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Detect Intel Arc Battlemage GPUs and fix the SYCL stack path #7443

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Detect Intel Arc Battlemage GPUs and fix the SYCL stack path #7443

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cffeceb
detect Intel Arc Battlemage GPUs and fix the SYCL stack path
sergio Oct 7, 2026
eee8f41
xe driver (Battlemage): read VRAM from the PCI BAR aperture when lmem…
SergiioB Oct 7, 2026
aaed4fd
detect-hardware: read module list from /proc/modules, not lsmod
SergiioB Oct 7, 2026
801ad91
add Intel backend contract (pinned server-intel image)
SergiioB Oct 7, 2026
accceaf
02-detection: don't abort the phase when lspci can't name the Arc card
SergiioB Oct 7, 2026
35a8b71
emit Intel multi-GPU topology so phase 03 GPU assignment works
SergiioB Oct 7, 2026
3eecdb8
02-detection: place Intel topology after GPU_TOPOLOGY_JSON init
SergiioB Oct 7, 2026
7385957
preflight + config renderer: recognize intel/sycl backend and ARC tie…
SergiioB Oct 7, 2026
7c92215
detection: emit integer memory_gb in intel topology when VRAM is whole
SergiioB Oct 8, 2026
d5e35d8
fix(intel): bound B570 memory and tolerate optional PCI names
Lightheartdevs Oct 8, 2026
8966c99
audit: integrate published PR 7400 with current main
Lightheartdevs Oct 8, 2026
6f4a34e
audit: integrate published PR 5527 with current main
Lightheartdevs Oct 8, 2026
ccbd825
audit: integrate published PR 7036 with current main
Lightheartdevs Oct 8, 2026
1e1bce6
audit: integrate published PR 7412 with current main
Lightheartdevs Oct 8, 2026
2f243c8
audit: integrate published PR 7413 with current main
Lightheartdevs Oct 8, 2026
cec71b5
audit: integrate published PR 5771 with current main
Lightheartdevs Oct 8, 2026
4853a00
audit: integrate published PR 5787 with current main
Lightheartdevs Oct 8, 2026
08098df
Merge commit 'd5e35d88835799c9ef2e36ed82f920019b565c8f' into audit/ba…
Lightheartdevs Oct 8, 2026
f0ff026
Merge validated software batch into PR #7443
Lightheartdevs Oct 8, 2026
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14 changes: 14 additions & 0 deletions ods/config/backends/intel.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
{
"id": "intel",
"llm_engine": "llama-server",
"service_name": "llama-server",
"public_api_port": 8080,
"public_health_url": "http://127.0.0.1:8080/health",
"provider_name": "local-llama",
"provider_url": "http://llama-server:8080/v1",
"runtime": {
"llama_server": {
"linux_image": "ghcr.io/ggml-org/llama.cpp:server-intel-b9014@sha256:9c7bbaad3663523a3deb8927d3cfbf58d33f00a7634c69843e9eeeda01568c1b"
}
}
}
180 changes: 180 additions & 0 deletions ods/config/gpu-database.json
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Original file line number Diff line number Diff line change
Expand Up @@ -287,6 +287,166 @@
"backend": "nvidia",
"tier": "NV_ULTRA"
}
},
{
"id": "arc_pro_b60",
"match": {
"device_ids": ["0xe223"],
"name_patterns": ["Arc Pro B60", "Battlemage G31", "BMG-G31"]
},
"specs": {
"label": "Intel Arc Pro B60 (Battlemage G31)",
"vendor": "intel",
"architecture": "xe2",
"memory_type": "discrete",
"memory_mb": 24576,
"memory_source": "vram",
"bandwidth_gbps": 456
},
"recommended": {
"backend": "intel",
"tier": "ARC"
}
},
{
"id": "arc_b580",
"match": {
"device_ids": ["0xe20b"],
"name_patterns": ["Arc B580", "B580"]
},
"specs": {
"label": "Intel Arc B580 (Battlemage)",
"vendor": "intel",
"architecture": "xe2",
"memory_type": "discrete",
"memory_mb": 12288,
"memory_source": "vram",
"bandwidth_gbps": 456
},
"recommended": {
"backend": "intel",
"tier": "ARC"
}
},
{
"id": "arc_b570",
"match": {
"device_ids": ["0xe20c"],
"name_patterns": ["Arc B570", "B570"]
},
"specs": {
"label": "Intel Arc B570 (Battlemage)",
"vendor": "intel",
"architecture": "xe2",
"memory_type": "discrete",
"memory_mb": 10240,
"memory_source": "vram",
"bandwidth_gbps": 380
},
"recommended": {
"backend": "intel",
"tier": "ARC"
}
},
{
"id": "battlemage_g31_generic",
"match": {
"device_ids": ["0xe220", "0xe221", "0xe222", "0xe224"],
"name_patterns": ["Battlemage"]
},
"specs": {
"label": "Intel Battlemage G31",
