--- slug: cookbook/capacity/hardware-coverage title: Hardware coverage checklist --- This checklist tracks the hardware lookup catalog, not FastVideo runtime or kernel support. A searchable device can still be unsupported by a model, backend, or kernel. Capacity is never inferred from a marketing family name. Batch 1 is the reviewable foundation in [hardware.yaml](/FastVideo/cookbook/capacity/hardware.yaml): **52 variants across 40 families** — 31 NVIDIA, 6 AMD, 3 Intel, and 12 Apple entries; 38 dedicated-memory devices and 14 unified-memory systems. Every entry has a vendor source URL and a checked date. ## Batch 1 — shipped in this change Priority order: devices named by existing recipes/baselines and the previous picker, then common consumer, workstation, and data-center variants. | Priority | Family | Variants | Memory | Why now | | --- | --- | --- | --- | --- | | 1 | NVIDIA H100 | SXM 80 GB, NVL 94 GB | Dedicated | Recipe/baseline anchor; SXM MIG profiles | | 1 | NVIDIA H200 | SXM 141 GB | Dedicated | Common data-center target | | 1 | NVIDIA B200 | 180 GB | Dedicated | Previous picker | | 1 | NVIDIA GB200 | Blackwell GPU 186 GB | Dedicated | Previous picker; per-GPU, not pooled | | 1 | NVIDIA A100 | SXM 80 GB | Dedicated | Common data-center target; MIG profiles | | 1 | NVIDIA L40S / L4 | 48 GB / 24 GB | Dedicated | Common serving cards | | 1 | NVIDIA RTX 5090 | 32 GB | Dedicated | FastH3 consumer baseline | | 1 | NVIDIA RTX PRO 6000 Blackwell | Workstation 96 GB | Dedicated | FastH3 consumer baseline | | 1 | NVIDIA RTX 4090 | 24 GB | Dedicated | FastH3 FP8 baseline | | 1 | NVIDIA DGX Spark GB10 | 128 GB, 64 GB OEM | Unified | FastH3 Spark baseline | | 1 | Apple M4 Max | 36, 48, 64, 128 GB | Unified | FastMetal tested 36 GB recipe | | 1 | Apple M5 Max / M5 Ultra | 48/64/128 GB; 96/256/512 GB | Unified | Current Mac Studio/MacBook Pro options | | 2 | Apple M1 Pro / M2 | 16 GB / 8 GB | Unified | M1 Pro FastMetal evidence; low-memory Apple systems | | 2 | NVIDIA RTX 50 series | 5080 16, 5070 Ti 16, 5070 12, 5060 Ti 16/8 | Dedicated | Common consumer cards | | 2 | NVIDIA RTX 40 series | 4080 Super 16, 4070 Ti Super 16, 4060 Ti 16/8 | Dedicated | Common consumer cards | | 2 | NVIDIA RTX 30 series | 3090 24, 3080 12/10 | Dedicated | Widely installed | | 2 | NVIDIA RTX 6000 Ada / A6000 / A5000 / A4000 | 48 / 48 / 24 / 16 GB | Dedicated | Workstations | | 2 | NVIDIA RTX 5000 Ada / 4000 Ada | 32 / 20 GB | Dedicated | Workstations | | 2 | AMD Instinct MI300X / MI325X / MI355X | 192 / 256 / 288 GB | Dedicated | Data-center alternatives | | 2 | AMD Radeon RX 7900 XTX / RX 9070 XT | 24 / 16 GB | Dedicated | Consumer alternatives | | 2 | AMD Radeon PRO W7900 | 48 GB | Dedicated | Workstation alternative | | 2 | Intel Arc A770 / B580 | 16 / 12 GB | Dedicated | Consumer alternatives | | 2 | Intel Data Center GPU Max 1550 | 128 GB | Dedicated | Data-center alternative | ## Batch 2 — next reviewable additions These are deliberately not asserted in the catalog yet. Add them only with a vendor source and checked date. - [ ] NVIDIA H100 PCIe 80 GB, H200 NVL, B300/GB300 variants. - [ ] NVIDIA A100 40 GB, A40, A10, A30, T4, V100 16/32 GB. - [ ] NVIDIA laptop GPUs, separated by laptop power/board variant and VRAM. - [ ] NVIDIA RTX 5070 laptop, 5060/5050 desktop, 4070/4060 desktop variants. - [ ] NVIDIA RTX PRO 6000 Max-Q and Server Edition (separate from Workstation). - [ ] NVIDIA DGX Station / OEM Grace-Blackwell systems. - [ ] AMD Instinct MI250X, MI210, MI300A; Radeon RX 9060 XT, W6800. - [ ] Intel Arc B570, Flex 170/140. - [ ] Apple M3 Max/Ultra, M2 Max/Ultra, M4 Pro, and remaining older configurable sizes. - [ ] Additional MIG/vGPU profiles where a vendor documents the partition size. - [ ] Systems with a documented host-RAM configuration for offload estimates. ## Validation rules The build fails on duplicate IDs, names, aliases, or family variants; duplicate or malformed sources; missing checked dates; unknown units, vendors, kinds, backends, or dtypes; usable budgets above nominal capacity; partitions above the full device; and unified entries that hide capacity in a generic `memory_gb` field. - `memory.nominal` and `memory.usable` keep the authored value/unit (`GB` or `GiB`); the build also exports normalized decimal `memory_gb` and `usable_memory_gb`. - Dedicated records expose VRAM. Unified records expose shared system memory and never expose it as VRAM; the estimator uses a labeled 75% application default and accepts an explicit `memoryBudgetGiB` override. - `partitions` are separate selectable allocations. Selecting one never silently inherits the full-card capacity; a vendor-documented profile may explicitly span the full memory. If no partition is selected, the full device is used. - `aliases` preserve old UI links and search names; canonical IDs remain stable. - `sources[].checked` records when the vendor page was verified, not when the device was released. ## Deliberately out of scope - Claiming kernel, dtype, backend, or model support from catalog presence. - Browser-side detection of the remote generation host. Lookup is user input. - Summing per-GPU capacity into a pool. GPU count and topology are separate. - Inventing usable-memory reserves for macOS, Windows, or OEM systems. A budget must come from a documented policy or the user. - Treating a successful generation as a measured minimum-VRAM result.