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Thelio Mira AI Linux Workstation: 192 GB GPU Memory

System76 launches the Thelio Mira AI Linux workstation from $3,299 with dual NVIDIA RTX Pro 6000 GPUs and 192 GB GPU memory for local AI workloads.

System76's Thelio Mira AI is a locally built (Denver, Colorado) Linux workstation for AI training, fine-tuning, and inference, starting at $3,299. Configurations go up to a 16-core AMD Ryzen 9000 CPU, 192 GB DDR5 RAM, and dual NVIDIA RTX Pro 6000 Blackwell GPUs delivering 192 GB of (ECC) GPU memory with liquid cooling, dual PCIe 5.0 x16 slots, and up to three M.2 NVMe drives. It ships with Pop!_OS 24.04 LTS or Ubuntu and is positioned as a way to avoid recurring cloud GPU costs.

Hacker News · AI · 4d agoAI industryHN 44↑ · 27 comments

A new open standard locks AI weights to approved hardware

OPAQUE releases Weight Custody Manifest, an open standard keeping AI model weights encrypted until receiving hardware cryptographically attests to builder-specified conditions.

OPAQUE, a confidential computing company, released the Weight Custody Manifest (WCM) standard as a developer-preview specification with a Python SDK and a public test suite of 91 cases. WCM keeps model weights encrypted until the receiving infrastructure proves via CPU/GPU attestation that it matches builder-signed conditions, and decryption access can be revoked later if conditions change. OPAQUE says it ran the attestation exchange on an NVIDIA H100 and on AMD and Intel confidential servers hosted on Azure and Google Cloud, with two independent SDK builds producing identical output across 5,948 files. The public quickstart only exercises protocol logic on synthetic evidence and skips GPU cryptographic verification, and the standard cannot distinguish an authorized key from one physically extracted from hardware.

Help Net Security · 5d agoAI safety & security

Speculative Decoding in vLLM on AMD GPUs

vLLM benchmarks speculative decoding on AMD Instinct MI300X and MI355X GPUs across five drafting methods including EAGLE-3 and native MTP.

The vLLM project documents draft-and-verify speculative decoding support for AMD GPUs via ROCm, comparing native MTP, Gemma 4 MTP, EAGLE-3, DFlash, and DSpark drafting approaches. Output-token throughput effects varied with drafting method, proposal length, model family, draft checkpoint, workload, and acceptance behavior. The post also covers how to enable each method plus practical tuning and observability considerations.

Hacker News · AI · 8d agoAI tools & infraHN 141↑ · 52 comments1

USN-8728-1: Linux kernel (GCP) vulnerabilities

Ubuntu issued kernel security update USN-8728-1 for GCP kernels fixing Arm TLB and AMD Zen 2 privilege escalation flaws (CVE-2025-10263, CVE-2025-54518).

Ubuntu released USN-8728-1, a security update for the Linux kernel used on Google Cloud Platform images. It fixes CVE-2025-10263, where certain Arm processors complete broadcast TLB invalidation before memory writes are globally observed, allowing local attackers to bypass memory protections or escalate privileges, and CVE-2025-54518, an AMD Zen 2 operation cache isolation flaw that can corrupt higher-privilege instructions. The notice also corrects several other kernel security issues.

Ubuntu Security Notices · 8d agoAdvisory 6 sourcesCVE-2025-10263CVE-2025-54518

Microsoft’s Project Zenith is a ‘distraction-free Windows experience’ for developers

Microsoft branded its developer-optimized Windows setup Project Zenith, with 64GB+ memory devices from AMD that run 30B+ parameter AI models locally.

Microsoft named its developer-focused Windows configuration Project Zenith, targeting new hardware with 64GB or more of unified memory. AMD unveiled the first Project Zenith device at IFA, a miniature PC powered by Ryzen AI Halo chips, with more devices expected in the coming months. The setup ships with a preconfigured Windows install and preinstalled developer tools including Visual Studio Code, GitHub Copilot, PowerToys, WinAppCLI, and Windows Dev Skills. Microsoft says it lets developers run 30B+ parameter models locally and unmetered, reducing reliance on metered cloud tokens.

The Verge · AI · 11d agoAI industry1

Related CVEs

  • CVE-2025-102639.1<1%
    Arm C1-Ultra, C1-Premium, Neoverse V3 & V3AE, Neoverse V2, Neoverse V1, Neoverse-N2, Neoverse-N1, Cortex-X925, Cortex-X4, Cortex-X3, Cortex-X2, Cortex-X1 & X1C,
    Arm C1-Ultra, C1-Premium, Neoverse V3 & V3AE, Neoverse V2, Neoverse V1, Neoverse-N2, Neoverse-N1, Cortex-X925, Cortex-X4, Cortex-X3, Cortex-X2, Cortex-X1 & X1C, Cortex-A710, Cortex-A78, A78AE & A78C, Cortex-A77, Cortex-A76 & A76A may allow writes to resources owned by a higher exception level.
    —
  • CVE-2025-545187.3<1%
    Improper isolation of shared resources within the CPU operation cache on Zen 2-based products could allow an attacker to corrupt instructions executed at a diff
    Improper isolation of shared resources within the CPU operation cache on Zen 2-based products could allow an attacker to corrupt instructions executed at a different privilege level, potentially resulting in privilege escalation.
    —

Appears with

vendor AMD 4vendor NVIDIA 2organization NVIDIA 2organization Microsoft 2organization OPAQUE 1organization System76 1product GitHub Copilot 1product Linux kernel 1product Pop!_OS 1product PowerToys 1product Project Zenith 1product ROCm 1product RTX Pro 6000 1product Thelio Mira AI 1product Visual Studio Code 1product vLLM 1
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