"vendor": "intel",
"architecture": "xe2",
"memory_type": "discrete",
"memory_mb": 24576,
"memory_source": "vram",
"bandwidth_gbps": 456
},
"recommended": {
"backend": "intel",
"tier": "ARC"
}
},
{
"id": "arc_a770",
"match": {
"device_ids": ["0x56a0"],
"name_patterns": ["Arc A770", "A770"]
},
"specs": {
"label": "Intel Arc A770 (Alchemist)",
"vendor": "intel",
"architecture": "xe",
"memory_type": "discrete",
"memory_mb": 16384,
"memory_source": "vram",
"bandwidth_gbps": 560
},
"recommended": {
"backend": "intel",
"tier": "ARC"
}
},
{
"id": "arc_a750",
"match": {
"device_ids": ["0x56a1"],
"name_patterns": ["Arc A750", "A750"]
},
"specs": {
"label": "Intel Arc A750 (Alchemist)",
"vendor": "intel",
"architecture": "xe",
"memory_type": "discrete",
"memory_mb": 8192,
"memory_source": "vram",
"bandwidth_gbps": 512
},
"recommended": {
"backend": "intel",
"tier": "ARC_LITE"
}
},
{
"id": "arc_a580",
"match": {
"device_ids": ["0x56a2"],
"name_patterns": ["Arc A580", "A580"]
},
"specs": {
"label": "Intel Arc A580 (Alchemist)",
"vendor": "intel",
"architecture": "xe",
"memory_type": "discrete",
"memory_mb": 8192,
"memory_source": "vram",
"bandwidth_gbps": 512
},
"recommended": {
"backend": "intel",
"tier": "ARC_LITE"
}
},
{
"id": "arc_a380",
"match": {
"device_ids": ["0x56a5"],
"name_patterns": ["Arc A380", "A380"]
},
"specs": {
"label": "Intel Arc A380 (Alchemist)",
"vendor": "intel",
"architecture": "xe",
"memory_type": "discrete",
"memory_mb": 6144,
"memory_source": "vram",
"bandwidth_gbps": 186
},
"recommended": {
"backend": "intel",
"tier": "ARC_LITE"
}
}
],
"known_gpu_bandwidth": {
Expand Down Expand Up @@ -384,6 +544,15 @@
"M1 Max": 400,
"M1 Pro": 200,
"M1": 68
},
"intel": {
"Arc Pro B60": 456,
"B580": 456,
"B570": 380,
"A770": 560,
"A750": 512,
"A580": 512,
"A380": 186
}
},
"heuristic_classes": [
Expand Down Expand Up @@ -487,6 +656,16 @@
"match": { "vendor": "apple", "memory_type": "unified", "min_ram_mb": 0 },
"recommended": { "backend": "apple", "tier": "T1" }
},
{
"id": "intel_arc",
"match": { "vendor": "intel", "memory_type": "discrete", "min_vram_mb": 10240 },
"recommended": { "backend": "intel", "tier": "ARC" }
},
{
"id": "intel_arc_lite",
"match": { "vendor": "intel", "memory_type": "discrete", "min_vram_mb": 4096 },
"recommended": { "backend": "intel", "tier": "ARC_LITE" }
},
{
"id": "cpu_only",
"match": { "vendor": "none", "memory_type": "none", "min_ram_mb": 0 },
Expand All @@ -497,6 +676,7 @@
"bandwidth_gbps": {
"cuda": 220,
"rocm": 180,
"sycl": 300,
"metal": 160,
"cpu_x86": 70,
"cpu_arm": 50
Expand Down
13 changes: 7 additions & 6 deletions ods/installers/lib/compose-select.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -62,14 +62,15 @@ resolve_compose_config() {
COMPOSE_FILE="docker-compose.amd.yml"
fi
elif [[ "$TIER" == "ARC" || "$TIER" == "ARC_LITE" || "$GPU_BACKEND" == "intel" || "$GPU_BACKEND" == "sycl" ]]; then
# Prefer docker-compose.arc.yml (oneAPI build-from-source) when present;
# fall back to docker-compose.intel.yml (pre-built image) if arc.yml is absent.
if [[ -f "$SCRIPT_DIR/docker-compose.base.yml" && -f "$SCRIPT_DIR/docker-compose.arc.yml" ]]; then
COMPOSE_FLAGS="-f docker-compose.base.yml -f docker-compose.arc.yml"
COMPOSE_FILE="docker-compose.arc.yml"
elif [[ -f "$SCRIPT_DIR/docker-compose.base.yml" && -f "$SCRIPT_DIR/docker-compose.intel.yml" ]]; then
# Prefer docker-compose.intel.yml (pre-built pinned llama.cpp image,
# the same image phase 08 pulls) over docker-compose.arc.yml
# (oneAPI source build, ~10-20 min and too old for Battlemage).
if [[ -f "$SCRIPT_DIR/docker-compose.base.yml" && -f "$SCRIPT_DIR/docker-compose.intel.yml" ]]; then
COMPOSE_FLAGS="-f docker-compose.base.yml -f docker-compose.intel.yml"
COMPOSE_FILE="docker-compose.intel.yml"
elif [[ -f "$SCRIPT_DIR/docker-compose.base.yml" && -f "$SCRIPT_DIR/docker-compose.arc.yml" ]]; then
COMPOSE_FLAGS="-f docker-compose.base.yml -f docker-compose.arc.yml"
COMPOSE_FILE="docker-compose.arc.yml"
fi
else
if [[ -f "$SCRIPT_DIR/docker-compose.base.yml" && -f "$SCRIPT_DIR/docker-compose.nvidia.yml" ]]; then
Expand Down
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