UK government puts the valuation above £5 billion, and the CEO says first chips and systems ship next year.
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The UK government puts the valuation above £5 billion, and the CEO says first chips and systems ship next year.

On October 23 attackers reached development machines and exposed billing data, metadata, and incomplete customer model weights.
Inference engines must recheck permission, and output stops within 35 seconds of an intervention decision.

About 100 Private Chat accounts and 18 agents were exposed; two Cloud API keys were revoked and no CVE was named.
The authors propose five principles as a recursive procedure for turning local findings into testable mechanistic claims.
With a 1,024-token cap already applied, the method reports 36.53% fewer FLOPs and a 0.77% mean relative score drop.
An entropy gate at a 16% escalation rate scores 62.7% on 150 GSM8K problems, using 0.87 of all-high bytes.
Figures are dated October 2026 and cover vLLM, SGLang, KV cache, and a four-layer serving stack.

A Crusoe test of Snapshot cut GLM-5.3 readiness from about eight minutes to 31 seconds.

TPU 8tx, designed with AMD, targets confidential training and inference; TPU 8i Max doubles memory in one package.
On unseen Mistral-7B-v0.3, all six predictions fell in band and vLLM throughput was predicted within 0.4%.

NVIDIA releases Dynamo-optimized recipes for four Korean open models delivering up to 2x performance on multi-GPU setups.
Buoyant has released Kinference, an open source inference control plane for Kubernetes and vLLM.
A closed-form ridge map fills upper-layer cache; reported TTFT gains are 1.25–1.60x on tested Qwen setups.

From Blackwell Ultra to Vera Rubin, HBM per GPU rose about 3% while claimed agentic throughput per dollar rose up to 30x.
Qualcomm Cloud AI 100 Ultra offers 150W TDP, 128GB DRAM and 548GB/s bandwidth for cloud and on-premises AI inference.
Interconnects research finds open model inference is growing exponentially but remains small compared to closed models.
Test-time value predictors plus cross-layer key compression give about 4× compression and up to 5× decode throughput.
NVIDIA demonstrates three methods to accelerate Mixture-of-Experts inference, increasing Ling-3.0-flash throughput by 42.5% on DGX Spark.
Community shares Mac Studios, RTX 3090 systems, and GPU clusters for models like DeepSeek-V4-Flash
A single malicious worker forces premature LLM termination with small output perturbations that evade local activation-based verification.
ForkAttention keeps each query branch identical to an isolated forward pass while reusing GPU-resident graphs and checkpoints.
On Wan2.1 and HunyuanVideo the authors report skipping 89–92% of attention with up to 2.23× speedup.
Across five benchmarks, the plug-in cuts inference FLOPs 20.6% on average versus the strongest efficient baseline while keeping competitive accuracy.
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