Apple192 GB VRAM800 GB/s$0/hr

Falcon 3 10B Instruct on Mac M2 Ultra (192GB unified): Does It Fit, How Fast, What It Costs

Falcon 3 10B Instruct at FP16 needs 20.0 GB for its weights and 30.7 GB in total at 8K context with 8 concurrent users. That means it fits on a single Mac M2 Ultra (192GB unified). Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
30.7 GB needed / 192 GB available
Decode speed
26.00
tok/s per stream
Aggregate
312.0
tok/s @ 8 concurrent
Cost / 1M tokens
—
1× Mac M2 Ultra (192GB unified) · quote required
What changes as you add Mac M2 Ultra (192GB unified)s
Tensor-parallel degree vs VRAM, throughput, and cost. Cost scales linearly with GPU count; decode throughput scales near-linearly too, so cost per token stays roughly flat.
GPUsTotal VRAMVRAM neededDecode tok/sAggregate tok/sTTFTCost / 1M tokFits?
1× Mac192 GB30.7 GB26.00312.012.20 s—✓
2× Mac384 GB30.7 GB44.2010616.12 s—✓
4× Mac768 GB30.7 GB88.4042433.08 s—✓
8× Mac1536 GB30.7 GB176.8169731.55 s—✓
Concurrency vs context length
On 1× Mac M2 Ultra (192GB unified) at FP16. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K256687.2 MB✓ fits
8K1281.34 GB✓ fits
33K325.37 GB✓ fits
66K1610.74 GB✓ fits
131K821.47 GB✓ fits
Other GPUs that run Falcon 3 10B Instruct
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB1×698.9$0.1987
AMD MI300X 192GB1×2067$0.3360
V100 SXM2 32GB1×351.0$0.3957
A100 40GB SXM41×604.5$0.4136
AMD MI325X 288GB1×2340$0.4155
A100 80GB SXM41×780.0$0.4274
Frequently asked questions

Can Falcon 3 10B Instruct run on Mac M2 Ultra (192GB unified)?

Yes. Falcon 3 10B Instruct at FP16 needs 30.7 GB including the KV cache, and Mac M2 Ultra (192GB unified) has 192 GB — so it fits on a single GPU.

How fast is Falcon 3 10B Instruct on Mac M2 Ultra (192GB unified)?

26.00 tokens/sec per stream and 312.0 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 12.20 s, and inter-token latency is 38.5 ms.

What does Falcon 3 10B Instruct on Mac M2 Ultra (192GB unified) cost per million tokens?

— per 1M output tokens at 1× Mac M2 Ultra (192GB unified). That is the marginal hardware cost — add idle capacity, ops, and egress for the real figure.

How much VRAM does Falcon 3 10B Instruct need on Mac M2 Ultra (192GB unified)?

20.0 GB for the weights at FP16, plus 10.7 GB of KV cache for 8 concurrent requests at 8K context — 30.7 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is Mac M2 Ultra (192GB unified) the right choice for Falcon 3 10B Instruct?

It works. Compare — per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 4× RTX 3080 10GB at $0.0551, and the fastest is 1× Cerebras CS-3 (WSE-3) at 7800 tok/s.

Adjust the workload yourself

Same formulas, your context length, concurrency, and quantisation.

Open in calculator